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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Anbalagan, Arivazhagan Wang, Sheng Weidong, Li |
| Copyright Year | 2014 |
| 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. |
| Sponsorship | Manufacturing Engineering Division |
| File Format | |
| ISBN | 9780791845806 |
| DOI | 10.1115/MSEC2014-4088 |
| Volume Number | Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing |
| Conference Proceedings | 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 |
| Language | English |
| Publisher Date | 2014-06-09 |
| Publisher Place | Detroit, Michigan, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Manufacturing String Production planning Sustainability |
| Content Type | Text |
| Resource Type | Article |
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