Robust Contact Computation in Non-Rigid Variation Simulation
Journal article, 2024

In non-rigid variation simulation, contact modeling is used to avoid the virtual penetration of the components in the adjacent areas. Numerical errors and convergence issues due to the deformation behavior of the interacting surfaces are limiting the computational efficiency of solving the contact problem. In this paper, a quadratic programming approach has been introduced based on the Lagrangian multiplier method for robust contact modeling in non-rigid variation simulation, and the performance of the proposed approach has been compared to the previously applied iterative and barrier function methods. The methods have been compared on three industrial reference cases, and the convergence and time-efficiency of each method are compared. The results show that robust optimization of the quadratic program associated with the contact model is highly dependent on the reduced stiffness matrix condition. Furthermore, it has been shown that robust and efficient contact computation in non-rigid variation simulation is achievable through the proposed augmented Lagrangian method.

computer-aided manufacturing

computation

robust

virtual prototyping

contact

computer-aided engineering

GD&T/tolerance modeling

quadratic program

process modeling for engineering applications

non-rigid assembly

advanced computing infrastructure

Author

Roham Sadeghi Tabar

Chalmers, Industrial and Materials Science, Product Development

Samuel C Lorin

Chalmers, Industrial and Materials Science, Product Development

Lars Lindkvist

Chalmers, Industrial and Materials Science, Product Development

Kristina Wärmefjord

Chalmers, Industrial and Materials Science, Product Development

Rikard Söderberg

Chalmers, Industrial and Materials Science, Product Development

Journal of Computing and Information Science in Engineering

1530-9827 (ISSN)

Vol. 24 8 081006

Digital quality assurance for sustainable industry

VINNOVA (2021-01854), 2021-07-01 -- 2024-06-30.

Subject Categories

Computer Engineering

Production Engineering, Human Work Science and Ergonomics

Computational Mathematics

Computer Science

Areas of Advance

Production

DOI

10.1115/1.4065570

More information

Latest update

8/7/2024 1