Optimization of Micro-Milling Process with Genetic Algorithm
As miniaturization of product becomes a trend, meso-machining technique for relevant components becomes necessary. Micro- milling with small size cutter is one of the key techniques for meso-manufacturing. When size of tool becomes small, feasible range of process parameter becomes limited. Without properly selected parameter, it could result in cost increase and quality unacceptable. Optimization of micro-milling to maximize removal rate and tool life is an important issue. This study aims at developing an optimization module using genetic algorithm for micro-milling. A milling experiment for constructing a prediction model of tool life was conducted. A computer program based on Pareto genetic algorithm was coded to search for optimized solution. A set of non-dominated solution satisfying dual objectives was obtained as the result. The solution can be used for determining milling parameter based on process interest.
N. H. Chiu and G. T. Weigh, "Optimization of Micro-Milling Process with Genetic Algorithm", Advanced Materials Research, Vols. 383-390, pp. 7111-7116, 2012