Multi-criteria decision making of turning operation based on PEG, PSI and CURLI methods

IF 1.9 Q3 ENGINEERING, MANUFACTURING
D. Duc Trung
{"title":"Multi-criteria decision making of turning operation based on PEG, PSI and CURLI methods","authors":"D. Duc Trung","doi":"10.1051/mfreview/2022007","DOIUrl":null,"url":null,"abstract":"Multi-criteria decision-making (MCDM) is the methods identify an alternative that is considered the best among the implemented alternatives. This issue is probably more significant since each alternative is evaluated based on many criteria that may be contrary. This paper presents the multi-criteria decision-making of a turning process. Turning experiments were carried out with a total of sixteen alternatives. A test material used is SB410 steel. Cutting tools are coated with TiN. The aim of this study is to determine the experiment where the minimum surface roughness and the maximum material removal rate (MRR) are simultaneously obtained. Three multi-criteria decision-making methods were used include: Pareto-Edgeworth Grierson (PEG), Preference Selection Index (PSI) and Collaborative Unbiased Rank List Integration (CURLI). In each case of the application, it is not necessary to define weights for the criteria. The stability of ranking the alternatives on the basis of different MCDM methods is also identified according to the value Gini index. The results demonstrate that the PEG and CURLI methods both determine the best option. The cutting velocity of 1700 rev/min, feed rate 0.192 mm/rev and depth of cut of 0.6 mm are the options where the surface roughness and MRR are minimum and maximum respectively.","PeriodicalId":51873,"journal":{"name":"Manufacturing Review","volume":"1 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manufacturing Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/mfreview/2022007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 9

Abstract

Multi-criteria decision-making (MCDM) is the methods identify an alternative that is considered the best among the implemented alternatives. This issue is probably more significant since each alternative is evaluated based on many criteria that may be contrary. This paper presents the multi-criteria decision-making of a turning process. Turning experiments were carried out with a total of sixteen alternatives. A test material used is SB410 steel. Cutting tools are coated with TiN. The aim of this study is to determine the experiment where the minimum surface roughness and the maximum material removal rate (MRR) are simultaneously obtained. Three multi-criteria decision-making methods were used include: Pareto-Edgeworth Grierson (PEG), Preference Selection Index (PSI) and Collaborative Unbiased Rank List Integration (CURLI). In each case of the application, it is not necessary to define weights for the criteria. The stability of ranking the alternatives on the basis of different MCDM methods is also identified according to the value Gini index. The results demonstrate that the PEG and CURLI methods both determine the best option. The cutting velocity of 1700 rev/min, feed rate 0.192 mm/rev and depth of cut of 0.6 mm are the options where the surface roughness and MRR are minimum and maximum respectively.
基于PEG、PSI和CURLI方法的车削作业多准则决策
多准则决策(MCDM)是在已实现的备选方案中确定最佳备选方案的方法。这个问题可能更重要,因为每个备选方案都是根据许多可能相反的标准进行评估的。提出了车削过程的多准则决策问题。车削实验共进行了16个备选方案。试验材料为SB410钢。切削工具涂有TiN。本研究的目的是确定同时获得最小表面粗糙度和最大材料去除率(MRR)的实验。采用三种多准则决策方法:Pareto-Edgeworth Grierson (PEG)、Preference Selection Index (PSI)和Collaborative Unbiased Rank List Integration (CURLI)。在应用程序的每种情况下,都没有必要为标准定义权重。根据Gini指数的取值,确定了不同MCDM方法对备选方案排序的稳定性。结果表明,PEG和CURLI方法都确定了最佳选择。切削速度为1700转/分,进给速度为0.192毫米/分,切削深度为0.6毫米时,表面粗糙度最小,MRR最大。
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 求助全文
来源期刊
Manufacturing Review
Manufacturing Review ENGINEERING, MANUFACTURING-
CiteScore
5.40
自引率
12.00%
发文量
20
审稿时长
8 weeks
期刊介绍: The aim of the journal is to stimulate and record an international forum for disseminating knowledge on the advances, developments and applications of manufacturing engineering, technology and applied sciences with a focus on critical reviews of developments in manufacturing and emerging trends in this field. The journal intends to establish a specific focus on reviews of developments of key core topics and on the emerging technologies concerning manufacturing engineering, technology and applied sciences, the aim of which is to provide readers with rapid and easy access to definitive and authoritative knowledge and research-backed opinions on future developments. The scope includes, but is not limited to critical reviews and outstanding original research papers on the advances, developments and applications of: Materials for advanced manufacturing (Metals, Polymers, Glass, Ceramics, Composites, Nano-materials, etc.) and recycling, Material processing methods and technology (Machining, Forming/Shaping, Casting, Powder Metallurgy, Laser technology, Joining, etc.), Additive/rapid manufacturing methods and technology, Tooling and surface-engineering technology (fabrication, coating, heat treatment, etc.), Micro-manufacturing methods and technology, Nano-manufacturing methods and technology, Advanced metrology, instrumentation, quality assurance, testing and inspection, Mechatronics for manufacturing automation, Manufacturing machinery and manufacturing systems, Process chain integration and manufacturing platforms, Sustainable manufacturing and Life-cycle analysis, Industry case studies involving applications of the state-of-the-art manufacturing methods, technology and systems. Content will include invited reviews, original research articles, and invited special topic contributions.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信