Tapoglou, NikolaosMehnen, JornButans, JevgenijsMorar, Nicolau Iralal2016-08-242016-08-242016-02-19Procedia CIRP, Volume 40, 2016, Pages 384-3892212-8271http://dx.doi.org/10.1016/j.procir.2016.01.072.https://dspace.lib.cranfield.ac.uk/handle/1826/10411Energy efficiency is one of the main drivers for achieving sustainable manufacturing. Advances in machine tool design have reduced the energy consumption of such equipment, but still machine tools remain one of the most energy demanding equipment in a workshop. This study presents a novel approach aimed to improve the energy efficiency of machine tools through the online optimization of cutting conditions. The study is based on an industrial CNC controller with smart algorithms optimizing the cutting parameters to reduce the overall machining time while at the same time minimizing the peak energy consumption.enAttribution-Non-Commercial 3.0 Unported (CC BY-NC 4.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.Energy efficencyOptimizationComputer numerical controlCNCSustainable machiningArticle