Multi-objective optimization of tribological properties of camshaft bearing pairs using DNN coupled with NSGA-II algorithm and TOPSIS

Design/methodology/approach A lubrication model based on the theory of elastohydrodynamic lubrication and flexible multibody dynamics was developed for a V6 diesel engine. Setting DNN model as fitness function, the multi-objective optimization genetic algorithm and decision-making method were used to optimize the bearing pair structure with the goal of minimizing the total friction loss and the difference of the average values of minimum oil film thickness. Findings The results show that the lubrication state corresponding to the optimized bearing pair structure is elastohydrodynamic lubrication. Compared with the original structure, the optimized structure significantly reduces the total friction loss. Originality/value The optimized performance and corresponding structural parameters are obtained, and the optimization results were verified through multibody dynamics simulation. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2023-0417/

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  • 成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    润滑集