Knowledge base for chip management system

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.