Full Content is available to subscribers

Subscribe/Learn More  >

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
  • 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


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



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In