Optimization of Process Parameters of Surface Grinding of AISI 304 Steel with Al 2O 3 Abrasive Wheel

P. K. Bardhan, Bikash Bhunia, Souvik Goswami, P. Chandra
{"title":"Optimization of Process Parameters of Surface Grinding of AISI 304 Steel with Al 2O 3 Abrasive Wheel","authors":"P. K. Bardhan, Bikash Bhunia, Souvik Goswami, P. Chandra","doi":"10.2139/ssrn.3526001","DOIUrl":null,"url":null,"abstract":"Surface topography of the machined workpiece is one of the most important criterions for the analysis of the grinding process and also has a significant influence on the fatigue behaviour of workpiece. In the present work, the experiments are carried out for optimum surface roughness and rate of material removal with variables like feed rate, speed of table and depth of cut on stainless steel material AISI 304 with the Al2O3 abrasive grinding wheel. Taguchi optimization technique is applied to optimize the process parameters to get optimum results of surface finish during grinding. The most influencing process parameters are depth of cut and table speed to optimize the MRR and surface roughness. The results reveals that optimum values of process parameters are 0.5 mm feed rate, 16 m/min table speed and depth of cut 0.02 mm to achieve the optimum surface roughness.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3526001","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

Surface topography of the machined workpiece is one of the most important criterions for the analysis of the grinding process and also has a significant influence on the fatigue behaviour of workpiece. In the present work, the experiments are carried out for optimum surface roughness and rate of material removal with variables like feed rate, speed of table and depth of cut on stainless steel material AISI 304 with the Al2O3 abrasive grinding wheel. Taguchi optimization technique is applied to optimize the process parameters to get optimum results of surface finish during grinding. The most influencing process parameters are depth of cut and table speed to optimize the MRR and surface roughness. The results reveals that optimum values of process parameters are 0.5 mm feed rate, 16 m/min table speed and depth of cut 0.02 mm to achieve the optimum surface roughness.
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
al2o3砂轮磨削AISI 304钢表面的工艺参数优化
被加工工件的表面形貌是磨削过程分析的重要指标之一,对工件的疲劳性能有重要影响。采用Al2O3磨料砂轮对不锈钢材料AISI 304进行了以进给量、工作台速度和切削深度为变量的最佳表面粗糙度和材料去除率试验。采用田口优化技术对工艺参数进行优化,得到磨削过程中表面光洁度的最佳结果。影响最大的工艺参数是切削深度和工作台速度,以优化MRR和表面粗糙度。结果表明,获得最佳表面粗糙度的最佳工艺参数为进给量0.5 mm、工作台速度16 m/min和切割深度0.02 mm。
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
自引率
0.00%
发文量
0
期刊最新文献
Creating a Methodology to Train Manufacturing SMEs: The Lift Europe Case Scenario-based Simulation for Energy Optimization in Learning Factory Environments Rod Eutectic Growth of Al-Al 3Sc in Al-2 Wt. % Sc Undercooled Melt Zinc Manganate/Manganic Oxide Bi-Component Nanorod as Excellent Cathode for Zinc-Ion Battery Designing an Improved Structure of the Tool for Repairing the Brake Pipe Connectors in Vehicles
×
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