| 1 |
Development of a skeletal mechanism for four-component biodiesel surrogate fuel with PAH
Bai YQ, Wang Y, Wang XC
Renewable Energy, 171, 266, 2021 |
| 2 |
A calibrated soot production model for ethylene inverse diffusion flames at different Oxygen Indexes
Demarco R, Consalvi JL, Fuentes A
Fuel, 212, 1, 2018 |
| 3 |
Semi-physical models to assess the influence of CI engine calibration parameters on NOx and soot emissions
Tauzia X, Maiboom A, Karaky H
Applied Energy, 208, 1505, 2017 |
| 4 |
Extension of the chemical percolation devolatilization model for predicting formation of tar compounds as soot precursor in coal gasification
Umemoto S, Kajitani S, Miura K, Watanabe H, Kawase M
Fuel Processing Technology, 159, 256, 2017 |
| 5 |
A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors
Adhikari S, Sayre A, Chandy AJ
Combustion Science and Technology, 188(8), 1262, 2016 |
| 6 |
Sensitivity study of engine soot forming using detailed soot modelling oriented in soot surface growth dynamic
Zhao FY, Yu WB, Su WH
Fuel, 168, 81, 2016 |
| 7 |
Interactive transient flamelet modeling for soot formation and oxidation processes in laminar non-premixed jet flames
Kim T, Kim Y
Combustion and Flame, 162(5), 1660, 2015 |
| 8 |
Experimental investigation and detailed modeling of soot aggregate formation and size distribution in laminar coflow diffusion flames of Jet A-1, a synthetic kerosene, and n-decane
Saffaripour M, Veshkini A, Kholghy M, Thomson MJ
Combustion and Flame, 161(3), 848, 2014 |
| 9 |
Aspects of 0D and 3D Modeling of Soot Formation for Diesel Engines
Pasternak M, Mauss F, Perlman C, Lehtiniemi H
Combustion Science and Technology, 186(10-11), 1517, 2014 |
| 10 |
Determination of Woody Fuel Flame Properties by Means of Emission Spectroscopy Using a Genetic Algorithm
Billaud Y, Boulet P, Pizzo Y, Parent G, Acem Z, Kaiss A, Collin A, Porterie B
Combustion Science and Technology, 185(4), 579, 2013 |
