文献类型：期刊文献

英文题名：Monte Carlo simulation of the induction time and particle size distribution in the nucleation of calcium carbonate

作者：Xu, Hongyo[1];Zhou, Sichen[1];Jin, Xibiao[1];Liu, Yongdi[1]

机构：[1]E China Univ Sci & Technol, Sch Resource & Environm Engn, Shanghai 200237, Peoples R China

年份：2014

卷号：253

起止页码：242

外文期刊名：POWDER TECHNOLOGY

收录：;EI(收录号：20135117116494);WOS:【SCI-EXPANDED(收录号:WOS:000332430600034)】；

基金：This study is supported by the Key Project in the National Science & Technology Pillar Program during the Eleventh Five-Year Plan Period.

语种：英文

外文关键词：Monte Carlo simulation; Induction time; Calcium carbonate

摘要：In water treatment the crystallization of insoluble salts may produce a large number of fines, thereby increasing the turbidity and reducing the treatment efficiency. The induction time (t(ind)) is a crucial indicator of nucleation during crystallization. Previous studies have predicted t(ind) using an aggregation model (AM) proposed by Qian (QIAN-AM), which ignores cluster breakup during nucleus formation. The present study incorporated a hypothesized "binary breakup" mechanism into the AM, thus creating an aggregation-breakup model (ABM). This ABM was combined with a multi-Monte Carlo method (MMC-ABM) and applied to simulate the nucleation of calcium carbonate. Compared with the QIAN-AM and MMC-AM, the MMC-ABM showed improved accuracy, especially at high supersaturation conditions. Moreover, the MMC-ABM was used to predict the particle size distribution during nucleation and to simulate t(ind) for a water-softening reactor. The simulation suggested that the nucleation in the reactor was faster than the macromixing; in this case, a large number of fines would form before homogeneous mixing, which would make the subsequent sedimentation process difficult. Therefore, effective control of the dosing point supersaturation is crucial to improving the performance of the reactor. (C) 2013 Elsevier B.V. All rights reserved.