ON PREDICTING CHIP BREAKABILITY IN MACHINING OF STEELS WITH CARBIDE TOOL INSERTS HAVING COMPLEX CHIP GROOVE GEOMETRIES

被引:5
作者
FANG, XD
JAWAHIR, IS
机构
[1] Department of Mechanical Engineering, The University of Wollongong, Wollongong
[2] Center for Robotics and Manufacturing Systems, University of Kentucky, Lexington
关键词
D O I
10.1016/0924-0136(91)90203-Q
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a new method for precisely predicting chip breakability in machining of steels with carbide tool inserts having complex chip groove geometries. This method employs the use of a fuzzy set-based knowledge-based system which quantifies the chip breakability through a membership value, mu(x) ranging from 0 to 1. The knowledge-base established contains results of representative experiments with seven steel work materials. A wide range of cutting conditions and tool chip groove geometries are used for predicting chip breakability and the associated machinability parameters such as cutting power and surface finish which in combination forms a basis for the assessment of "total machinability" in machining.
引用
收藏
页码:37 / 47
页数:11
相关论文
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