摘要
煤矿井下机械装备工况恶劣,微磨粒污染严重,导致关键摩擦副严重磨损。为研究干摩擦工况下微织构摩擦副的抗磨粒污染与微磨粒输送问题,基于相似原理与离散元数值模拟软件EDEM,建立了微织构摩擦副颗粒输送模型,研究了不同频率以及振幅情况下微织构摩擦副颗粒输送的变化规律,分析了不同的颗粒直径对颗粒输送特性的影响,并研究了各因素之间的交互作用及方差分析。结果表明,振幅对微织构摩擦副颗粒输送影响不明显,低频和小颗粒输送效率更高,频率对颗粒输送的影响显著性大于颗粒半径,同时方差分析表明频率和颗粒半径的交互作用对颗粒输送影响显著,其中频率与颗粒半径交互作用对试验结果的影响占比最大达52%。研究结果可为微织构对微磨粒的输送和自清理特性研究奠定基础。
The working condition of underground mechanical equipment in coal mine is seriously bad,including micro abrasive pollution,which leads to wear of key friction pairs.In order to study the problem of anti-wear particle pollution and micro abrasive transport of micro texture friction pair under dry friction condition,based on the similarity principle and discrete element numerical simulation software EDEM,the particle transport model of micro texture friction pair was established,and the change rule of particle transport of micro texture friction pair under different frequency and amplitude was studied,and the influence of different particle diameter on particle transport characteristics was analyzed.The interaction among the factors and analysis of variance were studied.The results show that the influence of amplitude on particle transport is not obvious,and the transport efficiency of low frequency and small particles is higher,and the influence of frequency on particle transport is more significant than that of particle radius.At the same time,the analysis of variance shows that the interaction of frequency and particle radius has a significant effect on particle transport,and the interaction of frequency and particle radius accounts for 52%of the test results.The results can be used to study the transport and self-cleaning characteristics of micro abrasive particles.
作者
王传礼
薛朝文
何涛
陈国瑜
李成
WANG Chuanli;XUE Chaowen;HE Tao;CHEN Guoyu;LI Cheng(School of Mechanical Engineering, Anhui University of Science and Technology, Huainan Anhui 232001,China;Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining & Technology, Xuzhou Jiangsu 221116,China;Anhui Key Laboratory of Mine Intelligent Equipment and Technology,Anhui University of Science and Technology,Huainan Anhui 232001,China)
出处
《安徽理工大学学报(自然科学版)》
CAS
2020年第3期1-7,共7页
Journal of Anhui University of Science and Technology:Natural Science
基金
国家自然科学基金资助项目(51675003)
安徽省自然科学基金资助项目(2008085QE216)
安徽省高校自然科学研究基金资助项目(KJ2018A0078)
江苏省矿山机电装备重点实验室开放基金资助项目(JSKL-MMEE-2018-4)
安徽理工大学青年科学基金资助项目(QN2017207、QN2017219)
安徽理工大学人才引进基金资助项目。