Title of article :
A new methodology for uncertainties characterization in combustion diagnosis and thermodynamic modelling
Author/Authors :
Benajes، نويسنده , , Jesْs and Olmeda، نويسنده , , Pablo and Martيn، نويسنده , , Jaime and Carreٌo، نويسنده , , Ricardo، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
11
From page :
389
To page :
399
Abstract :
Combustion diagnosis based on in-cylinder pressure signals as well as 0D thermodynamic modelling, are widely used to study and optimize the combustion in reciprocating engines. Both approaches share some uncertainties regarding the sub-models and the experimental installation that, for the sake of accuracy, must be reduced as much as possible in order to obtain reliable results. A methodology, based on the sensitivity effect of such uncertainties on heat release and simulated pressure, is proposed to adjust their values. The methodology is capable of identifying the separate influence of each parameter and to provide a set of values thanks to the Multi-Variable linear regression (MLR) in motoring conditions. The method is flexible enough to deal with different number of uncertainties and can be applied to different engines and thermodynamic models. The final results of the adjustment are validated in combustion conditions, showing an improvement of the apparent combustion efficiency of about 7% with respect to the reference values.
Keywords :
heat transfer , heat release , Pressure modelling , Uncertainties adjustment , Combustion diagnosis , thermodynamic modelling
Journal title :
Applied Thermal Engineering
Serial Year :
2014
Journal title :
Applied Thermal Engineering
Record number :
1908012
Link To Document :
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