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Articles

Study on lightweight design of aluminium alloy wheels

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Pages 30-36 | Published online: 29 Jan 2019
 

ABSTRACT

As one of the most important components in vehicle safety performance, the wheel has an extremely important influence on the safety and reliability of the vehicle. The lightweight design of a wheel is realised by combining advanced computer technology with finite element method. The solid model of a wheel is established in accordance with the national standard of by Solidworks. Then, it is imported into the finite element analysis (FEA) software ANSYS to carry out strength analysis and modal analysis, in which the fatigue test requirements of the light alloy wheel and the time load required by the experimental method. The analysis results show that the maximum stress is far less in the Aluminium Alloy wheel, and the allowable stress and inherent frequency of wheel meet requirements. Therefore, it is necessary to further improvement this result. According to the FEA data, the proposed design improved the wheel. The design results show that the wheel weight decreased by 13.9%, indicating that CAE technology can help improve the wheel design, shorten the design cycle, reduce development costs and provide a theoretical reference for the design and analysis of other types of wheels.

Abbreviation: Finite element analysis(FEA)

Acknowledgements

The authors would like to acknowledge Project (No.15C1240), supported by the Scientific Research Fund of Hunan Provincial Education Department and Innovation platform open fund Project (No.16K080), supported by the Scientific Research Fund of Hunan Provincial Education Department.

Additional information

Funding

The authors would like to acknowledge Project (No.15C1240), supported by the Scientific Research Fund of Hunan Provincial Education Department and Innovation platform open fund Project (No.16K080).

Notes on contributors

Zhang Guiju

Zhang Guiju, PhD Candidate, associate professor Tel: +86−18229598077; E-mail: [email protected].

Xiao Caiyuan

Xiao Caiyuan, associate professor Tel: +86−13973579897; E-mail: [email protected].

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