The previous post talked about the version of the Calibration App that was released with 2018x HotFix4 and HotFix5.  This post will speak to the version to be released soon with the June, 2019 release of 2019x of the 3DExperience Platform.  This is an exciting release for our calibration app !  We are providing coverage for many more material models, including the PRF model, the TLVP model and the combined hardening metal plasticity model. In the 2018x version we focused our attention on writing a very fast "analytic kernel".  In this analytic kernel, or analytic mode, we wrote, from scratch, all the equations needed to calibrate hyperelastic and hyperfoam material models in a highly performant calculational kernel.  But continuing to write all equations from scratch would take a long time to cover all the material models in Abaqus.  For the 2019x release, we focused on developing a light weight material response evaluator based on calling Abaqus/Standard.  In this way we avoided re-writing many man-years of code, and we are assured that the calibration tool has a material response identical to that of Abaqus (good from a V&V perspective).  In our 2019x FD03 release the user may switch between the analytical mode and the numerical mode. 

Here are some slides outlining the new release and our roadmap for the future:

I will post several examples of using the new version of our Calibration App.  This app is available for use on-premise or on-cloud.  The on-cloud execution is well suited to companies that might not be using other parts of the 3DExperience Platform.

Here is a narrated video showing the calibration of a Johnson-Cook elasto-plastic material model to a single piece of uniaxial test data for an aluminum 356 material. The test data can be found here. This example uses the numerical mode.

Here is another video of the calibration of an elasto-plastic Johnson-Cook material model.  This one is for 1018 low-carbon steel.  This test data is available here.  This test data shows a classic issue with the test, in that some slack was present in the test fixture and the first few data points are not correct, not believable.  The video shows how one would remove the first few points, correcting the data using the zero-shift capability of the calibration app.

In metal plasticity, isotropic hardening is often used for cases like stamping (metal forming). But when the application involves cyclic deformations in the plastic regime, a combined hardening plasticity model is used to more accurately capture the behavior observed in reversed loading. Here is an example of fitting a combined hardening model to the cyclic test data of copper (from Benchmark Manual section 3.2.8).  The test data can be found here. This example uses the numerical mode.

Here is an example of calibrating a Hyperelastic-Prony series model to a family of rate curves for butyl rubber.  The butyl rubber test data can be found here.  For applications such as drop testing, or crash, a family of rates is a common test data set to use as the basis for rate (time)-dependent material models. This example uses the analytical mode.

Here is a narrated video showing the calibration of a PRF material (parallel rheological framework) model for an automotive grade of polypropylene.   See this post for an Isight calibration that I did several years ago for this same material, and a fuller report on the polypropylene test data. The polypropylene test data is available here. In this video, I chose to try just one viscous network. This material model is available only in the numerical mode.

Please keep visiting this post, as I will be adding other videos in the near future.  As always, if you can donate any test data, please contact me!

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