
Shape Optimization using MCalibration and Abaqus
MCalibration can optimize both the specimen shape and material parameters at the same time. Here’s how!
MCalibration can optimize both the specimen shape and material parameters at the same time. Here’s how!
Soft polymer foams, and some other materials, often exhibit different stiffnesses in uniaxial tension and compression. Most material models cannot predict this type of behavior, but there are some excellent choices for this.
A material model is considered Drucker’s stable if an increase in strain results in an increase in stress. In some cases it can be important to enforce that a material model is Drucker’s stable. This article shows how you can easily achieve this in MCalibration.
Here is a presentation about (non-linear) material modeling of polymers. I gave the presentation on 2021-06-24.
It is easy to create stress-strain plots for any Abaqus material model using MCalibration. This article shows how.
Introduction In this article I will show how you can quickly convert any Ansys material model (in APDL format) into stress-strain predictions using MCalibration. That
MCalibration supports not only a large selection of pre-defined material models, but you can also define your own material model using a Template.
Demonstration of how to use different FE solvers and solver templates in MCalibration.
The Extended Tube model is one of the most accurate hyperelastic material models available, but it can be difficult to use if you don’t understand how the material parameters influence the predicted stress-strain response. This article will demonstrate that by example.
Short description of how to setup MCalibration so it can use Ansys as a solver.
The Ogden-Roxburgh Mullins effect model is highly non-linear. In this article I will graphically illustrate how the different parameters influence the predicted stress-strain response.
Tutorial showing how to calibrate a PolyUMod TNV stress-strain and failure model to experimental data.