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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/14285

Title: A knowledge-based system approach for recognition of machining features
Authors: Chan, A.K.W.
Case, Keith
Editors: Ko, NWM
Tan, STE
Issue Date: 1992
Publisher: Hong Kong University
Citation: CHAN, A.K.W. and CASE, K., 1992. A knowledge-based system approach for recognition of machining features. IN: Ko, N.W.M. and Tan, S.T. (eds). Proceedings of the International Conference on Manufacturing Automation, 10th-12th August 1992, Hong Kong. University of Hong Kong, pp. 334 - 342.
Abstract: This paper describes a knowledge-based system approach for recognition of machining features. Using a machining feature as a positive teaching example, the method converts the boundary information of the machining feature and the user given machining instruction automatically into a set of production rules. With the incorporation of the new rules, the system will be able to recall and apply the learnt machining instruction to other machining features that have shape pattern similar to that of the teaching example. An experimental system to implement the method is presented and the method is explained with illustrations. The method would be useful for predefining new machining features to be recognised.
Description: This conference paper is closed access.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/14285
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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