The continuous flow stirred tank reactor (CFSTR) model and used oil volume corrections in condition monitoring

The continuous flow stirred tank reactor model has been applied to the analyses of lubricating oil as a major contributor to the condition monitoring of i c engines. The need for a volume correction to account for the dilution effect of added, fresh, lubricant is demonstrated for the model and then...

Full description

Saved in:

Bibliographic Details
Published in:	Tribology international Vol. 30; no. 4; pp. 271 - 274
Main Authors:	Bagshaw, J.A., Fox, Malcolm F., Jones, C.J., Picken, D.James, Seare, Karl D.R.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01-04-1997 Elsevier
Subjects:	analysis Applied sciences condition monitoring Exact sciences and technology Friction, wear, lubrication Industrial metrology. Testing Machine components Mechanical engineering. Machine design used oil analysis condition monitoring used oil Lubricating oil Wear particle Modeling Monitoring Tribology
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	The continuous flow stirred tank reactor model has been applied to the analyses of lubricating oil as a major contributor to the condition monitoring of i c engines. The need for a volume correction to account for the dilution effect of added, fresh, lubricant is demonstrated for the model and then developed for two examples. It is demonstrated that application of the volume correction/dilution model allows the oil analysis data base to be transformed from relative to absolute values. The ‘absolute wear’, the ‘current wear rate’ and the ‘change in the wear rate’ can then be simply calculated at any time as a fitted, smoothed, function of the analytical parameters with sample service time, its first and second derivatives, respectively. Implications for diagnosis and prediction from the corrected data base are considered.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0301-679X 1879-2464
DOI:	10.1016/S0301-679X(96)00054-0