An optimization paradigm based on genetic algorithms (GA) for the determination of the cutting parameters in machining operations is proposed. In metal cutting processes, cutting conditions have an influence on reducing the production cost and time and deciding the quality of a final product. In order to find optimal cutting parameters during a turning process, the genetic algorithm has been used as an optimal solution finder. Process optimization has to yield minimum production time, while considering technological and material constrains
Genetic Algorithm-based Optimization of Cutting Parameters in Turning Processes / D'Addona, DORIANA MARILENA; Teti, Roberto. - 7:(2013), pp. 323-328. (Intervento presentato al convegno CIRP Conference on Intelligent Computation in Manufacturing Engineering) [10.1016/j.procir.2013.05.055].
Genetic Algorithm-based Optimization of Cutting Parameters in Turning Processes
D'ADDONA, DORIANA MARILENA;TETI, ROBERTO
2013
Abstract
An optimization paradigm based on genetic algorithms (GA) for the determination of the cutting parameters in machining operations is proposed. In metal cutting processes, cutting conditions have an influence on reducing the production cost and time and deciding the quality of a final product. In order to find optimal cutting parameters during a turning process, the genetic algorithm has been used as an optimal solution finder. Process optimization has to yield minimum production time, while considering technological and material constrainsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
