Friction and Wear Performances of Materials for Wind Turbine Sliding Bearing Bushes

Author:

Chen Jun1,Min Jiahua1,Li Linjie2,Liang Xiaoyan1

Affiliation:

1. School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China

2. School of Mechanical Engineering, Xinjiang University, Urumqi 830047, China

Abstract

This study aimed to enhance the friction and wear characteristics of materials for wind turbine sliding-bearing bushes operating under low-speed and heavy-load conditions. To this end, a high-entropy CoCrFeNiMo alloy coating was applied to the surface of 9Cr18 bearing steel, and Ni-Cr-Mo-Si alloy coating was applied to MTCrMoCu30 wear-resistant cast iron using laser cladding. The effects of varying loads on the friction and wear properties of these coatings were investigated, and the friction and wear properties were compared. Furthermore, the overall priority indices for both groups of bearing bush coatings were assessed. The findings indicated that the friction coefficient, wear quality, and wear rate of CoCrFeNiMo high-entropy alloy coating initially decreased and then increased with the increase in applied load, dominated by abrasive wear. By contrast, the friction coefficient of the Ni-Cr-Mo-Si alloy coating increased, and wear quality and wear rate initially increased and then decreased, indicating the coexistence of adhesive wear and abrasive wear. Therefore, Ni-Cr-Mo-Si alloy coating exhibited a high overall priority index and favorable friction and wear properties.

Funder

the Key R&D Program of Xinjiang Province

Publisher

MDPI AG

Reference38 articles.

1. Current situation And Development Trend of Wind Power Generation;Liu;J. Northeast Electr. Power Univ.,2016

2. Analysis and optimization of power generation performance of wind turbines;Zhang;China Equip. Eng.,2021

3. Discussion on wind power generation and its technological development;Zhang;China Equip. Eng.,2022

4. A review of wind speed and wind power forecasting with deep neural networks;Wang;Appl. Energy,2021

5. Tribological challenges and advancements in wind turbine bearings, A review;Dhanola;Eng. Fail. Anal.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3