1 |
Two ignition transition modes at small and large distances between electrodes of a lean primary reference automobile fuel/air mixture at 373 K with Lewis number >> 1 Shy S, Liao YC, Chen YR, Huang SY Combustion and Flame, 225, 340, 2021 |
2 |
Experiments and numerical simulation on the suppression of explosion of propane/air mixture by water mist Nakahara K, Yoshida A, Nishioka M Combustion and Flame, 223, 192, 2021 |
3 |
A Numerical Investigation of the Minimum Ignition Energy Requirement for Forced Ignition of Turbulent Droplet-laden Mixtures Papapostolou V, Erol GO, d'Auzay CT, Chakraborty N Combustion Science and Technology, 193(2), 307, 2021 |
4 |
부유 분진의 정전압에 의한 최소착화에너지 위험성평가 한우섭 Korean Chemical Engineering Research, 59(3), 359, 2021 |
5 |
Investigation of particle density on dust cloud dynamics in a minimum ignition energy apparatus using digital in-line holography Prasad S, Schweizer C, Bagaria P, Saini A, Kulatilaka WD, Mashuga CV Powder Technology, 384, 297, 2021 |
6 |
Effect of particle morphology on dust cloud dynamics Prasad S, Schweizer C, Bagaria P, Kulatilaka WD, Mashuga CV Powder Technology, 379, 89, 2021 |
7 |
New understanding about the relationship between surface ignition and low-carbon iron ore sintering performance Fan XH, Zhao YJ, Ji ZY, Li HR, Gan M, Zhou HY, Chen XL, Huang XX Process Safety and Environmental Protection, 146, 267, 2021 |
8 |
Experimental investigation of the stochastic early flame propagation after ignition by a low-energy electrical discharge Essmann S, Markus D, Grosshans H, Maas U Combustion and Flame, 211, 44, 2020 |
9 |
Studies of multi-channel spark ignition of lean n-pentane/air mixtures in a spherical chamber Zhao H, Zhao NB, Zhang TH, Wu SQ, Ma GM, Yan C, Ju YG Combustion and Flame, 212, 337, 2020 |
10 |
Quantitative Structure-Property Relationship (QSPR) models for Minimum Ignition Energy (MIE) prediction of combustible dusts using machine learning Chaudhari P, Ade N, Perez LM, Kolis S, Mashuga CV Powder Technology, 372, 227, 2020 |