Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle

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 in...

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Main Authors: Mohsen Bayani, Karl Lindkvist, Minh Tang, Lars Lindkvist, Casper Wickman, Rikard Söderberg
Format: Article
Language:English
Published: Cambridge University Press 2022-01-01
Series:Design Science
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2053470121000263/type/journal_article
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author Mohsen Bayani
Karl Lindkvist
Minh Tang
Lars Lindkvist
Casper Wickman
Rikard Söderberg
author_facet Mohsen Bayani
Karl Lindkvist
Minh Tang
Lars Lindkvist
Casper Wickman
Rikard Söderberg
author_sort Mohsen Bayani
collection DOAJ
description 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.
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spelling doaj.art-4de811edd21646f98daf3ba6cb785caf2023-03-09T12:32:05ZengCambridge University PressDesign Science2053-47012022-01-01810.1017/dsj.2021.26Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattleMohsen Bayani0https://orcid.org/0000-0002-5303-6694Karl Lindkvist1Minh Tang2Lars Lindkvist3Casper Wickman4Rikard Söderberg5Complete Vehicle Engineering, Volvo Car Corporation, Gothenburg, Sweden Industrial and Materials Science, Chalmers University of Technology, Gothenburg, SwedenDepartment of Design Sciences, Lund University, Lund, SwedenDepartment of Design Sciences, Lund University, Lund, SwedenIndustrial and Materials Science, Chalmers University of Technology, Gothenburg, SwedenComplete Vehicle Engineering, Volvo Car Corporation, Gothenburg, Sweden Industrial and Materials Science, Chalmers University of Technology, Gothenburg, SwedenIndustrial and Materials Science, Chalmers University of Technology, Gothenburg, SwedenHistorically, 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.https://www.cambridge.org/core/product/identifier/S2053470121000263/type/journal_articlesqueak and rattlegeometric variationstructural optimisationtopometry optimisationstructural dynamicsmulti-disciplinary optimisation
spellingShingle Mohsen Bayani
Karl Lindkvist
Minh Tang
Lars Lindkvist
Casper Wickman
Rikard Söderberg
Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
Design Science
squeak and rattle
geometric variation
structural optimisation
topometry optimisation
structural dynamics
multi-disciplinary optimisation
title Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
title_full Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
title_fullStr Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
title_full_unstemmed Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
title_short Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
title_sort geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
topic squeak and rattle
geometric variation
structural optimisation
topometry optimisation
structural dynamics
multi-disciplinary optimisation
url https://www.cambridge.org/core/product/identifier/S2053470121000263/type/journal_article
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