| 1 |
Data driven analysis and prediction of MILD combustion mode
Jigjid K, Tamaoki C, Minamoto Y, Nakazawa R, Inoue N, Tanahashi M
Combustion and Flame, 223, 474, 2021 |
| 2 |
Prediction of ignition modes of NTC-fuel/air mixtures with temperature and concentration fluctuations
Luong MB, Perez FEH, Im HG
Combustion and Flame, 213, 382, 2020 |
| 3 |
Turbulent nonpremixed cool flames: Experimental measurements, Direct Numerical Simulation, and manifold-based combustion modeling
Novoselov AG, Reuter CB, Yehia OR, Won SH, Fu MK, Kokmanian K, Hultmark M, Ju YG, Mueller ME
Combustion and Flame, 209, 144, 2019 |
| 4 |
Ignition characteristics of a temporally evolving n-heptane jet in an iso-octane/air stream under RCCI combustion-relevant conditions
Yu GH, Luong MB, Chung SH, Yoo CS
Combustion and Flame, 208, 299, 2019 |
| 5 |
Analysis of Markers for Combustion Mode and Heat Release in MILD Combustion Using DNS Data
Doan NAK, Swaminathan N
Combustion Science and Technology, 191(5-6), 1059, 2019 |
| 6 |
Fully resolved simulations of thermal convective suspensions of elliptic particles using a multigrid fictitious boundary method
Walayat K, Zhang ZL, Usman K, Chang JZ, Liu MB
International Journal of Heat and Mass Transfer, 139, 802, 2019 |
| 7 |
Effect of turbulent motions at different length scales on turbulent premixed swirl-stabilised flame topology
Minamoto Y, Tanahashi M
International Journal of Hydrogen Energy, 44(39), 22316, 2019 |
| 8 |
A new drag force and heat transfer correlation derived from direct numerical LBM-simulations of flown through particle packings
Kravets B, Rosemann T, Reinecke SR, Kruggel-Emden H
Powder Technology, 345, 438, 2019 |
| 9 |
Effect of Schmidt number and D/d ratio on mass transfer through gas-solid and liquid-solid packed beds: Direct numerical simulations
Bale S, Tiwari SS, Nandakumar K, Joshi JB
Powder Technology, 354, 529, 2019 |
| 10 |
DNS of MILD combustion with mixture fraction variations
Doan NAK, Swaminathan N, Minamoto Y
Combustion and Flame, 189, 173, 2018 |
