FY17 GRC: Magnetic Gearing - Establishing Core Competency

Metadata Updated: February 28, 2019

Gears are machine components that allow speed and torque to be scaled. In spacecraft, roving vehicles, and aircraft, they are commonly used to connect a small, efficient motor to a load that requires slower speed and higher torque (e.g. a propeller, wheel, or drill). Contact between mating gear teeth causes several problems, including energy loss, noise generation, tooth wear, and tooth cracking. Lubricant is also required to reduce friction, but it tends to evaporate in low atmosphere or solidify at low temperature. This poses engineering challenges for Space systems, where gearing often needs to be protected in an atmospheric chamber.[HTML_REMOVED]It was recognized over 100 years ago that magnets could be used to prevent gear tooth contact, thereby eliminating all of the aforementioned issues.[HTML_REMOVED]Magnetic gearing technology evolved slowly, because magnets were relatively weak and their magnetic energy was not efficiently utilized. In the last 10 years, however, this technology has advanced exponentially. Although wind turbines have been the primary application, the lightest weight designs have been developed for automotive and robotic applications.[HTML_REMOVED]The overarching goal for this project is to establish competency in magnetic gearing technology for US aerospace applications.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date February 28, 2019
Metadata Updated Date February 28, 2019

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Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date February 28, 2019
Metadata Updated Date February 28, 2019
Publisher Space Technology Mission Directorate
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Maintainer Email
Public Access Level public
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Harvest Source Title NASA Data.json
Data First Published 2018-12-01
Homepage URL https://techport.nasa.gov/view/93848
License http://www.usa.gov/publicdomain/label/1.0/
Data Last Modified 2018-09-05
Program Code 026:027
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Source Hash 8074d72f070f8f457ca7d77f4b2d660a26c16cef
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