同济大学机械与能源工程学院,上海,201804
网络首发:2020-10-10,
纸质出版:2020
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王安麟, 赵一鸣, 李晓田, 等. 采用代理模型的液力变矩器性能优化设计[J]. 西安交通大学学报, 2020,54(10):1-8.
An Optimi-ation Design for Performance of Hydraulic Torque Converters Based on Surrogate Model[J]. 2020, 54(10): 1-8.
王安麟, 赵一鸣, 李晓田, 等. 采用代理模型的液力变矩器性能优化设计[J]. 西安交通大学学报, 2020,54(10):1-8. DOI: 10.7652/xjtuxb202010001.
An Optimi-ation Design for Performance of Hydraulic Torque Converters Based on Surrogate Model[J]. 2020, 54(10): 1-8. DOI: 10.7652/xjtuxb202010001.
为解决液力变矩器性能与叶片形态变量间的复杂映射问题
提高设计效率与精度
提出了采用代理模型取代三维流体计算方法
并结合寻优算法对液力变矩器的性能进行优化设计的方案。首先
在标定基于CFD仿真的液力变矩器性能响应结果前提下
利用正交设计方法
获得液力变矩器性能的大自由度仿真试验数据; 然后
分别设计响应面以及神经网络2种代理模型
获取变矩器叶片角变量与其性能的映射关系
比较分析其建模效率和精度; 最后
以某型号双涡轮液力变矩器启动变矩比及低速比区最高效率最大化为设计目标
分别通过2种代理模型应用NSGA-Ⅱ算法获取优化方案。仿真结果表明:在同一试验数据下
响应面模型的建模效率较高
神经网络模型的变量设计空间外延性较好; 采用神经网络模型优化得到的液力变矩器模型与依照出厂参数设计的液力变矩器模型相比
其启动变矩比及低速比区最高效率分别提高了14.27%和10.24%
与采用响应面模型优化得到的液力变矩器模型相比分别提高了4.36%和1.53%。
An optimi-ation design for the performance of hydraulic torque converter(HTC)by using a surrogate model to replace the numerical calculation of 3D fluid field method and to combine with optimi-ation algorithm is carried out to solve the complex mapping problem between the performance of HTC and the morphological variable of blade
and to improve the design efficiency and accuracy. Firstly
it bases on the premise of calibrating the performance response of the HTC based on CFD simulation that an orthogonal design method is used to obtain simulation test data with large-degree-of-freedom for the performance of the HTC. Then
a response surface model and a neural network model are designed to construct the mapping relationship between the HTC's blade angles and their performance
and the modeling efficiency and accuracy are compared and analy-ed. Finally
a certain type of dual turbine torque converter is taken as a research object and its starting torque ratio and the maximum efficiency
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