高校化学工程学报2026，Vol.40Issue(3)：432-442,11.DOI:10.3969/j.issn.1003-9015.2025.00.079
磷酸二氢铵结晶介稳区预测模型构建及工艺优化
Construction of metastable zone width prediction models and process optimization for ammonium dihydrogen phosphate crystallization
摘要
Abstract
To achieve precise control of industrial crystallization processes and enhance product quality and production efficiency,in this study,the aqueous solubility and saturated solution density of the target substance were first systematically determined within 308.15-338.15 K,and the Apelblat equation,Van't Hoff equation,and polynomial equation were employed for thermodynamic correlation of the solubility data.The results showed that the Apelblat equation had the smallest error and optimal precision(fitting coefficient:0.999 64);the calculated dissolution enthalpy and entropy were 11.265 0 kJ·mol-1 and 14.872 6 J·mol-1·K-1,respectively,confirming the dissolution process as endothermic and non-spontaneous.Subsequently,the effects of cooling rate and stirring rate on the metastable zone width(MSZW)were investigated,and the Nývlt theory,self-consistent Nývlt-like theory,and 3D nucleation theory model were applied for MSZW prediction and comparative analysis.It was found that increasing temperature,decreasing cooling rate,or increasing stirring rate significantly narrowed the MSZW,and the self-consistent Nývlt-like theory model exhibited the best predictive performance and applicability(fitting coefficient:0.9).Finally,a quantitative correlation between MSZW,saturation temperature,and cooling rate was constructed based on this model,providing critical theoretical basis and data support for the optimal design of industrial crystallization process parameters(e.g.,cooling program,stirring intensity).关键词
磷酸二氢铵/结晶热力学/介稳区宽度/介稳区预测模型Key words
ammonium dihydrogen phosphate/crystallization thermodynamics/metastable zone width/metastable zone prediction model分类
化学化工引用本文复制引用
黄代祺,麦文浩,郑雅元,杜怀明,李路云..磷酸二氢铵结晶介稳区预测模型构建及工艺优化[J].高校化学工程学报,2026,40(3):432-442,11.基金项目
四川省科技教育联合基金(2025NSFSC2070),四川省科技重点研发项目(2020YFG0163),精细化工助剂及表面活性剂四川省高校重点实验室(2019JXY01). （2025NSFSC2070）
