Abstract
Energy and resource efficiency is more and more a quality attribute that modern machine tools have to be oriented at. 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 contribution presents an approach towards a model based estimation and prediction of the expected consumption of energy of machining operations, which may serve as a basis for energetic optimizations. The method will be exemplarily presented by reference to a turning operation. In near future this opens up the prospect that the energy state of the machine tool may be influenced by adaptive control on the basis of expert knowledge.
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© 2012 Springer-Verlag Berlin Heidelberg
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Braun, S., Heisel, U. (2012). Simulation and Prediction of Process-Oriented Energy Consumption of Machine Tools. In: Dornfeld, D., Linke, B. (eds) Leveraging Technology for a Sustainable World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29069-5_42
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DOI: https://doi.org/10.1007/978-3-642-29069-5_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29068-8
Online ISBN: 978-3-642-29069-5
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