The articulated steering system is widely used in engineering vehicles due to its high mobility and low steering radius. The design parameters have a vital impact on the selection of the steering system assemblies, such as the operation stroke, pressure, and force of the hydraulic cylinders during the steering process, which will affect the system weight. The system energy consumption is also relevant to the geometry parameters. According to the kinetic analysis of the steering system and dynamic analysis of the steering process, the kinetic model of an engineering vehicle steering system is built, and the length and pressure variation of the cylinder is calculated and validated by the field test. The influence of the factors is analyzed based on the established model. To lower the system weight, needed pressure, and force, the multi-objective particle swarm optimization method is initiated to optimize the geometry parameter of the articulated steering system. After optimization, the weight of the system is decreased by 0.61kg, and the maximum force and pressure are decreased by 9.47% and 9.54% respectively.


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    Titel :

    Analytical Modeling and Multi-Objective Optimization of the Articulated Vehicle Steering System


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Peng, Dengzhi (Autor:in) / Tan, Gangfeng (Autor:in) / Chen, Li (Autor:in)

    Kongress:

    WCX SAE World Congress Experience ; 2022



    Erscheinungsdatum :

    2022-03-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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