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A neural network-based methodology for machining knowledge acquisition
Authors:Leon D. Cox   Assoc.   Prof.Amjed M. Al-Ghanim PhD  David E. Culler PhD
Affiliation:

Engineering Technology and Industrial Engineering, USA

Industrial Engineering Department New Mexico State University, USA

Abstract:The paper presents results of a study on collecting machining strategies for machining assistants and process planning. These efforts are being conducted at the NMSU-Integrated Manufacturing Systems Laboratory (IMSL). Goals of the project aim at improving and advancing the solicitation, documentation, and automation of machining knowledge/data acquisition, and integration with CAD/CAM/CAE systems. This paper emphasizes the knowledge acquisition phase of the study utilizing artificial neural networks.
Keywords:
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