Introduction

Introduction

The Cyber-Physical Simulation (CPS) group at the Department of Mechanical Engineering at TU Darmstadt focuses on the development of advanced computational methods that integrate mechanical simulation and design optimization with multi-scale and multi-physics systems.

We aim at facilitating a seamless thread or digital twin connecting the digital design, simulation and optimization process with physical manufacturing and utilization processes, thus enabling engineers to develop reliable, high-quality products with advanced functionality in short product design cycles.

Our interdisciplinary research is centred around three core themes that connect mechanical engineering, numerical mathematics and computational science:

1. Computational methods for solving ordinary and partial differential equations in engineering, in particular structural and continuum mechanics, as well as isogeometric analysis.

2. Design and optimization methods and their integration into seamless digital design, simulation, optimization and manufacturing frameworks.

3. Engineering applications in advanced manufacturing technologies and enhancement of computational methods with multi-physics, multi-scale and data science approaches.

Overview Cyberphysical Simulation
 

News

  • 2021/09/22

    Lecture “Introduction to FEM” in winter term 2021-2022

    The CPS group is offering the masters lecture Introduction to the Finite Element Method (6 CP, 4 SWS) in winter term 2021-2022. It will be carried out in a blended learning format with learning units in Moodle and interactive lecture sessions.

  • 2021/09/16

    Student assistant position available

    The Cyber-Physical Simulation Group (CPS) currently has an opening for a student research assistant

  • 2021/08/17

    New article on 3D printing of functionally graded hyperelastic materials

    Congratulations to our PhD student Iman Valizadeh, who lead the research on the “Tailoring of functionally graded hyperelastic materials via grayscale mask stereolithography 3D printing”, which was just published in the journal Additive Manufacturing. The work was a collaborative effort with the suppuort of the IDD institute of TU Darmstadt. The manuscript can be freely accessed for 50 days at https://authors.elsevier.com/c/1dbK67tcTWdlNm