Size-dependent coalescence kernel in fertilizer granulation-A comparative study
Granulation is a key process in several industries like pharmaceutical, food, fertilizer, agrochemicals, etc. Population balance modeling has been used extensively for modeling agglomeration in many systems such as crystallization, aerosols, pelletisation, etc. The key parameter is the coalescence...
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Main Authors: | , , , |
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Format: | Article |
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2009
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Online Access: | http://eprints.utp.edu.my/2844/1/Size-dependent-coalescence-kernel-in-fertilizer-granulation-A-comparative-study_2009_Particuology.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-70849092352&partnerID=40&md5=1f3481f830228d9e43a9338a0daede02 http://eprints.utp.edu.my/2844/ |
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Institution: | Universiti Teknologi Petronas |
Summary: | Granulation is a key process in several industries like pharmaceutical, food, fertilizer, agrochemicals, etc. Population balance modeling has been used extensively for modeling agglomeration in many systems such as crystallization, aerosols, pelletisation, etc. The key parameter is the coalescence kernel, β(i,j) which dictates the overall rate of coalescence as well as the effect of granule size on coalescence rate. Adetayo, Litster, Pratsinis, and Ennis (1995) studied fertilizer granulation with a broad size distribution and modeled it with a two-stage kernel. A constant kernel can be applied to those granules which coalesce successfully. The coalescence model gives conditions for two types of coalescence, Type I and II. A two-stage kernel, which is necessary to model granule size distribution over a wide size distribution, is applied in the present fluidized bed spray granulation process. The first stage is size-independent and non-inertial regime, and is followed by a size-dependent stage in which collisions between particles are non-random, i.e. inertial regime. The present work is focused on the second stage kernel where the feed particles of volume i and j collide and form final granule ij instead of i + j (Adetayo et al., 1995) which gives a wider particle size distribution of granules than proposed earlier. © 2009 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences.
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