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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