Machining process parameters optimization using soft computing technique
نویسندگان
چکیده
Abstract This work introduces an approach for optimization machinability measures of power consumption, machining time, and the surface roughness (PMS). is starting with market customer’s demands, passing by optimizing (PMS), ending optimized cutting conditions. The fuzzy logic was used to define weights each required measurement using method through expert rules depending on factory requirements. Genetic algorithm formulated giving optimum output values based demands. A neural network designed controlling input conditions PMS parameters. proposed soft computing technique creates reasonable results compared experimental gives rich investigations parameters not only increasing productivity quality demands but also saving consumed. variation consumed power, calculated different customer demand levels. When time importance increased, reduced them about 20% 10% testes case.
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ژورنال
عنوان ژورنال: Journal of Engineering and Applied Science
سال: 2023
ISSN: ['2536-9512', '1110-1903']
DOI: https://doi.org/10.1186/s44147-023-00174-z