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Online on-board Optimization of Cutting Parameter for Energy Efficient CNC Milling

Tapoglou, N., Mehnen, J., Butans, J. & Morar, N. ORCID: 0000-0001-9109-8864 (2016). Online on-board Optimization of Cutting Parameter for Energy Efficient CNC Milling. In: Seliger, G., Kohl, H. & Mallon, J. (Eds.), Procedia CIRP. 13th Global Conference on Sustainable Manufacturing - Decoupling Growth from Resource Use, 16-18 Sep 2016, Vietnam. doi: 10.1016/j.procir.2016.01.072


Energy 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.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
Publisher Keywords: Energy efficiency, Optimization, Computer numerical control (CNC), Sustainable machining
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
Departments: School of Science & Technology > Engineering
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