Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (4): 508-512.DOI: 10.12068/j.issn.1005-3026.2016.04.012

• Materials & Metallurgy • Previous Articles     Next Articles

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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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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