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Relevant bibliographies by topics / Flame Particle Tracking

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Journal articles

Academic literature on the topic 'Flame Particle Tracking'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Flame Particle Tracking"

1

Xie, Qing, Siheng Yang, Hao Cheng, Chi Zhang, and Zhuyin Ren. "Predicting the ignition sequences in a separated stratified swirling spray flame with stochastic flame particle tracking." Journal of the Global Power and Propulsion Society 6 (October 12, 2022): 279–89. http://dx.doi.org/10.33737/jgpps/153495.

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Stochastic flame particle tracking in conjunction with non-reacting combustor simulations can offer insights into the ignition processes and facilitate the combustor optimization. In this study, this approach is employed to simulate the ignition sequences in a separated dual-swirl spray flame, in which the newly proposed pairwise mixing-reaction model is used to account for the mass and energy transfer between the flame particle and the surrounding shell layer. Based on the flame particle temperature, the particle state can be classified in to burnt, hot gas, and extinguished. The additional s

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2

Echekki, T., and M. G. Mungal. "Particle Tracking in a Laminar Premixed Flame." Physics of Fluids A: Fluid Dynamics 2, no. 9 (1990): 1523. http://dx.doi.org/10.1063/1.4738844.

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3

Uranakara, Harshavardhana A., Swetaprovo Chaudhuri, Himanshu L. Dave, Paul G. Arias, and Hong G. Im. "A flame particle tracking analysis of turbulence–chemistry interaction in hydrogen–air premixed flames." Combustion and Flame 163 (January 2016): 220–40. http://dx.doi.org/10.1016/j.combustflame.2015.09.033.

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4

Weber, R., A. A. F. Peters, P. P. Breithaupt, and B. M. Visser. "Mathematical Modeling of Swirling Flames of Pulverized Coal: What Can Combustion Engineers Expect From Modeling?" Journal of Fluids Engineering 117, no. 2 (1995): 289–97. http://dx.doi.org/10.1115/1.2817143.

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The present study is concerned with mathematical modeling of swirling pulverized coal flames. The attention is focused on the near burner zone properties of high-and low-NOx flames issued from an Aerodynamically Air Staged Burner of 3.4 MW thermal input. The swirling combusting flows are calculated using the k–ε model and second-order models of turbulence. The Eulerian balance equations for enthalpy and mass fractions of oxygen, volatiles, carbon monoxide and final combustion products (CO2 + H2O) are solved. The Lagrangian particle tracking is accompanied by appropriate models of coal devolati

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5

XIE, Qing, Zhuyin REN, and Ke WANG. "Modelling ignition probability with pairwise mixing-reaction model for flame particle tracking." Chinese Journal of Aeronautics 34, no. 5 (2021): 523–34. http://dx.doi.org/10.1016/j.cja.2020.12.031.

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6

Lee, K. H., and C. S. Lee. "Effects of tumble and swirl flows on turbulence scale near top dead centre in a four-valve spark ignition engine." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 217, no. 7 (2003): 607–15. http://dx.doi.org/10.1243/095440703322114988.

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The in-cylinder flowfield and the turbulence scale at the ignition timing play an important role in enhancing the propagation speed of the initial flame and the engine combustion. The aim of this work is to investigate the effect of tumble and swirl flows on the turbulence scale near the top dead centre in a four-valve spark ignition (SI) engine by an experimental method. In this study, various flowfields such as tumble and swirl flows were generated by intake flow control valves. For investigation of the flowfields, the single-frame particle tracking velocimeter (PTV) and the twocolour partic

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7

Lewis, G. S., and B. J. Cantwell. "Instantaneous Two-Dimensional Velocity Field Measurements in a Periodic Flame Using Particle Tracking Velocimetry." Physics of Fluids 31, no. 9 (1988): 2388. http://dx.doi.org/10.1063/1.4738823.

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8

Liu, Kan, and David Liu. "Particle tracking velocimetry and flame front detection techniques on commercial aircraft debris striking events." Journal of Visualization 22, no. 4 (2019): 783–94. http://dx.doi.org/10.1007/s12650-019-00571-8.

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9

Rezk, Hegazy, Magdy M. Zaky, Mohemmed Alhaider, and Mohamed A. Tolba. "Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications." Energies 15, no. 23 (2022): 8836. http://dx.doi.org/10.3390/en15238836.

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Depending on the temperature difference between the hot and cold sides of the thermoelectric generator (TEG), the output performance of the TEG can be produced. This means that it is necessary to force a TEG based on robust maximum power point tracking (MPPT) to operate close to its MPP at any given temperature or load. In this paper, an improved fractional MPPT (IFMPPT) is proposed in order to increase the amount of energy that can be harvested from TEGs. According to the suggested method, fractional order control is used. A moth-flame optimizer (MFO) was used to determine IFMPPT’s optimal pa

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10

Fuyuto, Takayuki, Yoshiaki Hattori, Hayato Yamashita, Naoki Toda, and Makoto Mashida. "Set-off length reduction by backward flow of hot burned gas surrounding high-pressure diesel spray flame from multi-hole nozzle." International Journal of Engine Research 18, no. 3 (2016): 173–94. http://dx.doi.org/10.1177/1468087416640429.

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The backward flow of the hot burned gas surrounding a diesel flame was found to be one of the factors reducing the set-off length (also called the lift-off length), that is, the distance from a nozzle exit into which a diffusion flame cannot intrude. In the combustion chamber of an actual diesel engine, the entrainment of the surrounding gas into a spray jet injected from a multi-hole nozzle is restricted by the combustion chamber walls and the adjacent spray jets, thus inducing the backward flow of the surrounding gas toward the nozzle exit. The emergence of this backward flow was measured by

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