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Modeling and Optimization of the Flocculation Process of Multi-Component Coal Waste Slurry Using Hybrid Polymer
International Journal of Coal Preparation and Utilization ( IF 2.1 ) Pub Date : 2021-09-06 , DOI: 10.1080/19392699.2021.1976165
Nazife Özdemir 1 , Selçuk Özgen 2 , Eyüp Sabah 1
Affiliation  

ABSTRACT

In the present study, the flocculation of multi-component coal waste slurry was investigated using an eco-friendly hybrid polymer naturally derived. The three significant operational parameters of the flocculation process, polymer dosage, suspension pH, and mixing time, were varied and the results were evaluated with the Central Composite Rotatable Design. In order to the flocculation process, mathematical model equations were derived by computer simulation programming applying the least-squares method using Minitab 15. Second-order response functions were produced for residual turbidity (RT), settleable solid speed (SSS), and settleable solid volume (SSV). The predictions were found to be in perfect agreement with the observed values (R2 values of between 0.82 and 0.86). The optimum results were obtained for the RT, SSS, and SSV as 3.59 NTU, 10 mm/min, and 143 ml, respectively, at polymer dosage – 350 ppm, suspension pH – 10, and mixing time – 1.0 min). Additionally, the predicted models have been presented as 3D (three-dimensional) response surface graphs to understand the results.



中文翻译:

杂化聚合物多组分煤泥浆絮凝过程的建模与优化

摘要

在本研究中,使用天然衍生的环保杂化聚合物研究了多组分煤废浆的絮凝。絮凝过程的三个重要操作参数,聚合物用量,悬浮液 pH 值和混合时间,是变化的,并使用中心复合旋转设计评估结果。为了絮凝过程,通过使用 Minitab 15 应用最小二乘法的计算机模拟编程推导了数学模型方程。产生了残余浊度 ( RT )、可沉降固体速度 ( SSS ) 和可沉降固体的二阶响应函数体积(SSV)。发现预测与观测值完全一致 (R 2值介于 0.82 和 0.86 之间)。RT、SSSSSV的最佳结果分别为 3.59 NTU、10 mm/min 和 143 ml,聚合物剂量为 350 ppm,悬浮液 pH 值为 10,混合时间为 1.0 分钟)。此外,预测模型已呈现为 3D(三维)响应曲面图以理解结果。

更新日期:2021-09-06
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