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- Guoda Yu
- State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400030, China
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- Huaiju Liu
- State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400030, China
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- Ken Mao
- School of Engineering, The University of Warwick, Coventry CV4 7AL, UK
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- Caichao Zhu
- State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400030, China
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- Peitang Wei
- State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400030, China
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- Zehua Lu
- State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400030, China
抄録
<jats:title>Abstract</jats:title> <jats:p>The application of polymer gears in power transmission has been considered recently due to their advantages over metal gears, e.g., lighter weights and lower costs. Much further research work needs to be carried out to understand their wear mechanisms and to establish their design methods. This paper aims to investigate the wear and failure behavior of the poly-ether-ether-ketone (PEEK) gear against the steel gear under oil jet lubrication through the durability test with the standard FZG test rig. The service life and wear loss of PEEK gears were experimentally recorded under different moderate loading conditions ranging from the output torque of 10–20 Nm with a fixed input rotational speed of 1000 rpm. Moreover, the tooth surface morphologies and the wear loss of PEEK gears under different running stages were investigated. The experimental measurements reveal that there is a critical load magnitude for the transition of wear performance. With a load above 15 Nm, the PEEK gear wear rate increases rapidly, leading to a quick breakage failure, whereas the gear wear rate with a torque below 15 Nm is much lower. All tested PEEK gears finally failed with a pitting-induced tooth breakage mode under moderate loading conditions.</jats:p>
収録刊行物
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- Journal of Tribology
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Journal of Tribology 142 (4), 2020-01-13
ASME International
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キーワード
詳細情報 詳細情報について
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- CRID
- 1363107368853909632
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- ISSN
- 15288897
- 07424787
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- データソース種別
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- Crossref