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重型AT锁止阀的流量特性分析与优化
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国家自然科学基金地区科学基金项目(51965011);贵州省科技创新人才团队项目(黔科合平台人才[2020]5020);贵州省教育厅创新群体重大研究项目(黔教合KY字[2018]011);贵州省高层次创新型人才培养计划项目(黔科合平台人才[2016]5659)


Analysis and Optimization of Flow Characteristics of Lock Valve for Heavy-duty Automatic Transmission
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    摘要:

    为了提高锁止阀开启中液动力的计算效率,通过动网格技术在流体动力学软件Fluent中模拟锁止阀的阀芯开启过程,在对阀口过流面积进行数值计算的基础上,分析其流量及流量系数随阀芯位移的变化情况。使用BP神经网络对随机抽样法获得的样本数据进行训练和预测,并对预测的结果进行准确性评估。最后,以BP神经网络预测的数学模型为基础,使用遗传算法对锁止阀节流槽参数进行优化。结果表明:优化后的锁止阀开启过程中流量-开度特性更加稳定,有利于提高锁止阀的工作性能。

    Abstract:

    In order to improve the calculation efficiency of flow force during the opening of the lock valve,through the dynamic grid technology,the opening process of the valve core of the lock valve was simulated in the hydrodynamic software Fluent.Based on the numerical calculation of the overflow area of the valve port,the changes of its flow and flow coefficient with the displacement of the valve core were analyzed.BP neural network was used to train and predict the sample data obtained by random sampling method,and the accuracy of the prediction results was evaluated.Finally,based on the mathematical model predicted by BP neural network,genetic algorithm was used to optimize the throttle groove parameters of lock valve.The results show that the flow opening characteristics of the optimized lock valve are more stable during the opening process,which is conducive to improve the working performance of the lock valve.

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彭昭,吴怀超,穆俊齐,曹刚.重型AT锁止阀的流量特性分析与优化[J].机床与液压,2023,51(5):159-163.
PENG Zhao, WU Huaichao, MU Junqi, CAO Gang. Analysis and Optimization of Flow Characteristics of Lock Valve for Heavy-duty Automatic Transmission[J]. Machine Tool & Hydraulics,2023,51(5):159-163

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  • 在线发布日期: 2023-04-07
  • 出版日期: 2023-03-15