DocumentCode :
3373717
Title :
An algorithm for determining the optimal cutter length in 3-axis milling
Author :
Wenli Huang ; Inui, Masatoshi
Author_Institution :
Dept. of Mech. Eng., Dalian Jiaotong Univ., Dalian, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
1979
Lastpage :
1984
Abstract :
Fixed 3-axis milling has been the most popular method for the die and mold fabrication. Determining the optimal cutter length is a time consuming and critical task in process planning, especially for milling deep and complex molds for bumpers, inner panels and lighting components of automobiles. In this paper, the authors propose an inverted offset based method for automatically determining the optimal cutter length. Inverted offsetting is one of Minkowski sum operation with a solid model and an inverted shape of a milling cutter. In the 3-axis milling, the optimal cutter length can be derived by comparing two inverted offsetting results: an object from the part shape and the inverted cutter, and another object from the workpiece shape representing the prior machining result and the inverted zero length cutter. An experimental system is developed and some computational experiments are performed to confirm the practical applicability of the method.
Keywords :
automotive components; computer aided manufacturing; cutting tools; dies (machine tools); milling; moulding equipment; process planning; CAM; Minkowski sum operation; automobiles; bumpers; die fabrication; fixed 3-axis milling; inner panels; inverted offset based method; lighting components; milling cutter; mold fabrication; mold milling; optimal cutter length; process planning; Automobiles; Automotive materials; CADCAM; Computer aided manufacturing; Fabrication; Machining; Mechatronics; Milling; Process planning; Shape; CAM; Minkowski sum; cutter length; inverted offsetting; process planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246730
Filename :
5246730
Link To Document :
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