Anomalous Fractures of Diesel Engine Bearing Cap Bolts

1970 ◽  
Author(s):  
G. H. Walter ◽  
R. M. Hendrickson ◽  
R. D. Zipp
2013 ◽  
Vol 331 ◽  
pp. 148-152
Author(s):  
Xiu Xu Zhao ◽  
Zhi Xiang Hu ◽  
An Jian Huang

According to the characteristics of large size, small clearance ratio, high oil film pressure and thin oil film thickness in the actual conditions of high power marine diesel engine bearing, this Paper analyzes oil film pressure distribution on inner surface of bearing bush based on the finite difference method, uses finite element method to establish the hierarchical model, and analyzes stress and strain distribution on bearing alloy. In addition, this Paper researches the changes of stress and strain distribution on bearing alloy layer when alloy layer thickness changes for the optimization design of high power marine diesel engine bearing bush.


2008 ◽  
Vol 32 (5) ◽  
pp. 402-410 ◽  
Author(s):  
Jae-Ok Lee ◽  
Young-Shin Lee ◽  
Hyun-Seung Lee ◽  
Jae-Hoon Kim ◽  
Joon-Tak Jun ◽  
...  

2012 ◽  
Vol 479-481 ◽  
pp. 986-989
Author(s):  
Wen Li ◽  
Ri Dong Liao ◽  
Zheng Xing Zuo

Fretting fatigue becomes a typical failure mode for engine cylinder block caused by the increasing of the gas pressure and rotating speed, but the mechanism of fretting fatigue under diesel engine load condition hasn’t been systematic studied. In this paper, the fretting behaviors are mainly discussed by using fretting friction work parameter W and crack initiation location parameter G.


2005 ◽  
Vol 12 (2) ◽  
pp. 273-286 ◽  
Author(s):  
J.L.A. Ferreira ◽  
A.B.de S. Oliveira ◽  
A.B. Souza ◽  
V.G. Carloni ◽  
D.A. Leite

2012 ◽  
Vol 472-475 ◽  
pp. 1702-1706 ◽  
Author(s):  
Jun Zhu ◽  
Jian Guo Yang

This paper reviews the monitoring diagnostic methods for the sliding main engine bearing wear. Those methods by oil, temperature, vibration, strain and other surveillance means are in more engineering applications. Moreover, this paper expounds a kind of new diagnostic method for main bearing wear monitoring - the thermoelectric power monitoring method.


2016 ◽  
Vol 9 (3) ◽  
pp. 1847-1853 ◽  
Author(s):  
Kenji Sato ◽  
Takeru Hamakawa ◽  
Takeyuki Yamasaki ◽  
Yoshimichi Ishihara ◽  
Hisashi Hashimoto ◽  
...  

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