Test and Evaluation of Using Thermoelectric Technology to Monitor the Wear of the Journal Bearing of a Diesel Engine

被引:0
|
作者
Zhu, Jun [1 ]
Xie, Zhong-Qing [2 ]
Gao, Hong-liang [1 ,3 ]
Zhan, Xi-sheng [1 ,3 ]
机构
[1] Hubei Normal Univ, Electromech & Control Engn Dept, 11 Cihu Rd, Huangshi 435002, Hubei, Peoples R China
[2] Wuhan Univ Technol, Wuhan 430063, Peoples R China
[3] Hubei Normal Univ, Hubei Engn Lab Intelligent Logist Transportat Equ, 11 Cihu Rd, Huangshi 435002, Hubei, Peoples R China
关键词
journal bearing; test; thermoelectric; wear; FRICTION;
D O I
10.1520/JTE20180630
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The journal bearing is a key and vulnerable component of a large diesel engine. Once the journal bearing fails to work, it is very difficult repair. On-line monitoring of the wear of the journal bearing has always been one of the research hotspots. Firstly, the monitoring mechanism of the thermoelectric method is discussed in the article. Secondly, the structural characteristics of a 6DK20 marine medium speed diesel engine are analyzed. Thirdly, by using the thermoelectric sensor designed by the research and development team led by the author, the parameters of typical wear state with load conditions are measured. Finally, the directivity of thermoelectric signals is analyzed, and the variation law of the peak value of thermoelectric signals is researched corresponding to the ignition point of time of the diesel engine under typical wear states with load conditions. The results show that the thermoelectric signals reflect the wear and running state of journal bearings and have good directivity and transient feature. Therefore, it has great research value and application value to the evaluation of the wear and failure of journal bearings by thermoelectric technology.
引用
收藏
页码:2051 / 2064
页数:14
相关论文
共 50 条
  • [31] Evaluation of carcinogenic hazard of diesel engine exhaust needs to consider revolutionary changes in diesel technology
    McClellan, Roger O.
    Hesterberg, Thomas W.
    Wall, John C.
    REGULATORY TOXICOLOGY AND PHARMACOLOGY, 2012, 63 (02) : 225 - 258
  • [32] PREDICTING BEARING WEAR AND CORRELATION WITH THE PETTER W1 L ENGINE TEST
    GOUJON, G
    ABELLANEDA, G
    DESVARD, A
    HIPEAUX, JC
    REVUE DE L INSTITUT FRANCAIS DU PETROLE, 1994, 49 (03): : 300 - 306
  • [33] Evaluation of diesel engine wear condition based on fuzzy C-mean algorithm
    Zhao, Xuehong
    Zhang, Laibin
    Fan, Jianchun
    Run Hua Yu Mi Feng/Lubrication Engineering, 2005, (02): : 23 - 25
  • [34] STUDY OF CAVITATION AND WEAR DAMAGES IN CONROD BIG END BEARING OF A HEAVY DUTY DIESEL ENGINE BY USING ELASTO-HYDRODYNAMIC METHOD
    Karimaei, Hadiseh
    Chamani, Hamidreza
    ASME INTERNAL COMBUSTION ENGINE DIVISION FALL TECHNICAL CONFERENCE 2009, PROCEEDINGS, 2010, : 553 - 565
  • [35] A rig test to measure friction and wear of heavy duty diesel engine piston rings and cylinder liners using realistic lubricants
    Truhan, JJ
    Qu, J
    Blau, PJ
    TRIBOLOGY INTERNATIONAL, 2005, 38 (03) : 211 - 218
  • [36] Promising results with YXY Diesel components in an ESC test cycle using a PACCAR Diesel engine
    de Jong, Ed
    Vijlbrief, Thomas
    Hijkoop, Rene
    Gruter, Gert-Jan M.
    van der Waal, Jan C.
    BIOMASS & BIOENERGY, 2012, 36 : 151 - 159
  • [37] Exhaust heat harvesting of automotive engine using thermoelectric generation technology
    Asaduzzaman, Md.
    Ali, Md Hasan
    Pratik, Nahyan Ahnaf
    Lubaba, Nafisa
    ENERGY CONVERSION AND MANAGEMENT-X, 2023, 19
  • [38] Coupling characteristics of mixed thermal elastohydrodynamic lubrication and wear for main bearing of low-speed diesel engine
    Chen, Rui
    Zhao, Bin
    Tu, Li-Yue
    He, Tao
    Zhong, Ning
    Zou, De-Quan
    Chuan Bo Li Xue/Journal of Ship Mechanics, 2024, 28 (11): : 1768 - 1779
  • [39] Experimental Investigation in Performance Evaluation of Nano Additives Diesel Blend using Diesel Engine
    Selvanayagam B.F.
    Palani S.
    Gopi P.
    Parthiban G.
    Siranjeevi R.
    Jeyahar P.S.
    International Journal of Vehicle Structures and Systems, 2023, 15 (01) : 116 - 121
  • [40] Evaluation Method of Friction and Wear Performance of Heavy Load Bearing Grease Using SRV Test Machine
    Zhao Q.
    Jiang C.
    Su H.
    Lou W.
    Zhang R.
    Wang X.
    Mocaxue Xuebao/Tribology, 44 (02): : 242 - 253