An experimental investigation on quenching distance for Al dust flames have been done in improved flow system which can yield stable, controlled, and uniform dust mixtures. Experiments were performed with 18 micron aluminum particles diameter. Dust dispersion technique uses an annular high-speed jet which disperses dust continuously supplied via a piston-type dust feeding system. Laminarized dust flow ascending in a vertical Pyrex tube (d = 4.6cm, L = 150cm) was ignited at the open tube end. Constant pressure flames propagating downwards were observed. A set of thin, evenly spaced steel plates was installed in the upper third part of the tube in order to determine the flame quenching distance. Three different stages of flame propagation were observed: laminar, oscillating (transition region), and turbulent accelerating flames. Quenching distance as a function of dust concentration were determined during the laminar stage of flame propagation in dust-21% Oxygen-79% Nitrogen, dust-30% Oxygen-70% Nitrogen, and in dust-21% Oxygen-79% Argon mixtures. Furthermore, this research studies the effects of bed-gas on quenching distance and lean limit of combustion. It was found that the minimum quenching distance decreases when concentration of oxygen increases in the mixture. The minimum quenching distance is found to be about 4mm in air and decreases to 2mm in mixture of 30% O2. Also, it was found that the amount of lean limit of combustion decreases with increasing of oxygen percentage in mixture. The substitution of Argon for Nitrogen in air decreases the minimum quenching distance from about 4 to 3mm, and the amount of lean limit of combustion increases. The results is discussed with a mechanism of diffusive oxygen transport to the surface of burning Al particles in which a higher rate of oxygen transport in the N2/O2, as compared to the Ar/O2 gas mixtures.
Skip Nav Destination
ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences
August 10–14, 2008
Jacksonville, Florida, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-4840-1
PROCEEDINGS PAPER
Experimental Investigation on Quenching Distance for Aluminum Dust Flames
M. R. Habibzadeh,
M. R. Habibzadeh
IUST University of Technology, Tehran, Iran
Search for other works by this author on:
M. H. Keyhani
M. H. Keyhani
Shahrood University of Technology, Shahrood, Iran
Search for other works by this author on:
M. R. Habibzadeh
IUST University of Technology, Tehran, Iran
M. H. Keyhani
Shahrood University of Technology, Shahrood, Iran
Paper No:
FEDSM2008-55006, pp. 429-434; 6 pages
Published Online:
June 30, 2009
Citation
Habibzadeh, MR, & Keyhani, MH. "Experimental Investigation on Quenching Distance for Aluminum Dust Flames." Proceedings of the ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. Volume 1: Symposia, Parts A and B. Jacksonville, Florida, USA. August 10–14, 2008. pp. 429-434. ASME. https://doi.org/10.1115/FEDSM2008-55006
Download citation file:
4
Views
Related Proceedings Papers
Related Articles
Numerical Modeling of an Industrial Aluminum Melting Furnace
J. Energy Resour. Technol (March,2004)
Experimental Investigation of Turbulent Boundary Layer Flashback Limits for Premixed Hydrogen-Air Flames Confined in Ducts
J. Eng. Gas Turbines Power (January,2012)
Application of a Turbulent Jet Flame Flashback Propensity Model to a Commercial Gas Turbine Combustor
J. Eng. Gas Turbines Power (April,2017)
Related Chapters
The Identification of the Flame Combustion Stability by Combining Principal Component Analysis and BP Neural Network Techniques
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Later Single-Cylinder Engines
Air Engines: The History, Science, and Reality of the Perfect Engine
Predicting the Resistance of Power Cables to Flame Propagation by Neural Networks (PSAM-0069)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)