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Articles

Control-integrated consumption graph-based optimisation method for energy reduction of machine tools with automated parameter optimisation

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Pages 1307-1316 | Received 31 Mar 2014, Accepted 20 Feb 2015, Published online: 23 Apr 2015
 

Abstract

With the focus of industrial manufacturing on energy efficiency, machine tools offer energy-saving modes and the new controls have the potential to reach those or even switch off the machine. The switching to these energy-saving states is most commonly executed after a predefined time interval or just manually by the machine tool operator. To enable an automated and energy-optimal switching sequence of energy-minimal operating states of machine tools, a control-integrated consumption graph-based optimisation method is proposed. This uses energy prediction through a consumption graph and calculates operating state trajectories using a graph-based optimisation theory. These trajectories allow an energy-minimal spending of unproductive times. To ensure a widespread application, an automated parameter optimisation is proposed to adapt the consumption graph to the machine tool it is optimising automatically. The saving potential of the approach is demonstrated by a usage scenario from an industrial shop floor setup.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the DFG (German Research Foundation) [grant number FOR1088] in project ECOMATION.

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