TY - JOUR
T1 - Evolution of the temperature distribution of granular material in a horizontal rotating cylinder
AU - Yohannes, Bereket
AU - Emady, Heather
AU - Anderson, Kellie
AU - Javed, Maham
AU - Paredes, Ingrid J.
AU - Muzzio, Fernando J.
AU - Borghard, William G.
AU - Glasser, Benjamin J.
AU - Cuitiño, Alberto M.
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2017.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - Accurate prediction of the particles' temperature distribution and the time required to heat up the particles is important to maintain good quality products and economical processes for several industrial processes that involve thermal treatment. However, we do not have quantitative models to predict the average temperature or particles' temperature distribution accurately. In this article, we carry out DEM simulations and compute the temporal and spatial evolution of the distribution of the particles' temperature in rotating cylinders. We present typical examples for different particle properties and operating conditions. The temperature distribution follows what is referred to as a uniform distribution with well defined mean and standard deviation values. Our analysis of these statistical parameters can assist in the prediction of the time required to heat up granular materials and the design of efficient processes.
AB - Accurate prediction of the particles' temperature distribution and the time required to heat up the particles is important to maintain good quality products and economical processes for several industrial processes that involve thermal treatment. However, we do not have quantitative models to predict the average temperature or particles' temperature distribution accurately. In this article, we carry out DEM simulations and compute the temporal and spatial evolution of the distribution of the particles' temperature in rotating cylinders. We present typical examples for different particle properties and operating conditions. The temperature distribution follows what is referred to as a uniform distribution with well defined mean and standard deviation values. Our analysis of these statistical parameters can assist in the prediction of the time required to heat up granular materials and the design of efficient processes.
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U2 - 10.1051/epjconf/201714003012
DO - 10.1051/epjconf/201714003012
M3 - Conference article
AN - SCOPUS:85024116077
SN - 2101-6275
VL - 140
JO - EPJ Web of Conferences
JF - EPJ Web of Conferences
M1 - 03012
T2 - 8th International Conference on Micromechanics on Granular Media, Powders and Grains 2017
Y2 - 3 July 2017 through 7 July 2017
ER -