A CLOUD BASED FEATURE RECOGNITION SYSTEM TO SUPPORT COLLABORATIVE AND ADAPTIVE PROCESS PLANNING

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.