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颗粒群组方法中关键参数的选取
引用本文:雷洪,赵岩. 颗粒群组方法中关键参数的选取[J]. 东北大学学报(自然科学版), 2016, 37(4): 508-512. DOI: 10.12068/j.issn.1005-3026.2016.04.012
作者姓名:雷洪  赵岩
作者单位:(1. 东北大学 材料电磁过程研究教育部重点实验室, 辽宁 沈阳110819;2. 东北大学 冶金学院, 辽宁 沈阳110819)
基金项目:国家自然科学基金和上海宝钢集团联合资助项目(U1460108);辽宁省百千万人才工程培养项目(2013921073);北京科技大学钢铁冶金新技术国家重点实验室开放课题(KF13-10)
摘    要:为了深入了解颗粒群组方法的特点,提出了修正最大群组数方法,研究了颗粒群组方法中的两个关键参数(体积增量和最大群组数)对数量密度和体积分数的影响.结果表明:传统最大群组数在计算颗粒数量密度时比较准确,修正最大群组数在计算颗粒体积分数时比较准确.随着颗粒体积增量的增加,传统最大群组数得到的颗粒数量密度的预测值降低,而颗粒体积分数的预测值增加.随着颗粒体积增量的增加,修正最大群组数得到的颗粒数量密度的预测值下降,而颗粒体积分数的预测值呈振荡趋势.

关 键 词:颗粒  碰撞聚合  Smoluchowski模型  颗粒群组法  颗粒体积增量  最大群组数  

Key Parameter Selection in Particle-Size-Grouping Method
LEI Hong;ZHAO Yan. Key Parameter Selection in Particle-Size-Grouping Method[J]. Journal of Northeastern University(Natural Science), 2016, 37(4): 508-512. DOI: 10.12068/j.issn.1005-3026.2016.04.012
Authors:LEI Hong  ZHAO Yan
Affiliation:1. Key Laboratory of Electromagnetic Processing of Materials, Ministry of Education, Northeastern University, Shenyang 110819, China; 2. School of Metallurgy, Northeastern University, Shenyang 110819, China.
Abstract:In order to have a deep insight into the particle-size-grouping (PSG) method, a modified maximum group number method was developed to study the effects of two key parameters (the particle volume increment and the maximum group number) on the particle number density and volume fraction. The results showed that a more accurate value of the particle number density was obtained by using the PSG method with the traditional maximum group number while a more accurate value of the particle volume fraction was obtained by using the PSG method with the modified maximum group number. With the increase of the particle volume increment, the predicted value of the particle number density decreased, while the predicted value of the particle volume fraction increased when using the PSG method with the traditional maximum group number. With the increase of particle volume increment, the predicted value of the particle number density decreased, while the predicted value of the particle volume fraction showed a trend of oscillation when using the PSG method with the modified maximum group number.
Keywords:particle  collision and aggregation  Smoluchowski model  particle-size-grouping method  particle volume increment  maximum group number  
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