Sustainability-Focused Multi-objective Optimization of a Turning process

Autor: Marcelino Rivas, Dries Haeseldonckx, Ramón Quiza, Iván La Fé Perdomo
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Precision Engineering and Manufacturing-Green Technology. 7:1009-1018
ISSN: 2198-0810
2288-6206
Popis: Using optimized cutting parameters can represent a key contribution for obtaining sustainable machining processes. This study presents the multi-objective optimization of the multi-passes cylindrical turning, where conflicting goals are simultaneously considered: economic, environmental and social sustainability. The first costs. The environmental impact was taking into account through the carbon dioxide emission. Finally, the key issue in the social sustainability was the operational safety. Also, the constraints resulting from the technical aspects of the turning process were also considered. From the decision-making point of view, an a posteriori approach was used, where the optimization process, which gives a Pareto front, is followed by the selection of the most convenient solution, depending on the specific workshop conditions. The non-sorting genetic algorithm (NSGA-II) was used as optimization heuristic. The main contribution of the paper is the use of a tridimensional Pareto front for selecting the best cutting conditions, by considering the three pillars of the sustainability.
Databáze: OpenAIRE
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