Online on-board optimization of cutting parameter for energy efficient CNC milling
Date
2016-02-19
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Department
Type
Article
ISSN
2212-8271
Format
Citation
Procedia CIRP, Volume 40, 2016, Pages 384-389
Abstract
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.
Description
Software Description
Software Language
Github
Keywords
Energy efficency, Optimization, Computer numerical control, CNC, Sustainable machining
DOI
Rights
Attribution-Non-Commercial 3.0 Unported (CC BY-NC 4.0)
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Non-Commercial — You may not use the material for commercial purposes.
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