OPTIMAL TOOLPATH PATTERN IDENTIFICATION FOR SINGLE ISLAND, SCULPTURED PART ROUGH MACHINING USING FUZZY PATTERN-ANALYSIS

被引:59
作者
LI, H
DONG, Z
VICKERS, GW
机构
[1] Department of Mechanical Engineering, University of Victoria, Victoria
基金
加拿大自然科学与工程研究理事会;
关键词
SCULPTURED PART MACHINING; NC TOOLPATH GENERATION; FUZZY PATTERN ANALYSIS;
D O I
10.1016/0010-4485(94)90092-2
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In the manufacture of sculptured parts from prismatic stock, rough machining dominates the machining time due to the significant shape difference between the stock and part. For the sculptured part rough machining using 2.5D milling or contour-map machining, the appropriate selection of a toolpath pattern for each cutting layer can significantly improve productivity and lead to lower production costs. In the paper, various feasible toolpath patterns are investigated. An intelligent approach for automatically identifying the most productive toolpath pattern for a given cutting layer is introduced. The study is focused on sculptured parts with a single island and no seriously nonconvex shape. The method is based on fuzzy cutting layer shape pattern clustering and recognition. An example is used to illustrate the method.
引用
收藏
页码:787 / 795
页数:9
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