Effects of Nucleation and Crystal Growth Rates on Crystal Size Distribution for Seeded Batch Potash Alum Crystallization Process

Q4 Chemical Engineering ASEAN Journal of Chemical Engineering Pub Date : 2022-12-29 DOI:10.22146/ajche.74121
S. Z. Adnan, N. A. Abdul Samad
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引用次数: 1

Abstract

The driving force of the cooling crystallization process is supersaturation, where the supersaturation level during the crystallization process is crucial to grow the crystal sufficiently. Nucleation and crystal growth rates are two concurrent phenomena occurring during crystallization. Both are supersaturation functions that determine the growth of seed crystals and the formation of fine crystals. Trade-offs between nucleation and crystal growth are essential for achieving the large size of seed crystals with the minimum number of fine crystals. Thus, the objective of this study is to analyze the effects of nucleation and crystal growth rates on final product quality, which is crystal size distribution (CSD). Modeling of the crystallization process using a potash alum case study is highlighted and simulated using Matlab software. Then, the effects of nucleation rate, crystal growth rate, and both nucleation and crystal growth rates on CSD are evaluated using local sensitivity analysis based on the one-factor-at-a-time (OFAT) method. Based on simulation results for all strategies, a low combined rate delivers the best performance of the final CSD compared to others. Its primary peak has a mean crystal size of 455 µm with 0.0078 m3/m volume distribution. This means that the grown seed crystals are large with high volume distribution compared to the nominal strategy, which is at the mean crystal size of 415 µm and 0.00434 m3/m. Meanwhile, the secondary peak has the mean crystal size of 65 µm, 0.00028 m3/m in volume distribution. This corroborates the least number of fine crystals at the considerably small size compared to nominal’s (0.00151 m3/m, 35 µm). Overall, the low nucleation and crystal growth rates strategy provides useful insights into designing temperature profiles during the linear cooling crystallization process, whereby achievable supersaturation levels in obtaining large crystals with fewer crystal fines are provided via simulation.
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种子批式钾明矾结晶过程中成核速率和晶体生长速率对晶体尺寸分布的影响
冷却结晶过程的驱动力是过饱和,结晶过程中的过饱和水平对晶体的充分生长至关重要。成核速率和晶体生长速率是结晶过程中同时发生的两个现象。两者都是过饱和函数,决定了种子晶体的生长和细晶的形成。在成核和晶体生长之间的权衡是实现大尺寸种子晶体与最小数量的细晶体的必要条件。因此,本研究的目的是分析成核速率和晶体生长速率对最终产品质量的影响,即晶体尺寸分布(CSD)。以碳酸钾明矾为例,对结晶过程进行了建模,并用Matlab软件进行了仿真。然后,采用基于单因子-一次(OFAT)法的局部灵敏度分析,评价了成核速率、晶体生长速率以及成核和晶体生长速率对CSD的影响。基于所有策略的仿真结果,较低的组合速率可以提供最终CSD的最佳性能。其原峰平均晶粒尺寸为455µm,体积分布为0.0078 m3/m。这意味着与名义策略相比,生长的种子晶体体积大,体积分布高,平均晶体尺寸为415µm, 0.00434 m3/m。次峰平均晶粒尺寸为65µm,体积分布为0.00028 m3/m。这证实了与标称尺寸(0.00151 m3/m, 35µm)相比,在相当小的尺寸下,细晶的数量最少。总体而言,低成核和晶体生长速率策略为设计线性冷却结晶过程中的温度分布提供了有用的见解,从而通过模拟提供了在获得较少晶细的大晶体时可实现的过饱和水平。
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来源期刊
ASEAN Journal of Chemical Engineering
ASEAN Journal of Chemical Engineering Chemical Engineering-Chemical Engineering (all)
CiteScore
1.00
自引率
0.00%
发文量
15
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