Development of strategies to reduce energy consumption in machining processes
DOI:
https://doi.org/10.63618/omd/ssjm/v1/n2/15Keywords:
energy efficiency, machining, cryogenic cooling, minimum lubrication, parameter optimizationAbstract
This article presents a systematic review of strategies to reduce energy consumption in machining processes, an energy-intensive industrial activity with high environmental impact. By means of a documentary analysis methodology, relevant studies were collected from databases such as Scopus and Web of Science, focused on the optimization of cutting parameters and cooling and lubrication technologies. It was identified that adjusting variables such as speed, feed and depth, together with optimization algorithms and adaptive control systems, can reduce energy consumption by up to 40%. In addition, it was shown that clean technologies such as minimum quantity lubrication (MQL) and cryogenic cooling reduce friction, increase tool life and improve process efficiency. It is concluded that the integration of these strategies represents a technically, economically and environmentally viable way to achieve more sustainable manufacturing.
Downloads
References
Ardila, María I., Rudas, Juan. S., Núñez, Edwin J., Rodríguez, Miguel A., Ardila, Juan G., Jiménez, Johnatan Cardona, & Isaza, Cesar. (2022). Estudio de consumos energéticos en los centros de mecanizado CNC Haas UMC-750 y Leadwell V-40iT®.. Ingeniería y competitividad, 24(2), e21211377. Epub May 26, 2022.https://doi.org/10.25100/iyc.v24i2.11377
Ariffin, A. K., Hassan, M. A., & Sulaiman, S. (2020). Adaptive control in machining of titanium alloys: A sustainable approach. International Journal of Advanced Manufacturing Technology, 107(3), 1549–1560.
Ariza, A. (2011). Perspectiva histórico espacial del consumo energético en Colombia, 1975-2007. Sociedad y Territorio, 9(18), 111–145. https://doi.org/10.18046/syt.v9i18.1075
Duc, B. N., Sato, T., & Ikeda, R. (2020). Optimization of cutting parameters for energy efficiency in milling operations. Journal of Cleaner Production, 258, 120589.
Hernández, Jean C, Pinto, Ángel D, González, Jaime A, Pérez-García, Nelson A, Torres, Juan M, & Rengel, José-Eduardo. (2017). Nuevas Estrategias para un Plan de Uso Eficiente de la Energía Eléctrica. Ciencia, docencia y tecnología, (54), 75-99. Recuperado en 09 de mayo de 2025, de https://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1851-17162017000100003&lng=es&tlng=es
Herrero Martín, J. (2006). Análisis del consumo energético del sector residencial en España y su comparación con el de la Unión Europea [Tesis de máster, Universidad Politécnica de Madrid]. E-Prints Complutense. https://oa.upm.es/2183/
Khan, A. A., Ahmad, M., Sheikh, M. A., & Sarwar, M. (2022). Energy-efficient machining of AISI 316L stainless steel under optimized cutting conditions. Journal of Cleaner Production, 372, 133654.
Li, H., He, Y., & Liu, Z. (2021). Tool wear and its effect on energy consumption in turning processes. Journal of Manufacturing Processes, 68, 247–254.
MERCADO, VERENA, & PEÑA, JOSÉ BERNARDO. (2016). Modelo de gestión de mantenimiento enfocado en la eficiencia y optimización de la energía eléctrica. Saber, 28(1), 99-105. Recuperado en 09 de mayo de 2025, de http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S1315-01622016000100010&lng=es&tlng=es
Ospina, Nelson L, Molina, William A, Simanca, Pedro L, & Díaz, Jairo Á. (2014). Machining Strategy Applied to a Small Conventional Lathe adapted to CNC. Información tecnológica, 25(4), 63-72. https://dx.doi.org/10.4067/S0718-07642014000400009
Perveen, A., Dhar, N. R., & Islam, M. W. (2021). Multi-objective optimization of turning parameters using genetic algorithms for enhanced energy efficiency. Measurement, 183, 109844.
Pusavec, F., Krajnik, P., & Kopac, J. (2020). Transitioning to sustainable production – part I: application on machining technologies. Journal of Cleaner Production, 18(2), 174–184. https://doi.org/10.1016/j.jclepro.2009.08.010
Rodríguez-Salazar, J. E., & Mercado Caruso, N. (2021). Soluciones para la mejora de la calidad del servicio de energía eléctrica en Barranquilla. Revisión de la literatura. Boletín De Innovación, Logística Y Operaciones, 3(1). https://doi.org/10.17981/bilo.3.1.2021.08
Shokrani, A., Dhokia, V., Newman, S. T., & Imani-Asrai, R. (2022). Energy consumption reduction in CNC machining: a review of strategies and practices. Journal of Manufacturing Science and Engineering, 144(3), 031010.
Sorin, D., Dobra, R., & Teodor, V. (2021). Influence of cutting parameters on energy consumption during turning processes. IOP Conference Series: Materials Science and Engineering, 1188(1), 012028.
Zhou, W., Li, X., & Wang, H. (2021). Energy-efficient machining: a review of recent technologies and future challenges. Procedia CIRP, 98, 251–256.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Soledispa-Zambrano, Jhon Espemenides, Moina-Álvarez, Bryan David, Amaguaya-Cazar, Victor Alfonso, Caisachana-León, Felix Daniel (Autor/a)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
: