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Feature reasoning for automatic process planning in manufacturing

Jang-Ping Chen, University of Massachusetts Amherst

Abstract

Process planning may be informally described as the preparation of process instructions for manufacturing parts. A fully automated process planning system should include strategies for the representation and acquisition of product data. Features are defined to be the fundamental entities which carry form and functional information for a certain engineering application. Presently, components may be designed by various modelling systems. IGES serves as the neutral representation of the boundary information of the CAD models for feature extraction and recognition. The goal of this feature reasoning scheme is to obtain a representation which will uniquely describe a feature in an explicit and/or implicit manner. By categorizing the geometric and topological characteristics of features, one may classify form features in a generic manner. This feature classification is application independent. The classification of functional features in a certain application domain can be also generalized. The domain of interest of the present work is assembly and sheet metal operations. A graph-based feature representation is developed and divided into two levels. The mono-feature representation level is used to represent the information of a single feature. Conversely, poly-feature representation level expresses the relationships among the features of an object. The representation scheme is designed as a communication protocol for transferring product information of objects in a CIM system. Additionally, standard features are defined and represented in the database.

Subject Area

Industrial engineering

Recommended Citation

Chen, Jang-Ping, "Feature reasoning for automatic process planning in manufacturing" (1991). Doctoral Dissertations Available from Proquest. AAI9132830.
https://scholarworks.umass.edu/dissertations/AAI9132830

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