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Sustainability-Focused Multi-objective Optimization of a Turning process

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A Correction to this article was published on 21 August 2019

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Abstract

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.

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Acknowledgements

The authors gratefully acknowledge VLIR (Flemish Interuniversity Council) for the support through the project “Cleaner Production in the city of Matanzas”.

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Authors and Affiliations

  1. Study Centre on Advanced and Sustainable Manufacturing, University of Matanzas, Autopista a Varadero, km 3½, Matanzas, 44740, Cuba

    Iván La Fé Perdomo, Ramón Quiza & Marcelino Rivas

  2. Faculty of Engineering Technology, University of Leuven, Campus Group T, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium

    Dries Haeseldonckx

Authors
  1. Iván La Fé Perdomo
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  2. Ramón Quiza
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  3. Dries Haeseldonckx
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  4. Marcelino Rivas
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Correspondence to Iván La Fé Perdomo.

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La Fé Perdomo, I., Quiza, R., Haeseldonckx, D. et al. Sustainability-Focused Multi-objective Optimization of a Turning process. Int. J. of Precis. Eng. and Manuf.-Green Tech. 7, 1009–1018 (2020). https://doi.org/10.1007/s40684-019-00122-4

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  • DOI: https://doi.org/10.1007/s40684-019-00122-4

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