In order to solve the problem caused by the separated step optimization for the design of the mechanism variables of torque converter
the significance of mechanism variables interaction was studied. Firstly
the accuracy of three dimensional fluid simulation results was confirmed in comparison with the bench test data. Secondly
starting torque ratio
highest efficiency and pump wheel torque coefficient at the transmission ratio of highest efficiency were obtained through full flow passages simulation based on the orthogonal experiments
and the significance of mechanism variables interaction was discussed through analysis of variance. Finally
the ternary quintic response surface model was established and optimized by using multi-objective genetic algorithm. The experiment results showed that mechani
sm variables interaction significantly affected torque converter performance and after optimization using the integrated optimization method of mechanism variables
starting torque ratio increased by 0.336
highest efficiency increased by 2.1%
and pump wheel torque coefficient at the transmission ratio of highest efficiency increased by 0.306×10
-6
min
2
·r
-2
·m
-1
.
关键词
Keywords
references
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