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Cheng Chi (池成)
Cheng Chi (池成)
University of Magdeburg "Otto von Guericke"/ Max-planck-institute Magdeburg/ KAUST
Verified email at kaust.edu.sa
Title
Cited by
Cited by
Year
On-the-fly artificial neural network for chemical kinetics in direct numerical simulations of premixed combustion
C Chi, G Janiga, D Thévenin
Combustion and Flame 226, 467-477, 2021
472021
An improved ghost‐cell immersed boundary method for compressible flow simulations
C Chi, BJ Lee, HG Im
International Journal for Numerical Methods in Fluids 83 (2), 132-148, 2017
452017
A directional ghost-cell immersed boundary method for incompressible flows
C Chi, A Abdelsamie, D Thévenin
Journal of Computational Physics 404, 109122, 2020
412020
DNS study of the optimal heat release rate marker in premixed methane flames
C Chi, G Janiga, K Zähringer, D Thévenin
Proceedings of the Combustion Institute 37 (2), 2363-2371, 2019
222019
DNS study of the optimal chemical markers for heat release in syngas flames
C Chi, G Janiga, A Abdelsamie, K Zähringer, T Turányi, D Thévenin
Flow, Turbulence and Combustion 98, 1117-1132, 2017
222017
Direct numerical simulations of hotspot-induced ignition in homogeneous hydrogen-air pre-mixtures and ignition spot tracking
C Chi, A Abdelsamie, D Thévenin
Flow, turbulence and combustion 101, 103-121, 2018
172018
Direct numerical simulation of turbulent spray combustion in the SpraySyn burner: Impact of injector geometry
A Abdelsamie, C Chi, M Nanjaiah, I Skenderović, S Suleiman, D Thévenin
Flow, Turbulence and Combustion 106, 453-469, 2021
162021
A directional ghost-cell immersed boundary method for low Mach number reacting flows with interphase heat and mass transfer
Z Ou, C Chi, L Guo, D Thévenin
Journal of Computational Physics, 111447, 2022
152022
Fully resolved direct numerical simulation of single coal particle gasification in supercritical water
Z Ou, L Guo, C Chi, J Zhao, H Jin, D Thévenin
Fuel 329, 125474, 2022
112022
Data-driven discovery of heat release rate markers for premixed NH3/H2/air flames using physics-informed machine learning
C Chi, S Sreekumar, D Thévenin
Fuel 330, 125508, 2022
102022
Efficient premixed turbulent combustion simulations using flamelet manifold neural networks: A priori and a posteriori assessment
C Chi, X Xu, D Thévenin
Combustion and Flame 245, 112325, 2022
102022
Effects of molecular diffusion modeling on turbulent premixed NH3/H2/air flames
C Chi, W Han, D Thévenin
Proceedings of the Combustion Institute 39 (2), 2259-2268, 2023
82023
Transient ignition of premixed methane/air mixtures by a pre-chamber hot jet: a DNS study
C Chi, A Abdelsamie, D Thévenin
Flow, Turbulence and Combustion 108 (3), 775-795, 2022
72022
Identification and analysis of very-large-scale turbulent motions using multi-scale proper orthogonal decomposition
C Chi, D Thévenin, AJ Smits, S Wolligandt, H Theisel
Physical Review Fluids 7, 084603, 2022
52022
DNS study on reactivity stratification with prechamber H2/air turbulent jet flame to enhance NH3/air combustion in gas engines
C Chi, D Thévenin
Fuel 347, 128387, 2023
42023
Interface-resolved direct numerical simulations of interphase momentum, heat, and mass transfer in supercritical water gasification of coal
Z Ou, L Guo, C Chi, S Zhu, C Ren, H Jin, D Thévenin
Physics of Fluids 34 (10), 2022
42022
Comparing LES and URANS results with a reference DNS of the transitional airflow in a patient-specific larynx geometry during exhalation
A Abdelsamie, S Voß, P Berg, C Chi, C Arens, D Thévenin, G Janiga
Computers & Fluids 255, 105819, 2023
32023
Combustion Mode and Mixing Characteristics of a Reacting Jet in Crossflow
Z Zhang, A Abdelsamie, C Chi, D Thevenin, KH Luo
Energy & Fuels 35 (16), 13325-13337, 2021
32021
Indirect measurement of heat release in hydrogen flames using species correlations
C Chi, G Janiga, K Zähringer, D Thévenin
28. Deutscher Flammentag, 625-636, 2017
22017
A dedicated reduced kinetic model for ammonia/dimethyl-ether turbulent premixed flames
W Guan, A Abdelsamie, C Chi, Z He, D Thévenin
Combustion and Flame 257, 113002, 2023
12023
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Articles 1–20