Accelerate System-Level Simulation with Reduced Order Models (ROMs) of Flexible Bodies from CAD
Overview
High-fidelity models based on Finite Element Analysis (FEA) provide detailed insights into component behavior but are often too computationally intensive for system-level simulations, especially when rapid iterations or control system verification are required.
In this webinar, you’ll learn how to create a Reduced Order Model (ROM) of a flexible body—specifically, an excavator dipper arm—using the Craig-Bampton method. We’ll demonstrate both code-based and app-based workflows to generate the mass, stiffness, and damping matrices. In the second part, you’ll see how to integrate the ROM into a multibody simulation in Simulink, enabling efficient and accurate system-level analysis.
Highlights
- Explore different workflows of importing CAD file into MATLAB/Simulink environment.
- Create Reduced Order Model (ROM) of a flexible body.
- Implement the ROM for fast and accurate system-level simulation.
About the Presenters
Jens Lerche
Application Engineer | MathWorks
Jens has been working as an Application Engineer at MathWorks since 2013. Since early 2016, he has primarily supported customers in the production equipment engineering sectors in Germany and Austria. His technical focus lies in creating Mechatronic System Simulation and Digital Twins. Prior to joining MathWorks, Mr. Lerche earned his Master’s degree in Mechatronics from TU Dresden and spent several years in the automotive industry.
Chyannie Fahdzyana
Application Engineer | MathWorks
Chyannie is an Application Engineer at MathWorks Benelux, The Netherlands. Chyannie received her PhD degree in Mechanical Engineering from the Eindhoven University of Technology in 2021. At MathWorks, she focuses on topics related to Digital Twins, optimization, modelling and control, data analysis, and AI.
