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  • 标题:Process parameter optimization based on principal components analysis during machining of hardened steel
  • 本地全文:下载
  • 作者:Chandgude, S. ; Chandgude, S. ; Pawar, P.
  • 期刊名称:International Journal of Industrial Engineering Computations
  • 印刷版ISSN:1923-2926
  • 电子版ISSN:1923-2934
  • 出版年度:2015
  • 卷号:6
  • 期号:3
  • 页码:379-390
  • DOI:10.5267/j.ijiec.2015.2.004
  • 语种:English
  • 出版社:Growing Science Publishing Company
  • 摘要:The optimum selection of process parameters has played an important role for improving the surface finish, minimizing tool wear, increasing material removal rate and reducing machining time of any machining process. In this paper, optimum parameters while machining AISI D2 hardened steel using solid carbide TiAlN coated end mill has been investigated. For optimization of process parameters along with multiple quality characteristics, principal components analysis method has been adopted in this work. The confirmation experiments have revealed that to improve performance of cutting; principal components analysis method would be a useful tool.
  • 关键词:AISI D2; End milling; Principal components analysis
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