用响应面法研究钛合金(Ti6Al4V)车削加工过程中的表面粗糙度

I. Daniyan, A. Adeodu, Felix Ale, Olugbenga Aderoba
{"title":"用响应面法研究钛合金(Ti6Al4V)车削加工过程中的表面粗糙度","authors":"I. Daniyan, A. Adeodu, Felix Ale, Olugbenga Aderoba","doi":"10.1109/ICMIMT59138.2023.10200627","DOIUrl":null,"url":null,"abstract":"Surface finish is a quality index and there are concerns about the machinability of titanium alloy to the required finish. In this study, the Response Surface Methodology (RSM) was employed to investigate the magnitude of the surface roughness during the turning operation of Ti6Al4V. Three process parameters were considered namely; the feed rate (0.25-0.5 mm/rev), depth of cut (0.3-0.75 mm) and the cutting speed (20-100 m/min). Taking the surface roughness as the response of the designed experiment, the results obtained indicated that the optimum range of the process which produced the least surface roughness (0.114 μm) were feed rate (0.25 mm/rev), depth of cut (0.75 mm) and cutting speed (100 m/min). In addition, the statistical analysis of the results obtained produced a predictive model for the computation of the surface roughness during Ti6Al4V turning operation. The outcome of this study may be helpful for the determination of the feasible range of process parameters during the turning operation of Ti6Al4V.","PeriodicalId":286146,"journal":{"name":"2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of Surface Roughness of Titanium Alloy (Ti6Al4V) during Turning Operation Using the Response Surface Methodology\",\"authors\":\"I. Daniyan, A. Adeodu, Felix Ale, Olugbenga Aderoba\",\"doi\":\"10.1109/ICMIMT59138.2023.10200627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Surface finish is a quality index and there are concerns about the machinability of titanium alloy to the required finish. In this study, the Response Surface Methodology (RSM) was employed to investigate the magnitude of the surface roughness during the turning operation of Ti6Al4V. Three process parameters were considered namely; the feed rate (0.25-0.5 mm/rev), depth of cut (0.3-0.75 mm) and the cutting speed (20-100 m/min). Taking the surface roughness as the response of the designed experiment, the results obtained indicated that the optimum range of the process which produced the least surface roughness (0.114 μm) were feed rate (0.25 mm/rev), depth of cut (0.75 mm) and cutting speed (100 m/min). In addition, the statistical analysis of the results obtained produced a predictive model for the computation of the surface roughness during Ti6Al4V turning operation. The outcome of this study may be helpful for the determination of the feasible range of process parameters during the turning operation of Ti6Al4V.\",\"PeriodicalId\":286146,\"journal\":{\"name\":\"2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMIMT59138.2023.10200627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIMT59138.2023.10200627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

表面光洁度是一项质量指标,人们关注的是钛合金的可加工性是否达到要求的光洁度。在本研究中,采用响应面法(RSM)研究了Ti6Al4V车削过程中表面粗糙度的大小。考虑三个工艺参数:进给量(0.25-0.5 mm/rev),切割深度(0.3-0.75 mm),切割速度(20-100 m/min)。以表面粗糙度作为设计试验的响应,结果表明,产生最小表面粗糙度(0.114 μm)的最佳工艺范围为进给量(0.25 mm/rev)、切削深度(0.75 mm)和切削速度(100 m/min)。此外,对所得结果进行统计分析,建立了Ti6Al4V车削过程中表面粗糙度计算的预测模型。研究结果有助于确定Ti6Al4V车削加工工艺参数的可行范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Investigation of Surface Roughness of Titanium Alloy (Ti6Al4V) during Turning Operation Using the Response Surface Methodology
Surface finish is a quality index and there are concerns about the machinability of titanium alloy to the required finish. In this study, the Response Surface Methodology (RSM) was employed to investigate the magnitude of the surface roughness during the turning operation of Ti6Al4V. Three process parameters were considered namely; the feed rate (0.25-0.5 mm/rev), depth of cut (0.3-0.75 mm) and the cutting speed (20-100 m/min). Taking the surface roughness as the response of the designed experiment, the results obtained indicated that the optimum range of the process which produced the least surface roughness (0.114 μm) were feed rate (0.25 mm/rev), depth of cut (0.75 mm) and cutting speed (100 m/min). In addition, the statistical analysis of the results obtained produced a predictive model for the computation of the surface roughness during Ti6Al4V turning operation. The outcome of this study may be helpful for the determination of the feasible range of process parameters during the turning operation of Ti6Al4V.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Appraisal Method for Web Interfaces Based on Aesthetic Measurement Analysis on the Industrial Applications of Flux Cored Arc Welding on an International Scale Research on the Application of Metaverse Technology in the US Army Discussion on the Difference in the Effect of Multiple Processing Methods of Vibration Signals of Hydropower Units Design of an Ovine Fiber Carding and Spinning Machine to Enhance Yarn Quality and Production in High Andean Areas of Peru
×
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