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Holistic Simulation Environment for Energy Consumption Prediction of Machine Tools
Resource efficiency and energy consumption more and more become high-profile quality attributes of modern machine tools. The energy consumption of machine tools, plants and facilities must be significantly reduced related to the value added in order to stay competitive, but not least in liability to...
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Published in: | Procedia CIRP 2015, Vol.29, p.251-256 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Resource efficiency and energy consumption more and more become high-profile quality attributes of modern machine tools. The energy consumption of machine tools, plants and facilities must be significantly reduced related to the value added in order to stay competitive, but not least in liability towards our environment.
This article presents a model based simulation and prediction of the expected energy consumption of machine tools using a comprehensive simulation environment, which serves as a basis for energetic optimizations. The simulation system will be exemplarily presented by reference to turning and milling operations. This system is extended by adaptive control and optimization of the energy states of the machine tool through application of artificial neuronal network controller networks and additional expert knowledge data-base. |
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ISSN: | 2212-8271 2212-8271 |
DOI: | 10.1016/j.procir.2015.02.059 |