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  • 标题:Multi-objective Optimization of Machining Parameters in CNC End Milling of Stainless Steel 304
  • 本地全文:下载
  • 作者:Abhishek Kumbhar ; Rohit Bhosale ; Amit Modi
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:9
  • 页码:8419
  • DOI:10.15680/IJIRSET.2015.0409061
  • 出版社:S&S Publications
  • 摘要:This study investigates the optimization of CNC end milling operation parameters for stainless steel 304using Taguchi methodology and Grey Relational Analysis approach. Surface Roughness (Ra), Material Removal Rate(MRR) were selected as the quality, productivity target respectively. The experiments were conducted based onTaguchi‟s L9 orthogonal array by selecting cutting speed (mm/min), feed rate (mm/rev) and depth of cut (mm) at threelevels. The grey relational analysis was used to obtain multi objective relation between the machining parameters andperformance characteristics. Response table and graphs were used to find the optimal levels of parameters in CNC endmilling process and found to be Vc2-f1-d3. The confirmation experiments were carried out to validate the optimalresults. Thus, the machining parameters for CNC end milling were optimized for achieving the combined objectiveslike lower surface roughness and higher rate of material removal rate on Stainless Steel 304 in this work. It has beenobserved that depth of cut is most significant factor followed by feed and cutting speed.
  • 关键词:CNC end milling; Optimization; Surface roughness; Material removal rate; Grey relational analysis.
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