화학공학소재연구정보센터
Advanced Powder Technology, Vol.31, No.7, 2866-2879, 2020
Clarification of an improved cluster renewal model (ICRM) for heat transfer characteristics in a rolling circulating fluidized bed (RCFB)
This paper presents a novel method to predict the gas layer thickness delta' in an improved cluster renewal model (ICRM) to calculate the heat transfer coefficient h', for a rolling circulating fluidized bed (RCFB). Eulerian-Eulerian two-fluid model (TFM) with kinetic theory of granular flow is used to perform a numerical simulation. After comparing the pressure gradient -Delta p/Delta z' and the simulated heat transfer coefficient between multiphase and the wall h(gs) with previously published experiment data, the correctness and reliability of the simulation are able to be verified. In conclusion, firstly, the variation of h(c)s calculated from delta' in the ICRM is almost the same with hgs in the case that the RCFB undergoes the rolling motion. In order to quantitatively evaluate the proposed novel method, an error percentage a between h', calculated from delta' and h(gs) is 2.043% which is less than 5%. This certified that the novel method to predict delta' in the ICRM has higher accuracy to calculate h', Secondly, h', calculated from delta' is mainly influenced by rolling amplitude 0 rather than by rolling period T. Specifically, with the increase of 0, amplitudes of Ts are decreased, which is caused by the increased heat transfer and the decreased (5' between cluster and wall. The decreased amplitudes of T-s are able to increase heat transfer efficiency, which eventually increases h'c, Thirdly, in the case that normalized rolling period tIT is changed from 0 to 0.5, higher h', calculated from delta' in Region I results from the large local cross-sectional particle volume fraction go, 1 in Region I with a smaller delta', while lower h', calculated from (5' in Region III results from the smaller clo,1 in Region III with a larger delta'. Therefore, it is concluded that h'(c), calculated from delta' is able to well predict the bed-to-wall heat transfer coefficient of the RCFB even if the rolling motion is considered. (C) 2020 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.