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A model- and signal-based power consumption monitoring concept for energetic optimization of machine tools

Eberspächer, Philipp and Schraml, Philipp and Schlechtendahl, Jan and Verl, Alexander and Abele, Eberhard (2014):
A model- and signal-based power consumption monitoring concept for energetic optimization of machine tools.
In: 21st CIRP Conference on Life Cycle Engineering in Trondheim, Norway, 18-20 June 2014, [Conference or Workshop Item]

Abstract

As energy consumption is one of the main drivers for production and operational cost of a product, it is necessary to make operators of manufacturing units and machine tools aware of the current power consumption of their operating equipment. However, it is not sufficient to provide the current overall power consumption but to give different levels of detail. This paper presents an approach to combine power measurements, control signals and information with consumption simulation models to provide the operators with highly detailed power consumption data and how it is distributed over the components of their machine tools. An implementation of the monitoring approach on a HSC milling machine is presented in detail, followed by an overview of its use for energetic optimization.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Eberspächer, Philipp and Schraml, Philipp and Schlechtendahl, Jan and Verl, Alexander and Abele, Eberhard
Title: A model- and signal-based power consumption monitoring concept for energetic optimization of machine tools
Language: English
Abstract:

As energy consumption is one of the main drivers for production and operational cost of a product, it is necessary to make operators of manufacturing units and machine tools aware of the current power consumption of their operating equipment. However, it is not sufficient to provide the current overall power consumption but to give different levels of detail. This paper presents an approach to combine power measurements, control signals and information with consumption simulation models to provide the operators with highly detailed power consumption data and how it is distributed over the components of their machine tools. An implementation of the monitoring approach on a HSC milling machine is presented in detail, followed by an overview of its use for energetic optimization.

Uncontrolled Keywords: energy efficiency; consumption modeling; energy monitor; ECOMATION; energy optimization; machine tools
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > Sustainable Production (new name since 01.07.2018 ETA Energy Technologies and Applications in Production)
Event Title: 21st CIRP Conference on Life Cycle Engineering in Trondheim, Norway, 18-20 June 2014
Date Deposited: 01 Sep 2014 14:36
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