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Performance-based optimization of multi-pass face milling operations using Tribes
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DOI：10.1016/j.ijmachtools.2005.07.041.png)
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摘要
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The paper proposes a new optimization technique based on Tribes for determination of the cutting parameters in multi-pass milling operations such as plain milling and face milling by simultaneously considering multi-pass rough machining and finish machining. The optimum milling parameters are determined by minimizing the maximum production rate criterion subject to several practical technological constraints. The cutting model formulated is a nonlinear, constrained programming problem. Experimental results show that the proposed Tribes-based approach is both effective and efficient. (C) 2005 Elsevier Ltd. All rights reserved.
Keyword:
multi-pass milling operations
computer aided process planning
Tribes
local search optimization techniques
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18.8
论文数:
3.6K
被引数:
1.8W
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