Feature-based modelling and process parameters selection in a CAPP system for prismatic micro parts

Abstract

The present work deals with feature-based modelling (FBM) and process parameters selection in a computer-aided process planning (CAPP) system for prismatic micro parts. The proposed system maps the Extensible Markup Language (XML) data from the feature-based model and produces the corresponding process parameters required for micro part manufacturing. It has two components: (1) invention of FBM and automatic extraction of manufacturing feature information and (2) selection of process parameters for the given micro features using knowledge-based system (KBS) approach. An attempt has been made to develop process parameters based on experimental investigation and optimisation using genetic algorithm (GA) apart from the information from literatures and user manuals used for database development. FBM and data extraction through XML files avoid complex feature extraction and recognition processes. The application of the proposed system was verified with the case study. The present system is intended for miniature part with micro drill and mill features. Incorporation of more micro features and consideration of various other process planning activities ensures a complete CAPP system for prismatic micro parts.

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