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  • 标题:Optimization Methodologies in Intelligent Machining Systems - A Review
  • 本地全文:下载
  • 作者:M. Imad ; A. Hosseini ; H.A. Kishawy
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:10
  • 页码:282-287
  • DOI:10.1016/j.ifacol.2019.10.043
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractManufacturing industries are always pressured by market demands to produce low-cost, high-quality products. Market demands tend to be complex, and full of challenges especially in fast-paced industrial settings. In order to satisfy rising demands, traditional manufacturing techniques are forced to develop and adapt new practices and methods of planning, control, and parameter optimization. The research and development of optimization methodologies have transformed traditional manufacturing methods into intelligent manufacturing techniques that are able to manufacture high quality products, at a lower cost, and a faster production rate. This work’s aim is to review and discuss recent trends and methods of optimization techniques in the emerging field of intelligent machining. The main discussion includes the application of optimization techniques in three areas: the intelligent process planning and scheduling, intelligent process control/management, and process parameter selection.
  • 关键词:Keywordsintelligent manufacturingintelligent machiningintelligent process planningintelligent process managementprocess parameters optimizationoptimization
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