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Development Of Correlations For Supercritical Diesel Fuels Combustion - Couverture souple

Dondapati, Raja Sekhar; Usurumarti, Preeti Rao; Kumar, Abhinav

 
9783659551857: Development Of Correlations For Supercritical Diesel Fuels Combustion

Synopsis

A novel concept of supercritical diesel fuels for clean combustion has been presented. Development of supercritical diesel fuel combustion technology needs consistent property data of fuel over a wide range of temperatures and pressures. This work is focussed on five diesel fuel surrogates such as n-heptane, n-octane, n-nonane, n-decane and toluene which have been identified as the components of real diesel fuel. Correlations for thermophysical properties such as density, heat capacity, thermal conductivity and viscosity above critical point at a constant pressure and over a wide range of temperature (TC+60K to TC+70K) have been developed. Also, the variation of such properties with respect to pressure plotted in 2-D and 3-D plots. Further, in order to ensure the accuracy of the developed correlations, different statistical parameters such as Absolute Average of Relative Error (AARE) and Sum of Average Residues (SAR) have been calculated and which shows an excellent agreement between the data obtained from REFPROP-NIST software program and the correlated properties. Combustion modelling requires such accurate correlations to predict performance and emissions.

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Présentation de l'éditeur

A novel concept of supercritical diesel fuels for clean combustion has been presented. Development of supercritical diesel fuel combustion technology needs consistent property data of fuel over a wide range of temperatures and pressures. This work is focussed on five diesel fuel surrogates such as n-heptane, n-octane, n-nonane, n-decane and toluene which have been identified as the components of real diesel fuel. Correlations for thermophysical properties such as density, heat capacity, thermal conductivity and viscosity above critical point at a constant pressure and over a wide range of temperature (TC+60K to TC+70K) have been developed. Also, the variation of such properties with respect to pressure plotted in 2-D and 3-D plots. Further, in order to ensure the accuracy of the developed correlations, different statistical parameters such as Absolute Average of Relative Error (AARE) and Sum of Average Residues (SAR) have been calculated and which shows an excellent agreement between the data obtained from REFPROP-NIST software program and the correlated properties. Combustion modelling requires such accurate correlations to predict performance and emissions.

Biographie de l'auteur

Raja Sekhar Dondpati, pursued bachelors (B.Tech) in Mechanical Engineering and Master degree (M.Tech) in Thermal Sciences and Energy Systems. His PhD work from IIT Kharagpur is based on cooling of superconducting magnets used in fusion energy applications. Published number of international journal papers. Life member of ISTE,ISME,IAENG,IACSIT,ICC.

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