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Machine Specific Energy Consumption Analysis for CNC-Milling Toolpaths

Authors: Sushrut Pavanaskar; Sara McMains;

Machine Specific Energy Consumption Analysis for CNC-Milling Toolpaths

Abstract

This paper describes our work on analyzing and modeling energy consumption in CNC machining with an emphasis on the geometric aspects of toolpaths. We address effects of geometric and other aspects of toolpaths on energy consumed in machining by providing an advanced energy consumption model for CNC machining. We performed several controlled machining experiments to isolate, identify, and analyze the effects of various aspects of toolpaths (such as path parameters, angular change, etc.) on energy consumption. Based on our analyses, we developed an analytical energy consumption model for CNC machining that, along with the commonly used input of material removal rate (MRR), incorporates the effects of geometric toolpath parameters as well as effects of machine construction when estimating energy requirements for a toolpath. We also developed a simple web-based software interface to our model, that, once customized for a particular CNC machine, provides energy requirement estimates for a toolpath given its G/M code. Such feedback can help process planners and CNC machine operators make informed choices when generating/selecting toolpath alternatives using commercial CAM software.

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selected citations
These citations are derived from selected sources.
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!
3
Average
Average
Average
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