东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (4): 508-512.DOI: 10.12068/j.issn.1005-3026.2016.04.012

• 材料与冶金 • 上一篇    下一篇

颗粒群组方法中关键参数的选取

雷洪1， 赵岩2   

  1. (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)
  • 收稿日期:2015-02-19 修回日期:2015-02-19 出版日期:2016-04-15 发布日期:2016-04-05
  • 通讯作者: 雷洪
  • 作者简介:雷洪(1973-)，男，湖北武汉人，东北大学教授，博士生导师.
  • 基金资助:
    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).

Key Parameter Selection in Particle-Size-Grouping Method

LEI Hong1， ZHAO Yan2   

  1. 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.
  • Received:2015-02-19 Revised:2015-02-19 Online:2016-04-15 Published:2016-04-05
  • Contact: LEI Hong
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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

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.

Key words: particle, collision and aggregation, Smoluchowski model, particle-size-grouping method, particle volume increment, maximum group number

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