Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207540500444720
Title: Cutter selection for 5-axis milling of sculptured surfaces based on accessibility analysis
Authors: Li, L.L. 
Zhang, Y.F. 
Keywords: Accessible posture range
Cutter selection
Fillet-end cutter
Global-collision
Local and rear-gouging
Issue Date: 15-Aug-2006
Source: Li, L.L., Zhang, Y.F. (2006-08-15). Cutter selection for 5-axis milling of sculptured surfaces based on accessibility analysis. International Journal of Production Research 44 (16) : 3303-3323. ScholarBank@NUS Repository. https://doi.org/10.1080/00207540500444720
Abstract: Cutter selection is an important issue in process planning for 5-axis milling of sculptured surfaces. To select the optimal cutter (from a set of available ones) to machine a given sculptured surface, it is essential to check whether a cutter is able to finish the entire surface without any interference. It is, therefore, necessary to check the accessibility of a cutter at any point on the surface. In this paper, the issues involved in cutter accessibility checking at a point are studied and corresponding checking methods have been developed. A search algorithm has been developed that is able to find the accessible posture range for a given cutter in terms of the tilting and rotational angles. The constraints considered in cutter accessibility analysis include the machine's axis limit, local-gouging, rear-gouging, and global-collision. This point-based solution is then extended to cover the whole surface by discretising the surface. In order to reduce the heavy computation in the checking procedure for the whole surface, the surface is decomposed into interference-prone and interference-free regions before cutter accessibility analysis by considering the local surface geometry and the cutter's geometry. The cutter considered is a cylindrical cutter with a fillet-end. Examples are given to show the validity, efficacy and robustness of the developed methods.
Source Title: International Journal of Production Research
URI: http://scholarbank.nus.edu.sg/handle/10635/59826
ISSN: 00207543
DOI: 10.1080/00207540500444720
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