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Holistic Simulation Environment for Energy Consumption Prediction of Machine Tools

Abele, Eberhard ; Braun, Steffen ; Schraml, Philipp :
Holistic Simulation Environment for Energy Consumption Prediction of Machine Tools.
In: Procedia CIRP – The 22nd CIRP conference on Life Cycle Engineering, Published by Elsevier B.V..
[Konferenz- oder Workshop-Beitrag], (2015)

Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2015
Autor(en): Abele, Eberhard ; Braun, Steffen ; Schraml, Philipp
Titel: Holistic Simulation Environment for Energy Consumption Prediction of Machine Tools
Sprache: Englisch
Kurzbeschreibung (Abstract):

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.

Band: 29
Freie Schlagworte: Energy Efficiency; Machine Tools; Process Simulation; Machine Simulation; ECOMATION
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW)
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW) > Umweltgerechte Produktion
Veranstaltungstitel: Procedia CIRP – The 22nd CIRP conference on Life Cycle Engineering, Published by Elsevier B.V.
Hinterlegungsdatum: 14 Jul 2015 07:44
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