DocumentCode
2993772
Title
A geometric method for optimal multi-cutter selection in 5-axis finish cut of sculptured surfaces
Author
Li, H.Y. ; Zhang, Y.F.
Author_Institution
Dept. of Mech. Eng., Nat. Univ. of Singapore, Singapore
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
153
Lastpage
158
Abstract
This paper presents an optimization method for multiple cutter selection in 5-axis sculptured surface finish cut. Compared to machining using a single cutter, the application of multiple cutters can shorten the cutting time. In our early work, an algorithm has been developed to select the largest feasible cutter to finish the whole of a given sculptured surface by considering gouging and collision problems. In this paper, this method is extended to select an optimal set of cutters which are utilized to finish different regions of the surface. For a given surface, the feasible cutters, that form all the possible cutter sets, are identified by calculating all cutterspsila accessibility information. The candidate cutter sets are then extracted from all possible cutter sets by keeping every cutterpsilas actual cutting region sufficiently large. Based on a proposed method for estimating the cutting time without generating the tool path, the optimal cutter set with the maximum cutting efficiency is selected. Examples are given to show the validity and robustness of the developed methods.
Keywords
cutting; cutting tools; machining; optimisation; surface finishing; 5-axis sculptured surface finish cut; geometric method; machining; multiple cutter selection; optimal multicutter selection; optimization method; sculptured surfaces; Automation; Availability; Costs; Interference; Logistics; Machining; Mechanical engineering; Milling; Process planning; Surface finishing; 5-axis milling; Multiple cutter selection; machining efficiency; sculptured surface;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636137
Filename
4636137
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