| 1 |
Predicting sooting tendencies of oxygenated hydrocarbon fuels with machine learning algorithms
Gao Z, Zou XY, Huang Z, Zhu L
Fuel, 242, 438, 2019 |
| 2 |
Vision based algorithm for automated determination of smoke point of diesel blends
Rubio-Gomez G, Corral-Gomez L, Soriano JA, Gomez A, Castillo-Garcia FJ
Fuel, 235, 595, 2019 |
| 3 |
Sooting tendencies of propane jet diffusion flame under crossflow
Wang JW, Fang J, Zhao LY, Guan JF, Zhang YM, Sun JH, Hu LH
Fuel, 245, 247, 2019 |
| 4 |
A comparative study on the sooting tendencies of various 1-alkene fuels in counterflow diffusion flames
Wang Y, Park S, Sarathy SM, Chung SH
Combustion and Flame, 192, 71, 2018 |
| 5 |
Effect of C9H12 alkylbenzenes on particle formation in diffusion flames: An experimental study
Conturso M, Sirignano M, D'Anna A
Fuel, 191, 204, 2017 |
| 6 |
Evaluation of sooting tendency of acetone-butanol-ethanol (ABE) fuels blended with diesel fuel
Luo JF, Zhang YM, Zhang QX, Liu J, Wang JJ
Fuel, 209, 394, 2017 |
| 7 |
Effect of furanic biofuels on particles formation in premixed ethylene-air flames: An experimental study
Conturso M, Sirignano M, D'Anna A
Fuel, 175, 137, 2016 |
| 8 |
Analysis of the sooting propensity of C-4 and C-5 oxygenates: Comparison of sooting indexes issued from laser-based experiments and group additivity approaches
Lemaire R, Lapalme D, Seers P
Combustion and Flame, 162(9), 3140, 2015 |
| 9 |
Sooting behaviors of n-butanol and n-dodecane blends
Ghiassi H, Toth P, Lighty JS
Combustion and Flame, 161(3), 671, 2014 |
| 10 |
Group additivity in soot formation for the example of C-5 oxygenated hydrocarbon fuels
Barrientos EJ, Lapuerta M, Boehman AL
Combustion and Flame, 160(8), 1484, 2013 |
