論文

査読有り
2012年8月

Experimental implementation and analysis of robotic metal spinning with enhanced trajectory tracking algorithms

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
  • Abdullah Oezer
  • ,
  • Akio Sekiguchi
  • ,
  • Hirohiko Arai

28
4
開始ページ
539
終了ページ
550
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.rcim.2011.12.003
出版者・発行元
PERGAMON-ELSEVIER SCIENCE LTD

Metal spinning is a plastic forming process in which a disk or tube of metal is rotated at high speed and forced onto a mandrel. It is widely used in industry as an efficient, modern and economical production technique. This research proposes to develop a versatile robotic forming method and expand the application areas of robotic manufacturing processes to the metal spinning area. A lathe-type laboratory setup has been built and an industrial robot manipulator has been used to implement the metal spinning process. Experiments have been conducted with enhanced cascaded trajectory tracking algorithms with an add-on vibration suppressor. The potential of the proposed method has been illustrated with extensive case studies using both constant and variable speed trajectory profiles. Analyses for the growth of wrinkles have been performed through the topographical measurements of the products and the forming forces have been inspected. Results indicate that the efficiency of the process can be significantly improved with suitably selected variable speed trajectory profiles and the process parameters. The developed scheme successfully reduces the excessive oscillations of the manipulator during the metal spinning process and it requires no additional hardware to employ. The investigations demonstrate the feasibility of robotic metal spinning using an industrial serial link manipulator. (C) 2012 Elsevier Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.rcim.2011.12.003
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000303186100010&DestApp=WOS_CPL
URL
http://www.sciencedirect.com/science/article/pii/S0736584511001414
ID情報
  • DOI : 10.1016/j.rcim.2011.12.003
  • ISSN : 0736-5845
  • Web of Science ID : WOS:000303186100010

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