Title of article :
Polygon subdivision for pocket machining process planning q
Author/Authors :
Abhijeet Makhe، نويسنده , , Matthew C. Frank *، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2010
Abstract :
This paper presents a new approach to improve tool selection for arbitrary shaped pockets based on an
approximate polygon subdivision technique. The pocket is subdivided into smaller sub-polygons and
tools are selected separately for each sub-polygon. A set of tools for the entire pocket is obtained based
on both machining time and the number of tools used. In addition, the sub-polygons are sequenced to
eliminate the requirement of multiple plunging operations. In process planning for pocket machining,
selection of tool sizes and minimizing the number of plunging operations can be very important factors.
The approach presented in this paper is an improvement over previous work in its use of a polygon subdivision
strategy to improve the machining time as well as reducing the number of plunges. The implementation
of this technique suggests that using a subdivision approach can reduce machining time when
compared to solving for the entire polygonal region.
Keywords :
Fisher information matrix , Maximum likelihood estimates , Confidence bounds , Weibull distribution
Journal title :
Computers & Industrial Engineering
Journal title :
Computers & Industrial Engineering