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Sustainability-Focused Multi-Objective Optimization of a Turning process
Iván La Fé Perdomo,Ramón Quiza,Dries Haeseldonckx,Marcelino Rivas 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.5
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 nonsorting 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.
Gerardo Beruvides,Ramón Quiza,Raúl del Toro,Fernando Castaño,Rodolfo E. Haber 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.
Holes quality errors are an undesired but unavoidable consequence in drilling operations. Due to the small dimensions involved inthe microdrilling processes, quality measurement and control must be carried out offline, by using microscopy or other high precisionmeasurement devices. This paper presents a study about the correlation between the holes quality and the force signals in themicrodilling process of 0.1 mm and 0.5 mm-diameter holes in a sintered tungsten-copper alloy. The surface of the obtained holes wasscanned by means of an interferometry microscope and the error of the holes was computed from the scanned data. The threecomponents of the forces were measured during all the drilling process. The behavior of these signals, in three different intervals (toolentrance, forward motion and backward motion) was described by wavelet package analysis. The features having higher correlationwith the holes quality error were the average power of the axial component of the forces in the frequency bands of 0~391 Hz and3906~4297 Hz, during the backward motion. With these features, a statistical regression model was fitted. The main outcomes of thisstudy are the basement for obtaining reliable models for monitoring systems in microdrilling operations.