Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Single zone heat release models can effectively be used to model diesel engine combustion process with acceptable degree of accuracy. These models are mainly depend on double Wiebe function which requires as many as six parameters in order to predict the heat release rate (HRR) accurately. However, Wiebe function does not look into the physical air fuel mixing process during the ignition delay (ID) which makes their predictions far from understanding the relation between the HRR and the physical interaction between air and fuel prior to combustion. Whitehouse and Way model covers the physical process since it deals with the mass of fuel injected and the partial pressure of oxygen in which the reaction rate is computed by an Arrhenius type expression. In this work, a strong relationship between HRR and air mass entrained during the ID has been shown. A new single zone heat release model based on Whitehouse and Way model for diesel engine has been developed in order to predict the HRR using standard diesel fuel. The new model has shown to give good results compared to experimental data.
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A. Abed. 2014. \u201cDevelopment a Single Zone Heat Release Model\u201d. Global Journal of Research in Engineering - B: Automotive Engineering GJRE-B Volume 14 (GJRE Volume 14 Issue B4): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 124
Country: Kuwait
Subject: Global Journal of Research in Engineering - B: Automotive Engineering
Authors: J. Alrajhi, M. Alardhi1, A. Abed, K. Alkhulaifi (PhD/Dr. count: 0)
View Count (all-time): 245
Total Views (Real + Logic): 4564
Total Downloads (simulated): 2239
Publish Date: 2014 12, Mon
Monthly Totals (Real + Logic):
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