Calibration of a Numerical Simulation with Experimental Results Critical for Reliable Predictions

Every numerical method relies on the accurate choice of models, solver settings, and material parameters in order to be able to mimic real-world behavior. This also applies to Discrete Elements Method (DEM) simulations. You could use standard material properties, but adjusting those material interaction parameters using automated calibration methods is a key step for accurate simulations.

You could use standard material properties, but if you want to simulate reality, it is important to understand that the materials actually vary from site to site. Adjusting those material interaction parameters using automated calibration methods is a key step for accurate simulations. Even with basic materials, friction and restitution coefficients between particles and particles and boundaries have to be adjusted in order to accurately predict the bulk flow behavior. When extra forces come into play, such as adhesion forces, those additional parameters also need to be selected and properly specified. Continue reading

How to Make Smart Digital Twins

digital twins dynardoDigital twins continue to grow in importance. Here in Germany, engineers at many companies, including Bosch and Daimler, are dealing with complex applications and the challenge to improve the product performance to come up with an optimized and robust virtual design. They need to determine and evaluate the robustness of virtual prototypes, considering scattering effects, which is difficult or not even possible in hardware tests. Software is used to accurately and rapidly generate proper samples and the resulting understanding saves them a lot of time and money in prototyping so they can stay competitive. Continue reading