A twist beam rear suspension system is modeled, analyzed and optimized in this paper. An ADAMS model is established based on the REC (Rigid-Elastic Coupling) Theory, which is verified by FEM (Finite Element Method) approach, the effects of the geometric parameters on the twist beam suspension performance are investigated. In order to increase the calculation efficiency and improve the simulation accuracy, a neural network model and NSGA II (Non-dominated Sorting Genetic Algorithm II) are adopted to conduct a multi-objective optimization on a twist beam rear suspension system.


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    Title :

    Modeling, Analysis and Optimization of the Twist Beam Suspension System


    Additional title:

    Sae Int. J. Commer. Veh


    Contributors:
    Chen, Jiaquan (author) / Jin, Lingge (author) / Qin, Min (author) / Chang, Yin-Ping (author) / Jiang, Yongfeng (author)

    Conference:

    SAE 2015 World Congress & Exhibition ; 2015



    Publication date :

    2015-04-14


    Size :

    7 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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