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https://doi.org/10.1109/aim.20...
Article . 2016 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2019
Data sources: DBLP
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Motor-gearbox selection for energy efficiency

Authors: Douwe Dresscher; Theo J. A. de Vries; Stefano Stramigioli;

Motor-gearbox selection for energy efficiency

Abstract

Energy consumption of robotic systems is getting more and more attention. Previous work suggests that energy losses in the actuators of robots are a significant source of high energy consumption. A possible reason is that, so far, motor-gearbox selection methods have not focussed on energy efficiency. In this work, we present a model-based motor-gearbox selection procedure with the focus on key mechanisms of energy dissipation. Using an example, we evaluate the possible efficiency gains when selecting a motor-gearbox combination for energy efficiency. In this example, the losses are reduced by 56% to 40%. We conclude that selecting a motor-gearbox combination for energy efficiency can provide a significant improvement in the efficiency. However, the energy losses in the motor-gearbox combination remain significant.

Country
Netherlands
Related Organizations
Keywords

Energy consumption, Energy efficiency, Model-based motor-gearbox selection procedure, SDG 7 - Affordable and Clean Energy, Robotic systems

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
5
Average
Average
Average