Multi Objective Optimization of Turning Operation Parameters for Aluminium Alloy Using Grey Relational Analysis Method

Bhanodaya Kiran Babu Nadikudi
{"title":"Multi Objective Optimization of Turning Operation Parameters for Aluminium Alloy Using Grey Relational Analysis Method","authors":"Bhanodaya Kiran Babu Nadikudi","doi":"10.4028/p-p5szm8","DOIUrl":null,"url":null,"abstract":"In high strength aluminium alloy material turning operation, high material removal and good surface are desirable output characteristics. In this investigation, experiments were conducted according to design of experiments concept with a combination of turning input parameters such as cutting speed, feed rate and depth of cut and also studied the effect of process parameters on multi outputs for machining of Al2024 aluminium alloy. Grey relation analysis was applied to know the robust process parameters. The contribution each parameter was realized with analysis of variance statistical method. The cutting speed is the most influencing parameter with contribution of 62.3% followed by depth of cut with 26.4%, and feed rate with 9.9%.","PeriodicalId":18262,"journal":{"name":"Materials Science Forum","volume":" 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/p-p5szm8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In high strength aluminium alloy material turning operation, high material removal and good surface are desirable output characteristics. In this investigation, experiments were conducted according to design of experiments concept with a combination of turning input parameters such as cutting speed, feed rate and depth of cut and also studied the effect of process parameters on multi outputs for machining of Al2024 aluminium alloy. Grey relation analysis was applied to know the robust process parameters. The contribution each parameter was realized with analysis of variance statistical method. The cutting speed is the most influencing parameter with contribution of 62.3% followed by depth of cut with 26.4%, and feed rate with 9.9%.
利用灰色关系分析法对铝合金车削操作参数进行多目标优化
在高强度铝合金材料车削操作中,高材料去除率和良好的表面是理想的输出特性。在这项研究中,根据实验设计概念,结合切削速度、进给量和切削深度等车削输入参数进行了实验,并研究了加工 Al2024 铝合金时工艺参数对多输出的影响。灰色关系分析用于了解稳健的工艺参数。通过方差分析统计方法了解了各参数的贡献。切削速度是影响最大的参数,占 62.3%,其次是切削深度(26.4%)和进给量(9.9%)。
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
CiteScore
1.20
自引率
0.00%
发文量
0
×
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