Predicting friction reliably and accurately in journal bearings - The importance of extensive oil-models

被引：35

作者：

Allmaier, H. ^{[1
]}

Priestner, C. ^{[1
]}

Reich, F. M. ^{[1
]}

Priebsch, H. H. ^{[1
]}

Forstner, C. ^{[2
]}

Novotny-Farkas, F. ^{[3
]}

机构：

[1] Virtual Vehicle Competence Ctr, A-8010 Graz, Austria

[2] MIBA Bearing Grp, A-4663 Laakirchen, Austria

[3] OMV Refining & Mkt GmbH, A-1220 Vienna, Austria

来源：

TRIBOLOGY INTERNATIONAL | 2012年 / 48卷

关键词：

Friction; Journal bearing; Mixed lubrication; Simulation; ASPERITY LEVEL CONFORMITY; AVERAGE FLOW MODEL; COUPLE STRESS; PARTIAL EHL; LUBRICATION; VISCOSITY;

D O I：

10.1016/j.triboint.2011.11.009

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Within the framework of an attempt to predict friction in journal bearings reliably and accurately, the impact of neglecting the hydrodynamic pressure dependence of the lubricant in the oil-model employed in the simulation is investigated. To this task calculations are carried out with two different oil-models; namely, an extensive oil-model that includes the influence of the hydrodynamic pressure on the lubricant properties, as well as the still commonly used basic oil-model that neglects this dependence. To cover full film lubrication and mixed lubrication with significant metal-metal contact, two different lubricants (SAE40, SAE10) are studied. Calculations are conducted using a validated simulation model for dynamic loads with a maximum of up to 76 MPa that exceed typical main bearing loads found in current automotive ICEs. The results for both oil-models are compared to measurements performed on a journal bearing test rig. We find that the results obtained with both oil-models agree closely with the experimental values only for full film lubrication, while solely the extensive oil-model is able to give also reliable results for the case of mixed lubrication. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：93 / 101

页数：9

共 21 条

[1] Predicting friction reliably and accurately in journal bearings-A systematic validation of simulation results with experimental measurements [J].