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Nonlinear Static Simulation of an Oil and Gas Multicontact Seal Application

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Description

The simulation will cover the setup of a rotational symmetric nonlinear static simulation with a nonlinear material model, a hyperelastic model, or a plastic elastic model. The sealing application will have several parts made from nonlinear polymeric materials where it’s essential to have a good set of material data, and the presentation will show examples of this. The different parts in the application will have multiple contact areas where it’s important to select the correct face-to-face setup for friction, penetration, and stabilization of the contact. The simulation will also show how to use multiple subcases to facilitate additional loading with a temperature increase and a hydraulic pressure buildup. This simulation will give a good impression of the initial deformation of the loaded parts.

Key Learnings

  • Learn how to use the improved contact in Inventor Nastran 2023.
  • Learn the setup of a multibody nonlinear static simulation.
  • Learn the setup of proper nonlinear material models for rubber or plastic-like materials.
  • Learn how to run a simulation with multiple loading, enforced motion, temperature change, and hydraulic pressure buildup.

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Transcript

ARNE KJAER: So welcome, everybody, to our presentation. The class in ENR501474, Nonlinear Static Simulation of an Oil and Gas Multicontact Seal Application. My name is Arne Kjaer. I'm the CEO and owner of PTFE Engineering.

I'm a polymer specialist and mechanical engineer from the Technical University of Denmark. I have 39 years of experience in development of material compositions and processing within the PTFE industry.

First FEA material model work was in 1992 with the University of Stuttgart. Polymeric material modeling for six years with Autodesk, Nastran, LS Dyna, COMSOL, and ANSYS. Met David first time at AU 2015 in Las Vegas.

David Weinberg, my co-speaker today, is a distinguished research scientist with Autodesk. David works for Autodesk Product Development and Manufacturing Solutions, Nastran Simulation and Generative Design group.

The primary developer of Autodesk Nastran and Inventor Nastran currently leads the team of developers of Autodesk Nastran. Over 35 years' experience in FEA simulation, working both as a user for several large Aerospace companies and as a developer.

David is also a retired US Air Force aircraft commander and pilot.

Together David and me, we have been doing two presentations before at AU. First time, AU 2018 Las Vegas where we presented Challenges of Simulating Advanced Materials in Nonlinear Applications. And then again in 2019, also in Las Vegas, with the title of Simulating with Nonlinear Materials like Hyperelastic and Isotropic Polymer Materials.

We have this safe harbor statement which is supplied to all people coming from Autodesk. This is a long one, we will just pass. Go on.

Today we will have some learning objectives. And this is prepare the inventor assembly to the Nastran Simulation. We will make setup of a nonlinear static Nastran analysis from in inventor assembly.

We'll try to use material model data from customer material measurements. Using multiple subcases using same constraints and loads. Setup of enforced motions and surface pressure. Optimize the mesh and mesh control to get reliable results in less time. And special parameters setting to help the analysis running.

And then we will have a look at the results, how to interpret those.

Today's case story is an inspection hatch in a machinery with high pressure and elevated temperature. It needs to be sealed off so the inside substance cannot escape to the outside. This hatch is constructed to be used for this demonstration of inventor Nastran 2023. This case is constructed only for the AU 2022 in New Orleans, United States of America.

Here we have a cross section of the hatch. And the hatch, you can see, have a upper lid here with some glass. And we have the machinery assembly where we have the sealing groove. And we have a seal sitting here with some support ring and some metallic springs.

We have in this case, we will be calculating with a pressure of 1450 PSI. And we will be calculating today the temperature at 73 Fahrenheit.

This is a little closer look to the assembly. And here we have the PTFE seal. And we have the metal spring and we have the so-called PEEK backup ring. The PEEK ring is preventing the seal from extruding into the gap here.

The case story is that we need to make an assembly to be able to simulate it. The metal spring has to be exchanged by a spring force or a surface pressure. So this spring here, we will need to get the spring out of the assembly otherwise before we can simulate it.

And what do we simulate in this class here? We simulate that we have the groove, the metal groove, here. We have the lead, we have the seal. We have the PEEK backup ring. So what we are doing is we are applying it in fast motion to the lid. So closing down the lid so the seal gets activated.

And then inside the seal, we apply a spring force. And then we apply also hydraulic pressure inside. And this is the result when we have the high pressure and we have the spring force.

So we can see how is the contact between the seal and the lid and the groove, and the seal and the PEEK ring, and the PEEK ring and the metal groove. And then we release everything at the end so we can see and estimate if there are some kind of permanent deformation.

This is a short video just showing how the simulations are going to be. Where we can press down the lid, we activate the seal. We apply the hydraulic pressure and the spring force inside. So you can see the seal is moving and pressing on the PEEK ring. And the PEEK ring is pressing on the metal groove and keeping the seal inside the hatch.

We make a special inventor assembly. And this contains of the lid, the metal groove, and the seal, and the backup ring. So it is an assembly containing of four parts. And these four parts we will use for the simulation going into the Nastran.

Here is a smaller cross-section of the simulated assembly. And here we have the metal lid. We will apply an enforced motion to the lid. We have the PEEK backup ring here. And we have the PTFE seal.

And we have the fixed constraint seal groove here where we will apply the pressure. The seal, we have divided the seal into where split the surface. So we can apply different constraints and loads on the different areas of the seal.

This is a very small piece of the assembly where we have taken out 0.5 degrees or 1 degree angle slice of the whole assembly. And this is the part which we will use to apply into the Nastran. And where we will make the simulation on this one. So again, the enforced motion lid, the PEEK backup ring, the PTFE seal, and the metal seal groove which will be constrained fully.

So this is the seal again where you can see we have divided the surface here into different sections. So we can apply a spring load into two of the sections. And we can apply the hydraulic pressure into the areas where the hydraulic pressure will be running.

When we have the assembly, it's very important that we place the whole assembly. We place it in the zero point of our system, our coordinate system. So we use 0, 0, 0. So we have a fully control about where our parts are inside the coordinate system.

All the different parts, we constrain them. So we have a small distance between all the parts. They are not touching each other before we go into the Nastran. So we have a clear idea about where the different surfaces are in relation to each other. So we don't have any surface contact.

The analysis method and the coordinate system and material set up. So here we will first go into the Nastran. The Autodesk and then to Nastran by pushing the environment. And go straight into the Nastran software. And the Nastran software will be starting from that point.

The first thing we do when we now are inside the Nastran simulation software is we choose Analysis. It's by default put to Linear Static. We will right click on this one and go down and choose a Non-Linear Static Simulation for the whole simulation of today.

Because we had a slice of a round cylindrical part, we will choose to create a new coordinate system. We will not use the standard coordinate system down here. So we'll take the coordinate system and add a new one by right clicking.

We choose a cylindrical system. And then we manually put in the coordinate points for our cylindrical coordinate system. We start here at .000, which is where we put the path originally.

And then we apply directions to the main coordinate system where we have the angular and where we have the z-axis. And then we can use, it will come down here when you applied in the new coordinate system. And here we have just enlarged so you can see that the circular is actually going around in the right directions.

The material data for the three different solids-- we have the three different solids. The material part up here and down here. We take as a stainless steel. So first we choose to put the coordinate system, we have to choose the cylindrical system.

After choosing the cylindrical system, we choose that we have the seal groove and the top plate, so these two parts here. And then we choose to select this material. It was stainless steel already in Inventor. And he will adopt this material in here because the stainless steel is a material which is already in the database system of the Autodesk material database or the Inventor material database.

So all this information we need, they are already in because they are in the system. And here we just apply the solid and we call it stainless steel.

The next material we will apply is the PEEK material. And this is solid number three, so the green one. And again we have to choose the cylindrical coordinate system we apply at the PEEK ring.

Then we go into the material database. And then in our system we have the PEEK ring. So we select the material and choose the selected material. And we get this sheet here where we have the different material data libraries.

And we ask to load the database. And database is something we have created in our company. And here we have information, this is for the Victrex PEEK 450g. And we load this into our system and we get all this information automatically coming.

When we have these materials here, the sheet with the basic information about the PEEK, we can choose or push on this nonlinear button here. And we get this sheet where we can choose between four different methods of nonlinear isotropic materials.

In this one here, we have chosen a plastic which gives this type of curve. So we have the straight strain data which we got from Victrex. And when we ask to show all this data, we have just the pin put in. And here we get the curve. And this is the curve which the system will be using. So we have a straight line here up to the yield point. And then we have a very high plastic deformation after that point.

And this is what we more clearly can see here. The plastic, he has a straight line-- actually from 0 up to the yield point. So the yield point here defined as 95 megapascals. And then we have a plastic deformation after this point. So this is what we will use for the PEEK.

These are the data that we got from Victrex in the UK. And Dr. John Grasmeder, my old friend, kindly provided me the green curve for the stress strain data from the PEEK material. And we calculated what we call the true stress strain data, which are the data we have applied into the material database here.

The last material, the PTFE part, we do the same. Choose the cylindrical system that we applied in the PTFE seal. And then we go in and find again the material which we have already uploaded into our material database.

And in this case here, it's again isotropic material. We are using here nonlinear elastic material. So we have both compressive and tension inside these. And these are the data we have added in through the system.

And here we see again all the data we have put in from measurements we have been doing. We show the xy here. And here we have the compressive area of the curve. So this is when you compress the PTFE material. And this is when you extend the PTFE material. These are the data, which the Nastran will use for the calculations.

In this case here, we are on the material basic sheet. We ask the system to use the principal stress as a failure theory. So we can use this data. When he surpasses this information, it will automatically say it fails.

These are the data that we have been using for the PTFE. This PTFE is filled with carbon fiber, 10%. And we have the green curve. This is what we have been measuring in the lab where we have engineering stress strain data from compressive up to a tensile strain. And this we have been calculating from the engineering data up to the true stress strained data. And the true stress strained data are the data that we have put into the system.

So now we have all these solids which we need, so the idealization. And we have the stainless steel, we have the PTFE with carbon fiber and we have the Victrex PEEK. So now we have all the basic material information ready.

When you are working with your own material data and you have to find them yourself, measure them. This is basically what you need to run a fairly simple FEA.

You need the specific gravity. You need reference temperature. You need elastic modulus in tension and compression. You need the Poisson's ratio. You need the tensile limit, your compression limit, yield limit, tangent modulus, and thermal expansion coefficient. This is what you need to make your own material data.

These are the three samples which we are using basically for our first investigation of a material. There is the tensile test bar, small bar here for thermal expansion. And this is for compressive testing of the material.

This is the typical tensile test for a virgin PTFE. So it's a different material that we will also simulate with this one later in the presentations.

The compression tests here we typically compress it down to a minus. So 0.4, so 40% compression of the height of the billet. And measure the force we need to do that and calculate the stress.

Thermal expansion, we have the spatial bar very small. And we measure here from -22 plus 120 degrees Celsius. We measure the physical length of the part. And from that point, we calculate the thermal expansion quotient.

This is the typical tensile stress strain curve. This is from the PTFE with carbon fiber. So this is the engineering stress which has been measured in the lab. And then we calculate by this recognized method here the true stress strain. You can also measure true stress strain, but it is very complicated equipment you need to do that.

When we make a material data for simulating Nastran, we typically are making the test for the tension and compression. And we are using three different temperatures-- so 248 Fahrenheit, 73 Fahrenheit, 5 Fahrenheit.

And here you can see the difference on the same material. The blue one is the cold one, the green one is the room temperature, the red one is the elevated temperature material information. And you can see it's a big difference. And it's very important that you recognize that when you are simulating.

We are using what's called the strain rate of 0.01. So we are testing so the deformation is running what I would call fairly slowly. Which is for first simulations, to my opinion, a good idea.

Then we go in to set up further the case. So this set up on the Nastran, we need four different subcases. And initially we will just set up three subcases-- so subcase number 1, 2 and 3-- by just right click and New. And then we have all these three because these three will have the same, share a lot of information.

So here we make the constraints. So again when we choose to constrain here, we choose the coordinate system. This is important that we are running in the cylindrical system. And we choose Fixed. We fix everything.

We choose here the Surfaces. So the surface we fix on the sealed groove. These two surfaces, we fix them completely so we can't move anywhere. And then because it was already defined, three subcases. So I can then apply all three subcases to have this constraint.

The same we do with the cylindrical constraints. We use again the correct coordinate system. We choose all the side surface here and say we have symmetry. So we choose the symmetry around the [INAUDIBLE] And then it shows these three settings as fixed. And then I choose again the three different subcases. So we set up all three subcases at the same time.

The motion constrained because we are running enforced motion. So in the simulation, we will move. This oval lid, we move it down a certain distance. We need a constraint on top of that with the cylindrical system.

And here we choose just one direction, down, to fix that. And this is the surface. So we take the whole surface on the lid and all three subcases we need this because we will make enforced motion in all three subcases.

All constraints are now defined and will operate in all three subcases. That's why we set up three subcases from the beginning.

Then to contacts. We have to identify the contacts between all the elements who are in touch or who will touch each other.

And I'm always using the manual setup. So I choose the manual setup. I choose the separation. I'll choose unsymmetrical penetration type, meaning that the primary entry will be the stiffer part. And the secondary entry will be the softer part, so the flexible part. And this is the non-flexible part.

For a number of reasons that we will come back to, we have chosen the [? correction ?] of friction. We have eliminated it or put it at 0. And we make activation distance automatic. We'll just push this to the bottom here.

We select the harder surfaces, the lid, and the softer surfaces, the PTFE seal. And these are all these surface areas here we are defining as the softer part.

However I just took this top part on test visibility, so it disappeared. It's still in the simulation. But I can see now if I go into the surface contact I can see the blue is the hard part, so this one here. And the red ones are, this one's on the [? ceiling. ?] So these are basically just you can see that you have added the correct one.

We do all this with all the different contact areas. So we have on the bottom here, we also choose this part of the PTFE because everything will be in contact with the bottom groove. This is the same on symmetric hard material, soft material and no friction.

This is the same. We are using also between the PEEK and the PTFE. All is the same. And we use it between the PEEK and the lid. And this is the surface contact here between the PEEK and the groove, the ceiling groove. So we have now defined all the surface contacts.

The loads, we have to apply some loads. And here we have the three different subcases. We have three different loads scenarios in all, or actually in four subcases because we will add a fourth subcase later. We push the load.

And here we have to choose the cylindrical system. We choose an Enforced Motion. And again this Enforced Motion we need to apply. In the first three subcases, we have put here a distance. And this is going down as 0.15 millimeters, which is in inches 0.006 or something like that.

And we choose as the Enforced Motion and we do it in all three subcases. So we have to do that. We have to choose the cylindrical system. And now the lid will move down in the first subcase. And this is the only thing we're doing in the first subcase.

In the second subcase here, we apply another Enforced Motion. And the same cylindrical system, now we apply -0.3. So now we have a 0.3 in the second motion and first we have 0.15. And you have to add these together. So in total, it will be moved down -0.45 millimeters.

And these apply only to subcase 2 and 3. And again, we choose the surface here on top of this one. We can choose also the bottom surface, but just one surface and the direction will do there.

So we have this Enforced Motion. It goes in subcase 1, 2 and 3. And Enforced Motion 2 is only valid in subcase two and three.

So here we apply again in subcase 2. We apply this as spring force or we miss the metal spring. So here we have applied pressure. So we take normal to surface, we take pressure here. We apply the magnitude of the pressure, 0.75 megapascal. It's about 108 PSI. And this is applied in subcase 2 and 3.

Subcase 3 we add on top of all the other loads. We apply another pressure of 10 megapascal, like 1450 PSI, on all the inside surface-- almost all the inside surface-- of the PTFE. And this is valid only in subcase 3. And this is the hydraulic pressure which will activate in subcase 3.

Now we will make subcase 4. In subcase 4, we just duplicate subcase 3. This gives us all the same constraint and all the same loads. But it gives us a copy of the load. So this load, we can change the numbers in the copy without changing the numbers in the first three subcases. So I think it's a nice way of doing it.

You get it all automatically, but you get it as new constraints and new loads. And this you can change as you like. So we remove all the forces of the Enforced Motion 1. We simply just remove this. We just need one Enforced Motion to go back to 0.

Here we have the hydraulic pressure copy. We put it to 0 pressure, so we remove all the inside pressure. Here it is gone. We take Enforced Motion 2, we take it to the magnitude. And this is the relative nature of 0. So we put the lid back to the 0 position.

Then we have Meshing and Mesh Control. The mesh, the Nastran will suggest you some kind of mesh size. And typically I will have a look if how it fits through the cross-section of the parts.

And in this case, I like to get it a little bit finer than what it takes. So I take it down to 0.519 instead. And then we make what is called a mesh control of 0.3035. And the mesh control we do only on the PEEK ring and on the PTFE ring.

So the two major parts, it's fine with the coarser mesh. It's run faster and it's OK because we don't have any deformation in this area. So we are only interested in the PEEK and the PTFE.

For the mesh control or mesh system, we are typically using an Excel sheet where we put in the value, which we say this is the suggested value of what we choose as a first starting point. And then we can calculate if we want to make it finer, the mesh, or we want to make it more coarse.

And then this Excel sheet here will calculate the different mesh size for us. And we're using this to figure out how many elements, nodes, what are the stresses we get, and then we estimate the wall clock time.

So how long does it take the software to calculate? And will it run, will it complete at all? And this we are doing to find the better balance between the time of the simulation and the correctness of the results. So if you get better results.

Nonlinear setup, we need to-- All subcases, we have a nonlinear setup. And we need to change all those. Or not change them, but in the intermediate output we will choose. It's standard set to Off. And we set it to All so we can see. It will update the graphics during the simulation so you can follow how it's working through.

And then we have some parameters we can choose from. On the bottom of the tree, we have parameters where we can go and set different parameters if the default are not OK. And here we are choosing contact stability. It's called CONTACTSTAB. You need to check this advanced settings box.

And you just search here, he finds it. It's default put to auto. And typically it will be off running. And we choose here to put it to On because we need to stabilize the different contact points.

The contact points, these are between the nodes. And we have my friend David who will explain to you about the contact step, the description of what it's doing and how it's basically working.

Now we are ready to run. And it's just hitting the Run button here. And then we will start the simulation.

Now we run the analysis. And the analysis will complete. In this case, it completed in the first one. It's not always the case, but here we were lucky. And you can see down here, completed load 4.0. So 4 subcase, you went to the end. And there we can estimate how it is working.

We need to change the plot. So you put this option here, push this one. And then you get the plot. And here we will, under the control, specify minimum, maximum. So I specify the axis here going from 0 to 20 megapascal on this one. And then I basically always have this as twice as much as this one, so 40.

And then I push the plot and I get a replot where the colors are reassigned and the bar is going from 0 to 20 megapascal. This makes it possible to compare all the results all the stress levels. You can compare from the individual subcases. Subcases we have loaded differently and of course, we will get a different response.

So here we have afterload case number one, where we just moved the upper lip down to get into contact with all the parts. And here you can see it's just starting. And of course we are at almost 0 stress.

Subcase 2, we put the lid down in the correct position and we applied the inside pressure from which [INAUDIBLE] the metal spring. And of course now we get a lot of stress inside. We apply the hydraulic pressure inside the seal. The reason we did not apply it outside here, the pressure, is because we have the same pressure on this side and this side. So we just say, for the simulation purpose, we don't need to apply pressure on that area.

And this is after subcase 4, where we see the lid is back. All pressures are released. We still have some indication of stress inside here. The stress is because we have a small permanent deformation. And the software calculates if we have deformation, we have stress. But the stress will be 0.

This is a small movie showing how we are looking at the different subcases. So here we have only enforced motion. And when we go to the subcase, basically it's just what you have been seeing. And we push up there at the end of the subcase 1 and we see that it's moved down.

And we have now contact between all the parts almost. Not the PEEK, it is still floating freely between the seal groove and the PTFE seal.

In subcase 2, we have the spring. We have the two enforced motions. So now we have pushed it down -0.45. And we apply the spring force inside our spring pressure inside the metal seal. And here you see now we gain some contact in this area here. So we have a sealing contract already now.

And it will go on to the next one, subcase 3. And here it is spring pressure. It is hydraulic pressure, enforced motion 2 and 1. So these are all the four loads applied at the same time. And here we can again see how it's looking after the different number 1. This is after number 3, sorry.

So here we have a lot of pressure. We have a lot of contact. Everything has been squeezed out. You can see here the original shape of the seal. So all the seal have expanded on the diameter. We have a high load outside in the hatch roof.

And after releasing the pressure, everything is run to 0. You can see down here it shows we put all parameters to 0.

And here everything is released back again. And we are having some permanent deformation, a little bit you can see compared to the original shape. The seal is pressing the PEEK ring out.

And here we have been running the same simulation but with a different material. This is the PTFE. The virgin PTFE will be running.

So you can see the-- It's the same deformation where we have applied the spring force. And this is showing that you have still a good contact here.

And here we applied the full load. So when you see very heavy deformation on the seal lips and [INAUDIBLE] because the material is much more softer. And still we have a very big contact at the end of the seal now.

And this is after reloading. Where with a softer material, we see very big, permanent deformation on the seal. The seal has expanded, still pushing on the PEEK ring. So he expands the diameter, lips are getting smaller. This is exaggerated compared to real life. But this shows you that it is worth having a look on the simulation.

We are running the analysis with different mesh sizes. So we have, this is the original mesh size we start with for all parts. And then what we are doing is that we are changing the mesh to see if it runs faster, if we get less failures or less warnings.

And we see how the stress level is going. The stress level should be smaller and smaller, which is better and more accurate. The higher stress we get, the more inaccurate the simulation is.

This is a mesh size where we have used a very coarse mesh. We still have the same with the friction. And here we have a fairly higher stress in what we were having in the video you just saw.

Here we look at the wall clock time. You can find on the Nastran page. Wall clock time-- we monitor this because the faster it gets, the faster the system is running. We look at the warnings, we have about four. We like to have zero, but four is very fine. And no fatal errors.

We changed here the mesh. So here we have mesh control. So the seal and the backup ring, we have also a coarser mesh than in the first simulation you saw. And again here we have a little shorter wall clock time. And we have the same amount of warnings but much, much higher stress in the area. So this is not a good indication for this mesh.

Here we took the mesh. We keep the mesh, general mess. And we reduce this one. And our wall clock time is going up. We still have the same warnings. And then the maximum stress is going down. So it's indicating that we are having a better simulation.

We have been running with different combinations of the basic mesh and the mesh control. And here we monitor the nodes and elements.

How many do we have? What kind of freedom do we have in the system? Our degree of freedoms. And in this one here, we have now increased the wall clock time. The warnings go up a little bit. And even the stress goes up a little bit. So we were running with a bigger mesh and this is not good.

The same here. We have now increased the mesh even more. And the nodes and elements goes very down. And then we have a very fast time, 136 seconds. And we still have four warnings. And the size of the stresses, it could be OK. And it's on its way down, so that's a good sign.

And this here is even more coarse. We have 115 seconds of wall clock time warnings. We only have two warnings. But still we have a little high. The basic picture on the seal looks to be OK. But on this part here we had when we turned the part around, we have this small part here is sticking up.

And this is a node which has penetrated the surface on the counterparts of the metal. This node is actually inside the metal bar. And this is of course wrong. And this we like to avoid by changing and controlling the mesh and also controlling the situation around the frictions and so on and so on.

Mesh, the aspect ratio of the mesh is very important. And it's very important that we have. And this is what David will explain in more close details during the live presentation.

We have different types of aspect ratio which we have to control. One important thing is the mesh should fit. So if you have the blue is the figure and the green is the mesh, the mesh does not fit very well. And this is what we like. In all kinds of shapes and colors, we like the mesh to follow as close as possible.

Final, we have run 1 and 2. Run 1 and 2 is where we change the piece of PTFE material. So the first one, we chose the carbon fiber filaments here, the data from before. And we have the starting point. You see we have subcase 1 touching. And then we have applied the small pressure inside. It's what you have seen before.

In subcase 3, where we have all the pressures inside and the motions and then we release it in here, we see only very, very small differences from the original shape. The PEEK ring likes to get up because it's pushed out by the PTFE seam.

And what we did is we changed. Now you can see here the difference between the end of subcase 4. And this is the beginning, before we start. So you see the difference-- not very big, but that's a little bit.

Then we change the material to a virgin PTFE called TF1620 with data we also had. And here we have subcase 1, that's where we start. 2 looks normal. 3 same as subcase 2. Sorry, same as before.

Contact, no more stressors on them. And then we apply the pressure. The pressure is better distributed in this material because the material is floating. It's deforming.

And then when we release it, we see a very heavy plastic deformation. This is exaggerated compared to real life. But it shows us that this material is stressed out beyond the heat point. And we should consider, if we use this in the real application, using a different material as the first one.

So here again you see the starting point and after subcase 4. So there's a very big difference. This is because it's a softer material. And this is why we are simulating, to illustrate these kind of things.

So these are the PTFE-- 10% carbon fiber and the virgin PTFE. So you see here full pressure. We have a better sealed surface on the harder material. And more it is still a sealed surface, but it's the same pressure almost all over. We don't like that. And then we have the heavy deformation on the virgin PTFE.

So we are now happy to answer your questions if any one of you have some. And then at the end, we say thank you a lot for your attention.

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Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

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Strictly necessary – required for our site to work and to provide services to you

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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