中国机械工程

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基于组合赋权的机床加工工艺参数多目标综合决策方法

邓朝晖;孟慧娟;张华;万林林   

  1. 湖南科技大学难加工材料高效精密加工湖南省重点实验室,湘潭,411201
  • 出版日期:2016-11-10 发布日期:2016-11-10
  • 基金资助:
    国家高技术研究发展计划(863计划)资助项目(2014AA041504)

A Multi-objective Comprehensive Decision Method for Machine Tool Machining Process Parameters Based on Combination Weight

Deng Zhaohui;Meng Huijuan;Zhang Hua;Wan Linlin   

  1. Hunan Province Key Laboratory of High Efficiency and Precision Machining of Difficult-to-machine Material,Hunan University of Science and Technology,Xiangtan, Hunan,411201
  • Online:2016-11-10 Published:2016-11-10
  • Supported by:

摘要: 针对机床加工过程的复杂性,提出了考虑传统决策指标和资源环境属性决策指标的多目标决策方法。依据层次分析法和指标相关性的指标权重确定方法对各指标进行主客观组合赋权,采用TOPSIS设定正负理想序列,分别采用欧氏距离法和灰色关联法对各实验组(工艺参数组合)进行排序,剔除两种方法下排序差异大的方案,得到了折中的最优工艺参数。最后,以平面磨床磨削实验为例对该方法进行了论证。

关键词: 多目标决策, 组合赋权, 灰色关联法, 欧氏距离法, TOPSIS

Abstract: Considering the complexity of machining processes, a multi-objective decision method was proposed, which took the traditional decision-making factors and environmental impact target into account. The combination weight were determined by analytic hierarchy process and criteria importance through inter-criteria correlation, and the positive and negative reference sequences were set by TOPSIS. Grey correlation and Euclidean distance were used to sort each experimental group(combination of process parameters). The groups which had a significant difference under the two methods were rejected, and the compromise optimal parameters might be obtained. Finally, the method was verified by surface grinding experiments.

Key words: multi-objective decision, combination weight, grey correlation, Euclidean distance, technique for order preference by similarity to ideal solution (TOPSIS)

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