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Procedia Manufacturing
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Procedia Manufacturing
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Procedia Manufacturing
Article . 2017
License: CC BY NC ND
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Energy Demand Reduction in Milling Based on Component and Toolpath Orientations

Authors: Edem, Isuamfon F.; Mativenga, Paul T.;

Energy Demand Reduction in Milling Based on Component and Toolpath Orientations

Abstract

Abstract Machine tool axis motions are the key movements when milling components and hence it is vital to understand how they influence energy demand in manufacturing. In this research, a systematic study of component and toolpath orientation was undertaken for milling operations. The current and voltage demand was monitored and this allowed evaluation of electrical energy demand. The machine tool was run while executing toolpaths in air (air cutting) and then in actual pocket milling of AISI 1018 steel and the component was rotated in the x-y plane of the machine. It was shown that when machining toolpaths were aligned to the lighter axis, this reduced the feed electrical energy demand by 29%, minimised the drive dynamics, and reduced surface roughness by up to 50%. Different toolpaths were tested in machining a pocket. The most energy efficient toolpath strategy had the best surface finish. Thus there are synergies in setting and programming toolpaths allowing simultaneous reduction of energy demand and component surface roughness. The knowledge obtained in this study is vital guidance for process planners.

Country
United Kingdom
Related Organizations
Keywords

Energy efficiency, sustainable machining, toolpath orientations, toolpath strategies, machine tool vice orientations, surface finish

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
gold