Prof Vincent Aizebeoje Balogun and Paul Tarisai Mativenga   (Published 2012)

Prof Aizebeoje Balogun
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The aim of this research was to contribute towards the development of a new mathematical model and logic for predicting direct electrical energy requirements in machining toolpaths. This model will track the visibility and process dependence of energy and hence carbon footprint in machining process. This study includes a critical review of similar existing models and their limitations. The effect that machine modules, auxiliary units and machine codes have on power and energy consumption during machining was studied and the electrical current consumption measured. A mathematical model for electricalenergy use in machining was developed addressing the limitations of existing models and validated on a milling tool path. The paper provides valuable information on the impact of machine modules, spindles, auxiliary units and motion states on the electrical energy demand budget for a machine tool resource. This knowledge is fundamentally important in evaluating toolpaths and re-designing machine tools to make them more energy efficient, to reduce electricity costs and associated carbon footprints.

Item Type: Journal article(non-copyrighted)
Format: PDF document,   566.93 KB
Copyright: Creative Commons LicenseCreative Commons license
Keywords: Modelling,mechanical machining, energy
Department: Mechanical Engineering
Field of Study: Engineering- Mechanical
Uploaded By: Ikhimalo Odufa Patience
Date Added: 06 Sep 2019 9:30am
Last Modified: 06 Sep 2019
Journal URL:

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