Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/58425
Title: Knowledge base for chip management system
Authors: Zhang, X.D.
Lee, L.C.
Seah, K.H.W. 
Issue Date: 15-Jan-1995
Source: Zhang, X.D.,Lee, L.C.,Seah, K.H.W. (1995-01-15). Knowledge base for chip management system. Journal of Materials Processing Tech. 48 (1-4) : 215-221. ScholarBank@NUS Repository.
Abstract: Chip control serves an important role in unattended machining operations. In order to achieve machining with little interruptions, the ability to predict the nature of chip breaking and chip disposal is important. This paper presents a chip classification format based on chip shape and size and also introduces a Chip Packing Density Index (CPDI) to help assess the extent of chip breaking. Extensive experiments with different chip formers, tool geometries, work materials and cutting conditions were performed in the investigation. A Fractional Factorial Analysis (FFA) was applied to the experimental results. Based on the findings, an expert system tool called NEXPERT was developed to structure a knowledge base and to predict the extent of chip breaking. © 1995.
Source Title: Journal of Materials Processing Tech.
URI: http://scholarbank.nus.edu.sg/handle/10635/58425
ISSN: 09240136
Appears in Collections:Staff Publications

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