A Semi-Empirical Model for Fast Residual Gas Fraction Estimation in Gasoline Engines

2006 ◽  
Author(s):  
Amer A. Amer ◽  
Lurun Zhong
Keyword(s):  
Empirical Model ◽  
Gasoline Engines ◽  
Residual Gas Fraction ◽  
Residual Gas ◽  
Semi Empirical

A Model for On-Line Monitoring of In-Cylinder Residual Gas Fraction (RGF) and Mass Flowrate in Gasoline Engines

2006 ◽  
Author(s):  
Jing Ping Liu ◽  
Henning Kleeberg ◽  
Dean Tomazic ◽  
Joseph A. Ciaravino ◽  
Amer A. Amer
Keyword(s):  
Gasoline Engines ◽  
Mass Flowrate ◽  
On Line ◽  
Residual Gas Fraction ◽  
Residual Gas

Effect of Transient Residual Gas Fraction for Gasoline Engines

2013 ◽  
Vol 46 (21) ◽  
pp. 588-593 ◽  
Author(s):  
Kota Sata ◽  
Junichi Kako ◽  
Jun Yang ◽  
Akira Ohata ◽  
Tielong Shen
Keyword(s):  
Gasoline Engines ◽  
Residual Gas Fraction ◽  
Residual Gas

scholarly journals A Semi-Empirical Model for Predicting Frost Properties

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 412
Author(s):  
Shao-Ming Li ◽  
Kai-Shing Yang ◽  
Chi-Chuan Wang
Keyword(s):  
Thermal Conductivity ◽  
Linear Programming ◽  
Numerical Model ◽  
Empirical Model ◽  
Quantitative Method ◽  
Predictive Ability ◽  
Dimensionless Temperature ◽  
Crystal Shape ◽  
Proposed Model ◽  
Semi Empirical

In this study, a quantitative method for classifying the frost geometry is first proposed to substantiate a numerical model in predicting frost properties like density, thickness, and thermal conductivity. This method can recognize the crystal shape via linear programming of the existing map for frost morphology. By using this method, the frost conditions can be taken into account in a model to obtain the corresponding frost properties like thermal conductivity, frost thickness, and density for specific frost crystal. It is found that the developed model can predict the frost properties more accurately than the existing correlations. Specifically, the proposed model can identify the corresponding frost shape by a dimensionless temperature and the surface temperature. Moreover, by adopting the frost identification into the numerical model, the frost thickness can also be predicted satisfactorily. The proposed calculation method not only shows better predictive ability with thermal conductivities, but also gives good predictions for density and is especially accurate when the frost density is lower than 125 kg/m3. Yet, the predictive ability for frost density is improved by 24% when compared to the most accurate correlation available.

scholarly journals Extrapolability and limitations of a semi-empirical model for the simulation of volumetric expanders

2017 ◽  
Vol 129 ◽  
pp. 315-322 ◽  
Author(s):  
Olivier Dumont ◽  
Rémi Dickes ◽  
Vincent Lemort
Keyword(s):  
Empirical Model ◽  
Semi Empirical

scholarly journals Erratum: Semi-empirical model for depth dose distributions of megavoltage x-ray beams [Med. Phys. 7 , 537 (1980)]

1981 ◽  
Vol 8 (2) ◽  
pp. 251-251
Author(s):  
Sain D. Ahuja ◽  
Steven L. Stroup ◽  
Marion G. Bolin
Keyword(s):  
Empirical Model ◽  
Dose Distributions ◽  
X Ray ◽  
Depth Dose ◽  
Semi Empirical
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