Abstract
The quest for completely automated process planning systems has exposed the lack of techniques capable of automatically understanding the stored CAD models in a manner suitable for process planning. Most current generations of process planning systems have used the ability of humans to translate the part drawing requirements into a form suitable for computer aided process planing. Recently, research advances have been made to improve the understanding of computer stored 3-D part models. The two approaches used are feature recognition and feature based design. This paper presents a state of the art review of feature recognition techniques developed and presents feature based design as an alternative. Process planning systems developed using both approaches are presented.
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Joshi, S., Chang, TC. Feature extraction and feature based design approaches in the development of design interface for process planning. J Intell Manuf 1, 1–15 (1990). https://doi.org/10.1007/BF01471338
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DOI: https://doi.org/10.1007/BF01471338