组合机床与自动化加工技术2024,Issue(10) :151-154,159.DOI:10.13462/j.cnki.mmtamt.2024.10.030

基于组合赋权的镁合金铣削刀具性能灰色综合评价

Grey Comprehensive Evaluation of Magnesium Alloy Milling Tool Performance Based on Combination Weighting

周于轲 周金华 李静 刘云天 张磊先 曹强
组合机床与自动化加工技术2024,Issue(10) :151-154,159.DOI:10.13462/j.cnki.mmtamt.2024.10.030

基于组合赋权的镁合金铣削刀具性能灰色综合评价

Grey Comprehensive Evaluation of Magnesium Alloy Milling Tool Performance Based on Combination Weighting

周于轲 1周金华 2李静 1刘云天 1张磊先 1曹强1
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作者信息

  • 1. 中国空间技术研究院西安分院,西安 710000
  • 2. 西北工业大学机电学院,西安 710072
  • 折叠

摘要

镁合金铣削刀具选择是一个多指标因素综合决策问题,面向产品特性加工要求,提出了一种基于博弈论将主观赋权与客观赋权相协调的刀具性能灰色综合评价模型.首先,利用改进层次分析法AHP与熵权法进行组合赋权,降低主观因素的影响;其次,结合灰色关联度分析建立基于组合赋权的刀具性能灰色综合评价模型;最后,以某星用有源产品特征模拟结构进行试切试验,并应用评价模型对备选刀具进行评价验证.研究结果表明,在备选的3 把刀具试验中,所构建的评价模型可以有效地评价刀具性能,为实际产品加工提供刀具选用依据.

Abstract

The choice of tool in milling magnesium alloy is a comprehensive decision-making problem with multiple index factors.A grey comprehensive evaluation model for tool performance based on game theory,which coordinates subjective and objective weighting,is proposed for product features processing require-ments.In this method,it is proposed to combine improved analytic hierarchy process(AHP)and entropy weighting method to reduce the influence of subjective factors.In addition,a grey comprehensive evaluation model based on combination weighting was established by grey relation analysis.Finally,experiments of CNC milling characteristic similarity structure of an active product used in a certain satellite were carried out,and then the established evaluation model was applied to evaluate and verify the performance of alter-native cutting tools.In the three alternative cutting tool tests,the results show that grey comprehensive eval-uation can effectively evaluate tool performance and provide a basis for tool selection in actual processing.

关键词

组合赋权/灰色综合评价/镁合金/刀具选用/产品特性

Key words

combination weighting/grey comprehensive evaluation/magnesium alloy/tool selection/prod-uct features

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基金项目

国家自然科学基金项目(52075451)

出版年

2024
组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
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