Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
Artikel i vetenskaplig tidskrift, 2022

Historically, squeak and rattle (S&R) sounds have been among the top quality problems and a major contributor to the warranty costs in passenger cars. Geometric variation is among the main causes of S&R. Though, geometric variation analysis and robust design techniques have been passively involved in the open-loop design activities in the predesign-freeze phases of car development. Despite the successful application of topometry optimisation to enhance attributes such as weight, durability, noise and vibration and crashworthiness in passenger cars, the implementation of closed-loop structural optimisation in the robust design context to reduce the risk for S&R has been limited. In this respect, the main obstacles have been the demanding computational resources and the absence of quantified S&R risk evaluation methods. In this work, a topometry optimisation approach is proposed to involve the geometric variation analysis in an attribute balancing problem together with the dynamic response of the system. The proposed method was used to identify the potential areas of a door component that needed structural reinforcement. The main objective was to enhance the design robustness to minimise the risk for S&R by improving the system response to static geometrical uncertainties and dynamic excitation.

structural optimisation

structural dynamics

multi-disciplinary optimisation

topometry optimisation

geometric variation

squeak and rattle


Mohsen Bayani

Volvo Cars

Chalmers, Industri- och materialvetenskap

Karl Lindkvist

Lunds universitet

Minh Tang

Lunds universitet

Lars Lindkvist

Chalmers, Industri- och materialvetenskap, Produktutveckling

Casper Wickman

Volvo Cars

Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap, Produktutveckling

Design Science

20534701 (eISSN)

Vol. 8 e17


Produktionsteknik, arbetsvetenskap och ergonomi




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