Optimal Design of the Frame of Baja Racing Car for College Students

Fu, Shuanglin; Li, Yaoping; Gonghang,; Xiong, Xiong; Hu, Linjie; Jun, Hu; Zhou, Shuai

doi:10.1007/978-981-16-2090-4_17

Cited by 1 publication

(2 citation statements)

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“…[23] Local topology optimization, performance improvement, and the mass were reduced by size optimization but without introducing sensitivity analysis. [24] Local topology optimization, reduced the quality but without introducing sensitivity analysis.…”

Section: Literaturementioning

confidence: 99%

“…The frame mass was reduced by size optimization, but the design parameters were not determined by sensitivity analysis, so the size optimization was blind. Fu et al [24] made the mechanical properties of the frame superior through optimization analysis and realized the lightweight of the frame. However, only the topology optimization of the front cabin was performed, and the sensitivity analysis was not used.…”

Section: Introductionmentioning

confidence: 99%

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

Ma,

Lu,

Wang

et al. 2023

Applied Sciences

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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.

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Section: Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%