Selection of wire electrical discharge machining process parameters using non-traditional optimization algorithms

摘要: Selection of the optimal values different process parameters, such as pulse duration, frequency, duty factor, peak current, dielectric flow rate, wire speed, tension, effective offset electrical discharge machining (WEDM) is utmost importance for enhanced performance. The major performance measures WEDM generally include material removal cutting width (kerf), surface roughness and dimensional shift. Although mathematical techniques, like artificial neural network, gray relational analysis, simulated annealing, desirability function, Pareto optimality approach, etc. have already been applied searching out parametric combinations processes, but in most cases, sub-optimal or near-optimal solutions arrived at. In this paper, an attempt made to apply six popular population-based non-traditional optimization algorithms, i.e. genetic algorithm, particle swarm optimization, sheep flock ant colony bee biogeography-based single multi-objective two processes. these algorithms also compared it observed that algorithm outperforms others.