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A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning

[+] Author Affiliations
Arivazhagan Anbalagan, Sheng Wang, Li Weidong

Coventry University, Coventry, West Midlands, UK

Paper No. MSEC2014-4088, pp. V001T04A024; 10 pages
doi:10.1115/MSEC2014-4088
From:
  • ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
  • Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
  • Detroit, Michigan, USA, June 9–13, 2014
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4580-6
  • Copyright © 2014 by ASME

abstract

This paper presents a Cloud Based Feature Recognition Module (CB-FRM) developed to support Collaborative and Adaptive Process Planning for Sustainable Manufacturing Environments. In the work, the CB-FRM is developed for a Cloud-based environment and based on an innovative ‘pattern-strings’ feature recognition concept. The Cloud system is designed in a light client and heavy server architecture, where the ‘pattern-strings’-based feature recognition approach is developed and deployed. Through recognized ‘pattern-strings’, the feature recognition process is able to extract the complete information of features with its location in the plane. The detailed information of the features is then shared in a developed Cloud environment for the downstream process planning activities. The implementation aspect is explained with the help of a sample industrial part by emphasizing the importance of Cloud manufacturing environment with process planning activities.

Copyright © 2014 by ASME

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