| 高速干切滚齿工艺参数的多目标优化与决策方法 |
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| 引用本文： | 倪恒欣,阎春平,陈建霖,侯跃辉,陈亮.高速干切滚齿工艺参数的多目标优化与决策方法[J].中国机械工程,2021,32(7):832-838. |
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| 作者姓名： | 倪恒欣 阎春平 陈建霖 侯跃辉 陈亮 |
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| 作者单位： | 重庆大学机械传动国家重点实验室，重庆，400044 |
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| 基金项目： | 国家重点研发计划（2020YFE0201000） |
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| 摘 要： | 为降低高速干切滚齿加工能耗、提高滚齿加工质量,提出一种基于改进多目标灰狼优化(MOGWO)算法和逼近理想解排序法(TOPSIS)的高速干切滚齿工艺参数多目标优化与决策方法.分析了滚齿工艺参数,将切削参数和滚刀参数作为优化变量,构建了面向最小加工能耗和最优加工质量的多目标优化模型,采用改进MOGWO算法对所建的模型进行迭...
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| 关 键 词： | 高速干切滚齿 工艺参数 多目标优化 灰狼优化算法 逼近理想解排序法 |
Multi-objective Optimization and Decision-making Method of High Speed Dry Gear Hobbing Processing Parameters |
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| NI Hengxin,YAN Chunping,CHEN Jianlin,HOU Yuehui,CHEN Liang.Multi-objective Optimization and Decision-making Method of High Speed Dry Gear Hobbing Processing Parameters[J].China Mechanical Engineering,2021,32(7):832-838. |
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| Authors: | NI Hengxin YAN Chunping CHEN Jianlin HOU Yuehui CHEN Liang |
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| Affiliation: | State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing,400044 |
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| Abstract: | To reduce energy consumption and improve gear hobbing quality, a multi-objective optimization and decision-making method of high-speed dry gear hobbing processing parameters was proposed based on improved multi-objective grey wolf optimization(MOGWO) algorithm and TOPSIS. The gear hobbing processing parameters were analyzed, and cutting parameters and hob parameters were taken as optimization variables. A multi-objective optimization model for minimum energy consumption and optimal gear hobbing quality was established. The improved MOGWO algorithm was used to optimize the model iteratively, and TOPSIS was subsequently utilized to make multi-attribute decision on the optimized processing parameters. Effectiveness of the proposed method was verified by experimental results. |
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| Keywords: | high speed dry gear hobbing processing parameter multi-objective optimization grey wolf optimization algorithm technique for order preference by similarity to an ideal solution(TOPSIS) |
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