GENERATIVE CAPP THROUGH PROJECTIVE FEATURE RECOGNITION

摘要

A feature is a local shape of a product directly related to the manufacturing process. In therncomputer aided process planning, information on manufacturing is essential. To get the manufacturingrnrelated information from CAD data, features should be recognized. In this paper, we thoroughlyrninvestigate the composite features, which consist of interacting simple features. The simple features inrnthe composite feature usually have precedence relations in terms of processing sequence. The compositernfeatures are directly recognized from CAD data by our proposed projective feature recognitionrnalgorithm. Once features are recognized, they are used as input for the process planning. In the processrnplanning, the number of set-up orientations is minimized while process sequence for the features arerngenerated. We propose an algorithm for process planning based on the topological sorting andrnbreadth-first search of graphs.