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Machining Parameters Optimization of Multi-Pass Face Milling Using a Chaotic Imperialist Competitive Algorithm with an Efficient constraint-handling Mechanism

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Computer Modeling in Engineering & Sciences 2018年第9期116卷 365-389页

作者： Yang Yang College of Engineering Huazhong Agricultural UniversityKey Laboratory of Agricultural Equipment in Mid-lower Yangtze RiverMinistry of Agriculture430070WuhanChina

The selection of machining parameters directly affects the production time,quality,cost,and other process performance measures for multi-pass *** of machining parameters is of great ***,it is a nonlinear constrained optimization problem,which is very difficult to obtain satisfactory solutions by traditional optimization methods.A new optimization technique combined chaotic operator and imperialist competitive algorithm(ICA)is proposed to solve this *** ICA simulates the competition between the *** is a population-based meta-heuristic algorithm for unconstrained optimization *** development operator based on chaotic sequence is introduced to improve the local search of ICA,while constraints handling mechanism is introduced and an imperialist-colony transformation policy is *** improved ICA is called chaotic imperialist competitive algorithm(CICA).A case study of optimizing machining parameters for multi-pass face milling operations is presented to verify the effectiveness of the proposed *** case is to optimize parameters such as speed,feed,and depth of cut in each pass have yielded a minimum total product ion *** depth of cut of optimal strategy obtained by CICA are 4 mm,3 mm,1 mm for rough cutting pass 1,rough cutting pass 1 and finish cutting pass,*** cost for each pass are$0.5366 US,$0.4473 US and$0.3738 *** optimal solution of CICA for various strategies with at=8 mm is$1.3576 *** results obtained with the proposed schemes are better than those of previous *** shows the superior performance of CICA in solving such ***,optimization of cutting strategy when the width of workpiece no smaller than the diameter of cutter is *** can be drawn that larger tool diameter and row spacing should be chosen to increase cutting efficiency.

关键词： Chaotic imperialist competitive algorithm constraint-handling mechanism multi-pass face milling machining parameters optimization cutting strategy

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