A Comprehensive Evaluation Method for Generalized Reliability of CNC Machine Tools Based on Improved Entropy-Weighted Extensible Matter-Element Method

IF 1.9 4区 工程技术 Q2 Engineering International Journal of Precision Engineering and Manufacturing Pub Date : 2024-09-12 DOI:10.1007/s12541-024-01126-0
Chuanhai Chen, Guanyu Li, Zhifeng Liu, Jinyan Guo, Tongtong Jin, Jianhua Jiao, Hui Jiang
{"title":"A Comprehensive Evaluation Method for Generalized Reliability of CNC Machine Tools Based on Improved Entropy-Weighted Extensible Matter-Element Method","authors":"Chuanhai Chen, Guanyu Li, Zhifeng Liu, Jinyan Guo, Tongtong Jin, Jianhua Jiao, Hui Jiang","doi":"10.1007/s12541-024-01126-0","DOIUrl":null,"url":null,"abstract":"<p>Computerized numerical control (CNC) machine tools are typically repairable products. Reliability indicators should be combined with maintenance and availability indicators to fully reflect the level of operational reliability of the machine tools. At present, most of the methods for the comprehensive evaluation of the generalized reliability of CNC machine tools are based on a specific indicators system, the model has a strong subjectivity and can not be changed in a timely manner when the indicators change. This paper proposes a generalized reliability evaluation method for CNC machine tools based on improved entropy weight extensible matter-element model. Introducing contrast intensity and conflict intensity to consider the interrelationships between indicators to improve the entropy weighting method. Meanwhile, the grading method of the extensible matter-element model is improved to replace the scoring grading with the adaptive grading of the indicator data. This makes the methodology not only more objective and independent of the type of indicators, but also able to make timely and accurate changes when the indicators change. The method of this paper is applied to a five-axis CNC machine to conduct a generalized comprehensive reliability evaluation and compared with the traditional method. The results show that this method is more integrated and practical.</p>","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Precision Engineering and Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12541-024-01126-0","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Computerized numerical control (CNC) machine tools are typically repairable products. Reliability indicators should be combined with maintenance and availability indicators to fully reflect the level of operational reliability of the machine tools. At present, most of the methods for the comprehensive evaluation of the generalized reliability of CNC machine tools are based on a specific indicators system, the model has a strong subjectivity and can not be changed in a timely manner when the indicators change. This paper proposes a generalized reliability evaluation method for CNC machine tools based on improved entropy weight extensible matter-element model. Introducing contrast intensity and conflict intensity to consider the interrelationships between indicators to improve the entropy weighting method. Meanwhile, the grading method of the extensible matter-element model is improved to replace the scoring grading with the adaptive grading of the indicator data. This makes the methodology not only more objective and independent of the type of indicators, but also able to make timely and accurate changes when the indicators change. The method of this paper is applied to a five-axis CNC machine to conduct a generalized comprehensive reliability evaluation and compared with the traditional method. The results show that this method is more integrated and practical.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于改进的熵加权可扩展物质元素法的数控机床通用可靠性综合评价方法
计算机数控(CNC)机床是典型的可维修产品。可靠性指标应与维修性、可用性指标相结合,才能全面反映机床的运行可靠性水平。目前,对数控机床通用可靠性的综合评价方法大多基于特定的指标体系,该模型具有较强的主观性,且在指标发生变化时不能及时更改。本文提出了一种基于改进熵权可扩展物元模型的数控机床通用可靠性评价方法。引入对比强度和冲突强度,考虑指标间的相互关系,改进熵权法。同时,改进了可扩展物质元素模型的分级方法,用指标数据的自适应分级取代了打分分级。这使得该方法不仅更加客观,不受指标类型的影响,而且能够在指标发生变化时及时、准确地做出改变。本文将该方法应用于一台五轴数控机床,进行了通用综合可靠性评价,并与传统方法进行了比较。结果表明,该方法更具综合性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.10
自引率
10.50%
发文量
115
审稿时长
3-6 weeks
期刊介绍: The International Journal of Precision Engineering and Manufacturing accepts original contributions on all aspects of precision engineering and manufacturing. The journal specific focus areas include, but are not limited to: - Precision Machining Processes - Manufacturing Systems - Robotics and Automation - Machine Tools - Design and Materials - Biomechanical Engineering - Nano/Micro Technology - Rapid Prototyping and Manufacturing - Measurements and Control Surveys and reviews will also be planned in consultation with the Editorial Board.
期刊最新文献
The Impact of Contralateral Cane Placement on the External Knee Adduction Moment Piecewise Modification of Cycloidal Gear in RV Reducer: Application of Spline Interpolation Theory and Comparison with a Combination Modification Optimization Method Equivalent Error Based Modelling for Prediction and Analysis of Measuring Accuracy in 3-Axis FXYZ Coordinate Measuring Machines from Position, Repeatability and Reversibility Errors Experimental Study on Superplastic Forming for Inconel 718 Alloy Bipolar Plate A Comprehensive Evaluation Method for Generalized Reliability of CNC Machine Tools Based on Improved Entropy-Weighted Extensible Matter-Element Method
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1