TY - JOUR
T1 - Evaluation of Preduster in Cement Industry Based on Computational Fluid Dynamic
AU - Septiani, E. L.
AU - Widiyastuti, W.
AU - Djafaar, A.
AU - Ghozali, I.
AU - Pribadi, H. M.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - Ash-laden hot air from clinker in cement industry is being used to reduce water contain in coal, however it may contain large amount of ash even though it was treated by a preduster. This study investigated preduster performance as a cyclone separator in the cement industry by Computational Fluid Dynamic method. In general, the best performance of cyclone is it have relatively high efficiency with the low pressure drop. The most accurate and simple turbulence model, Reynold Average Navier Stokes (RANS), standard k-ϵ, and combination with Lagrangian model as particles tracking model were used to solve the problem. The measurement in simulation result are flow pattern in the cyclone, pressure outlet and collection efficiency of preduster. The applied model well predicted by comparing with the most accurate empirical model and pressure outlet in experimental measurement.
AB - Ash-laden hot air from clinker in cement industry is being used to reduce water contain in coal, however it may contain large amount of ash even though it was treated by a preduster. This study investigated preduster performance as a cyclone separator in the cement industry by Computational Fluid Dynamic method. In general, the best performance of cyclone is it have relatively high efficiency with the low pressure drop. The most accurate and simple turbulence model, Reynold Average Navier Stokes (RANS), standard k-ϵ, and combination with Lagrangian model as particles tracking model were used to solve the problem. The measurement in simulation result are flow pattern in the cyclone, pressure outlet and collection efficiency of preduster. The applied model well predicted by comparing with the most accurate empirical model and pressure outlet in experimental measurement.
UR - http://www.scopus.com/inward/record.url?scp=85035128238&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/241/1/012040
DO - 10.1088/1757-899X/241/1/012040
M3 - Conference article
AN - SCOPUS:85035128238
SN - 1757-8981
VL - 241
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012040
T2 - 2017 5th Asia Conference on Mechanical and Materials Engineering, ACMME 2017
Y2 - 9 June 2017 through 11 June 2017
ER -