基于多目标优化的液力变矩器叶形角度设计

发布时间：2018-04-28 16:44

本文选题：液力变矩器 + 多目标优化　；参考：《华中科技大学学报(自然科学版)》2017年09期

【摘要】：为解决液力变矩器性能优化过程中单一目标优化不能满足实际需求的问题,首先利用一维束流理论对该型号液力变矩器进行特性计算,计算结果与试验结果较为一致.在此基础上,以最高效率、起动变矩比和最大泵轮扭矩系数为目标建立多目标优化模型.利用Matlab与ISIGHT的集成优化,组成以一维束流计算程序为核心的解算器,以叶片入出口角为优化参数,采用变导轮和定导轮两种优化方案,并利用基于存档的小种群遗传算法(AMGA)对该液力变矩器的性能进行优化,获取多目标优化下的非劣解.结果表明:优化后的液力变矩器性能比原型有所提高,同时也可以满足不同应用条件下车辆液力变矩器的性能要求,验证了这种方法的有效性.
[Abstract]:In order to solve the problem that the single objective optimization of torque converter can not meet the practical requirements, the characteristics of the hydraulic torque converter are calculated by using the one-dimensional beam theory, and the calculated results are in good agreement with the experimental results. On this basis, a multi-objective optimization model is established with the objectives of maximum efficiency, starting torque ratio and maximum pump wheel torque coefficient. By using the integrated optimization of Matlab and ISIGHT, a solver with one dimensional beam calculation program as the core and the blade inlet and outlet angle as the optimization parameters, two optimization schemes of variable guide wheel and fixed guide wheel are adopted. The performance of the torque converter is optimized by using the archival small population genetic algorithm (AMGA) to obtain the non-inferior solution under multi-objective optimization. The results show that the performance of the optimized torque converter is better than that of the prototype, and it can also meet the performance requirements of the vehicle torque converter under different application conditions. The effectiveness of this method is verified.
【作者单位】：北京理工大学机械与车辆学院;北京市电动车协同创新中心;
【基金】：国家自然科学基金资助项目(51475041) 国防科工局基础产品创新科研基金资助项目(VTDP-2104) 北京理工大学国际科技合作专项资助项目(GZ2017035104)
【分类号】：TH137.332

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