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Double Optimization Design of the Formula Racing Car Frame Based on the Variable Density Method and the Joint Variable Method

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Bibliographic Details
Title: Double Optimization Design of the Formula Racing Car Frame Based on the Variable Density Method and the Joint Variable Method
Authors: Weiyang Ma, Yanhui Lu, Pengyu Wang, Yongjia Wang, Jiahao Wang
Source: Applied Sciences, Vol 13, Iss 10155, p 10155 (2023)
Publisher Information: MDPI AG
Publication Year: 2023
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: formula racing car frame, topology optimization, sensitivity analysis, lightweight design, variable density method, adjoint variable method, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Description: In the Formula Student Racing Car, the frame is a fundamental component that supports the body. The frame’s anti-deformation ability will impact the four-wheel positioning parameters of the car, which subsequently affect the car’s stability. The quality of the frame directly determines the power and efficiency of the racing car, making the frame crucial to the overall race performance. Therefore, researching lightweight frame design is particularly important to enhance frame performance and reduce its total weight. In this paper, based on the variable density method, the global topology optimization of the frame is carried out to obtain the distribution of the frame material, realize the efficient utilization of the material, and improve the torsional stiffness of the frame. Compared with the previous local topology optimization, the global topology optimization involves a wider range, and the results are more accurate. Based on the adjoint variable method, the sensitivity analysis of the frame is carried out to obtain the influence level of each design variable. The size of the frame is optimized according to the variables with high influence levels. After optimization, the total mass of the frame is reduced by 12.8%; the performance in terms of maximum displacement and maximum stress is improved; and the lightweight design of the frame is realized as a whole.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2076-3417/13/18/10155; https://doaj.org/toc/2076-3417; https://doaj.org/article/c0055929a9e3406ea0f5fccb6319176d
DOI: 10.3390/app131810155
Availability: https://doi.org/10.3390/app131810155
https://doaj.org/article/c0055929a9e3406ea0f5fccb6319176d
Accession Number: edsbas.44ADD1D6
Database: BASE
Description
Abstract:In the Formula Student Racing Car, the frame is a fundamental component that supports the body. The frame’s anti-deformation ability will impact the four-wheel positioning parameters of the car, which subsequently affect the car’s stability. The quality of the frame directly determines the power and efficiency of the racing car, making the frame crucial to the overall race performance. Therefore, researching lightweight frame design is particularly important to enhance frame performance and reduce its total weight. In this paper, based on the variable density method, the global topology optimization of the frame is carried out to obtain the distribution of the frame material, realize the efficient utilization of the material, and improve the torsional stiffness of the frame. Compared with the previous local topology optimization, the global topology optimization involves a wider range, and the results are more accurate. Based on the adjoint variable method, the sensitivity analysis of the frame is carried out to obtain the influence level of each design variable. The size of the frame is optimized according to the variables with high influence levels. After optimization, the total mass of the frame is reduced by 12.8%; the performance in terms of maximum displacement and maximum stress is improved; and the lightweight design of the frame is realized as a whole.
DOI:10.3390/app131810155