基于混合搜寻法的车用涡轮增压器多目标优化
Multi-Objective Integrated Optimization of Vehicle Turbocharger Impeller Based on Hybrid Search Method
投稿时间:2017-07-30  修订日期:2018-03-22
DOI:10.11908/j.issn.0253-374x.2018.06.015     稿件编号:    中图分类号:TK427
 
摘要点击次数: 411    全文下载次数: 128
中文摘要
      选取压气机等熵效率、叶轮最大应力和最大形变为优化目标,基于ANSYS Workbench建立了涡轮增压器压气机流 热 固多物理场耦合仿真模型,利用试验设计方法中的正交矩阵法和2k(k表示试验有k个因子)法混合搜寻出压气机关键设计参数,运用径向基函数及非支配排序遗传算法解决全局寻优问题,最终获取叶轮结构设计最优方案.计算结果表明:叶轮最大形变优化效果最显著,降低28.09%,最大应力减小16.34%,压气机等熵效率提高2.83%.
英文摘要
      Different from optimization study of the single performance of turbocharger impeller, this paper takes the compressor isentropic efficiency, the impeller maximum stress, and the impeller maximum deformation as the optimization objective. Based on ANSYS Workbench, the turbocharger compressor flow thermal solid multi physics coupling simulation model was established. Using the orthogonal matrix method and the 2k method, the key design parameters of the compressor were studied. The radial basis function and non dominated sorting genetic algorithm II were applied to solve the global optimization problem. Finally, the optimal scheme of impeller structure design were obtained. The results show that the most significant decrease is the impeller maximum deformation of 28.09%, the impeller maximum stress is decreased by 16.34%, and the compressor isentropic efficiency is increased by 2.83%.
HTML   查看全文  查看/发表评论  

您是第4540343位访问者
版权所有《同济大学学报(自然科学版)》
主管单位:教育部 主办单位:同济大学
地  址: 上海市四平路1239号 邮编:200092 电话:021-65982344 E-mail: zrxb@tongji.edu.cn
本系统由北京勤云科技发展有限公司设计