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A mechanistic model of energy consumption in milling

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalInternational Journal of Production Research
Early online date20 Nov 2017
DOIs
DateAccepted/In press - 3 Nov 2017
DateE-pub ahead of print (current) - 20 Nov 2017

Abstract

In this paper, a novel mechanistic model is proposed and validated for the consumption of energy in milling processes. The milling machine is considered as a thermodynamic system. Mechanisms of the significant energy conversion processes within the system are used to construct an explicit expression for the power consumption of the machine as a function of the cutting parameters. This model has been validated experimentally and is shown to be significantly more accurate than popular existing models. A simplified form of the model is also proposed that provides a balance between complexity and accuracy. The novelty of the model is that it maps the flow of energy within a machine tool, based solely on the active mechanisms of energy conversion. As a result, only limited assumptions are made in the model, resulting in an error of less than one per cent, verified by experiments. This accurate model can be used to substantially reduce energy consumption in milling processes at machine and factory levels leading to massive cost savings and reduction of environmental impact of numerous industries. The generality of the modelling method makes it applicable to other types of machine tools with minimal adjustments.

    Research areas

  • energy efficient manufacturing, energy modelling, green manufacturing, machine tools, process modelling

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Taylor and Francis at http://www.tandfonline.com/doi/full/10.1080/00207543.2017.1404160 .Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 840 KB, PDF-document

DOI

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