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Qianlong  Wang
Qianlong Wang
Подтвержден адрес электронной почты в домене tju.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Simultaneous soot temperature and volume fraction measurements in axis-symmetric flames by a two-dimensional modulated absorption/emission technique
G Legros, Q Wang, J Bonnety, M Kashif, C Morin, JL Consalvi, F Liu
Combustion and Flame 162 (6), 2705-2719, 2015
842015
Investigation on blending effects of gasoline fuel with n-butanol, DMF, and ethanol on the fuel consumption and harmful emissions in a GDI vehicle
H Liu, X Wang, D Zhang, F Dong, X Liu, Y Yang, H Huang, Y Wang, ...
Energies 12 (10), 1845, 2019
792019
Investigation on the ignition delay prediction model of multi-component surrogates based on back propagation (BP) neural network
Y Cui, H Liu, Q Wang, Z Zheng, H Wang, Z Yue, Z Ming, M Wen, L Feng, ...
Combustion and Flame 237, 111852, 2022
562022
Experimental characterization of the different nitrogen dilution effects on soot formation in ethylene diffusion flames
Q Wang, G Legros, J Bonnety, C Morin
Proceedings of the combustion institute 36 (2), 3227-3235, 2017
342017
Experimental assessment of the sudden-reversal of the oxygen dilution effect on soot production in coflow ethylene flames
Q Wang, G Legros, J Bonnety, C Morin, A Matynia, JL Consalvi, F Liu
Combustion and Flame 183, 242-252, 2017
312017
Effect of the stagnation plate on PAHs, soot and OH distributions in partially premixed laminar flames fueled with a blend of n-heptane and toluene
L Feng, Q Wang, H Liu, Y Cui, Z Yang, Y Wang, W Yi, M Yao
Combustion and Flame 227, 52-64, 2021
292021
Development of the ignition delay prediction model of n-butane/hydrogen mixtures based on artificial neural network
Y Cui, Q Wang, H Liu, Z Zheng, H Wang, Z Yue, M Yao
Energy and AI 2, 100033, 2020
252020
Cellular instabilities of n-butane/air flat flames probing by PLIF-OH and PLIF-CH2O laser diagnosis
L Jiang, C Gu, G Zhou, F Li, Q Wang
Experimental Thermal and Fluid Science 118, 110155, 2020
172020
Combustion characteristics of skeleton polymer reinforced paraffin-wax fuel grain for applications in hybrid rocket motors
Y Wu, Z Zhang, Q Wang, N Wang
Combustion and Flame 241, 112055, 2022
162022
Machine learning-assisted soot temperature and volume fraction fields predictions in the ethylene laminar diffusion flames
T Ren, Y Zhou, Q Wang, H Liu, Z Li, C Zhao
Optics Express 29 (2), 1678-1693, 2021
152021
Assessment of plenoptic imaging for reconstruction of 3D discrete and continuous luminous fields
H Liu, Q Wang, W Cai
JOSA A 36 (2), 149-158, 2019
142019
Optical diagnostics on the effects of reverse reactivity stratification on the flame development in dual-fuel combustion
Y Cui, Z Zheng, M Wen, Q Tang, C Geng, Q Wang, H Liu, M Yao
Fuel 287, 119500, 2021
132021
Optical measurements of temperature fields in sooting flames: influence of soot self-absorption
Q Wang, G Legros, C Morin, M Yao, W Cai, L Jiang
Applied Physics B 125, 1-11, 2019
132019
Computed tomography imaging spectrometry based on superiorization and guided image filtering
W Han, Q Wang, W Cai
Optics Letters 46 (9), 2208-2211, 2021
122021
Parametric study on single-camera endoscopic tomography
H Liu, Q Wang, W Cai
JOSA B 37 (2), 271-278, 2020
112020
Predicting fluorescence quantum yield for anisole at elevated temperatures and pressures
Q Wang, KH Tran, C Morin, J Bonnety, G Legros, P Guibert
Applied Physics B 123, 1-14, 2017
112017
Fluorescence and absorption characteristics of p-xylene: applicability for temperature measurements
Q Wang, Y Zhang, L Jiang, D Zhao, P Guibert, S Yang
Applied Physics B 123, 1-10, 2017
92017
Simultaneous soot multi-parameter fields predictions in laminar sooting flames from neural network-based flame luminosity measurement I: methodology
Q Wang, Z Li, Z Sun, H Liu, W Cai, M Yao
Optics Letters 46 (16), 3869-3872, 2021
82021
Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models
ZY Ming, HF Liu, QL Wang, ZY Yue, YQ Cui, MS Wen, MF Yao
Science China Technological Sciences 65 (4), 903-919, 2022
62022
Investigations on the effects of low temperature reforming of n-heptane/n-butanol blends on the flame development progress and combustion chemical kinetics
Y Cui, C Geng, H Liu, Z Zheng, Q Wang, M Yao
Fuel 290, 120001, 2021
62021
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