Selection of the optimal electrochemical machining process parameters using biogeography-based optimization algorithm

作者: Rajarshi Mukherjee , Shankar Chakraborty

DOI: 10.1007/S00170-012-4060-0

关键词: Artificial bee colony algorithmComputationAlgorithmElectrochemical machiningProcess (computing)Genetic algorithmProcess variableMachiningEngineeringPopulation

摘要: Electrochemical machining (ECM) has become one of the most potential and useful non-traditional processes because its capability complex intricate shapes in high-strength heat-resistant materials. For effective utilization ECM process, it is often required to set different parameters at their optimal levels. Various mathematical techniques have already been proposed by past researchers determine combinations process. In this paper, an process a wire electrochemical turning are optimized using biogeography-based optimization (BBO) algorithm. Both single- multi-response models considered. The performance BBO algorithm also compared with that other population-based algorithms, e.g., genetic artificial bee colony It observed outperforms others respect values responses computation time.

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