Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 70, Issue 9-12, Pages 2097-2109Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00170-013-5427-6
Keywords
Multi-objective; Optimization; Response surface methodology; Non-dominated Sorting Genetic Algorithm-II; WEDM; Material removal rate; 3D surface quality
Funding
- National Natural Science Foundation of China (NSFC) [51175207, 51121002]
- National Key Technology RD Program [2012BAF13B07]
- Science and Technology Planning Project of Guangdong Province [2012B011300015]
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In the medium-speed wire electrical discharge machining (MS-WEDM) process, the extremely high temperature and massive electrical discharges in a fraction of 1 s result in the poor surface quality such as high tensile residual stresses, high surface roughness, white layers, and micro cracks. In this paper, an experimental plan for central composite design (CCD) of processing the tool steel (SKD11) has been conducted according to response surface methodology (RSM). The aim is to develop the mathematical model that can correlate the main process parameters of MS-WEDM with machining performance and to seek the optimal parameters on material removal rate (MRR) and 3D surface quality (Sq) by integrated RSM and Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Then, a set of pareto-optimal solutions is obtained. Moreover, from the confirmation experiment, it has been proved that the optimal process-parameter combinations are suitable on the MRR and the 3D surface texture. Eventually, it has also demonstrated that the method of integrated RSM and NSGA-II is an effective way for multi-objective optimization.
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