EFFECT OF CUTTING PARAMETERS ON CUTTING FORCES IN TURNING OF CPM 10V STEEL

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2021-12-01 DOI:10.24867/jpe-2021-02-005
Anđelko Aleksić, M. Sekulić, Marin Gostimirović, D. Rodić, B. Savković, A. Antić
{"title":"EFFECT OF CUTTING PARAMETERS ON CUTTING FORCES IN TURNING OF CPM 10V STEEL","authors":"Anđelko Aleksić, M. Sekulić, Marin Gostimirović, D. Rodić, B. Savković, A. Antić","doi":"10.24867/jpe-2021-02-005","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to investigate the effect of cutting parameters on cutting forces during turning of CPM 10V steel with coated cutting tool. Machining of CPM 10V steel and finding a suitable tool is very challenging due to its physical and mechanical properties, especially since the machining of this material has not been extensively researched. The experiments were carried out using an Index GU -600 CNC lathe and the cutting forces were measured in process. A three-factorial three-level experimental design was used for the experiments. Statistical method analysis of variance (ANOVA) is applied to study the effects of cutting speed, feed rate, and depth of cut on cutting forces. The results of this study show that depth of cut has the most significant effect on main force and radial force, while feed rate and cutting speed have the most significant effect on feed force. The developed model can be used in the machining industry to predict and analyze cutting parameters for optimal cutting forces.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial and Production Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24867/jpe-2021-02-005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 1

Abstract

The objective of this paper is to investigate the effect of cutting parameters on cutting forces during turning of CPM 10V steel with coated cutting tool. Machining of CPM 10V steel and finding a suitable tool is very challenging due to its physical and mechanical properties, especially since the machining of this material has not been extensively researched. The experiments were carried out using an Index GU -600 CNC lathe and the cutting forces were measured in process. A three-factorial three-level experimental design was used for the experiments. Statistical method analysis of variance (ANOVA) is applied to study the effects of cutting speed, feed rate, and depth of cut on cutting forces. The results of this study show that depth of cut has the most significant effect on main force and radial force, while feed rate and cutting speed have the most significant effect on feed force. The developed model can be used in the machining industry to predict and analyze cutting parameters for optimal cutting forces.
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
切削参数对cpm10v钢车削切削力的影响
本文的目的是研究切削参数对CPM 10V钢涂层刀具车削时切削力的影响。由于CPM 10V钢的物理和机械性能,特别是由于这种材料的加工尚未得到广泛的研究,因此加工CPM 10V钢并找到合适的刀具是非常具有挑战性的。在GU -600型数控车床上进行了实验,并测量了加工过程中的切削力。试验采用三因子三水平试验设计。采用方差分析的统计方法研究了切削速度、进给速度和切削深度对切削力的影响。研究结果表明,切削深度对主力和径向力的影响最为显著,而进给速度和切削速度对进给力的影响最为显著。所建立的模型可用于机械加工行业预测和分析切削参数以获得最优切削力。
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
7.50
自引率
6.70%
发文量
21
期刊最新文献
Workshop layout optimization method based on sparrow search algorithm: a new approach On the power and robustness of phase I nonparametric Shewhart-type charts using sequential normal scores Sustainable planning and design for eco-industrial parks using integrated multi-objective optimization and fuzzy analytic hierarchy process Analysis of the BP neural network comprehensive competitiveness evaluation model for the development evaluation of B2B E-commerce enterprises Financial management early warning model of enterprise circular economy based on chaotic particle swarm optimization algorithm
×
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