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Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation

Comminution involves the reduction of materials to the required sizes, from coarser to finer. The population balance method (PBM) is the most frequently used approach to obtain the particle size distribution (PSD) of materials. To numerically obtain the PSD, a semi-empirical approach known as the si...

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Main Authors: Drahman, Siti Hasyyati, Kueh, Ahmad Beng Hong, Zainal Abidin, Ahmad Razin, Nikmatin, Siti
Format: Article
Published: Elsevier B. V. 2018
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/86249/
http://dx.doi.org/10.1016/j.powtec.2018.01.075
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spelling my.utm.862492020-08-31T13:57:20Z http://eprints.utm.my/id/eprint/86249/ Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation Drahman, Siti Hasyyati Kueh, Ahmad Beng Hong Zainal Abidin, Ahmad Razin Nikmatin, Siti TA Engineering (General). Civil engineering (General) Comminution involves the reduction of materials to the required sizes, from coarser to finer. The population balance method (PBM) is the most frequently used approach to obtain the particle size distribution (PSD) of materials. To numerically obtain the PSD, a semi-empirical approach known as the size-mass balance equation is commonly employed. The existing technique to determine the parameters in the size-mass balance equation is cumbersome as PSD for early grinding times of different feed sizes must be obtained experimentally. Therefore, a new technique using only a limited data to determine the parameters is introduced and examined. In general, the strong capability of the presently proposed technique is evidenced through successfully capturing of the existing experimental PSD. The advantages of using this technique are that only two experimental PSD of any grinding time are needed to predict the PSD using the size-mass balance equation and without the restriction of input from an early grinding time. This study also proposes to use the cumulative PSD rates as an indicator for the limit of particle size reduction of the materials. It is suggested that the grinding of materials should stop before there is a pivotal change in the initial slopes, i.e., before the difference of the cumulative PSD rates between each initial slopes is found to change sign, or when the difference of the cumulative PSD rates is close to 0% in order to prevent agglomeration or over-grinding. The grinding time fulfilling this criterion is considered as optimal. Elsevier B. V. 2018-04 Article PeerReviewed Drahman, Siti Hasyyati and Kueh, Ahmad Beng Hong and Zainal Abidin, Ahmad Razin and Nikmatin, Siti (2018) Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation. Powder Technology, 329 . pp. 313-322. ISSN 0032-5910 http://dx.doi.org/10.1016/j.powtec.2018.01.075
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Drahman, Siti Hasyyati
Kueh, Ahmad Beng Hong
Zainal Abidin, Ahmad Razin
Nikmatin, Siti
Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
description Comminution involves the reduction of materials to the required sizes, from coarser to finer. The population balance method (PBM) is the most frequently used approach to obtain the particle size distribution (PSD) of materials. To numerically obtain the PSD, a semi-empirical approach known as the size-mass balance equation is commonly employed. The existing technique to determine the parameters in the size-mass balance equation is cumbersome as PSD for early grinding times of different feed sizes must be obtained experimentally. Therefore, a new technique using only a limited data to determine the parameters is introduced and examined. In general, the strong capability of the presently proposed technique is evidenced through successfully capturing of the existing experimental PSD. The advantages of using this technique are that only two experimental PSD of any grinding time are needed to predict the PSD using the size-mass balance equation and without the restriction of input from an early grinding time. This study also proposes to use the cumulative PSD rates as an indicator for the limit of particle size reduction of the materials. It is suggested that the grinding of materials should stop before there is a pivotal change in the initial slopes, i.e., before the difference of the cumulative PSD rates between each initial slopes is found to change sign, or when the difference of the cumulative PSD rates is close to 0% in order to prevent agglomeration or over-grinding. The grinding time fulfilling this criterion is considered as optimal.
format Article
author Drahman, Siti Hasyyati
Kueh, Ahmad Beng Hong
Zainal Abidin, Ahmad Razin
Nikmatin, Siti
author_facet Drahman, Siti Hasyyati
Kueh, Ahmad Beng Hong
Zainal Abidin, Ahmad Razin
Nikmatin, Siti
author_sort Drahman, Siti Hasyyati
title Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
title_short Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
title_full Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
title_fullStr Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
title_full_unstemmed Efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
title_sort efficient cumulative breakage distribution and breakage rate computation with minimal experiment intervention incorporating optimal time determination for fine grinding simulation
publisher Elsevier B. V.
publishDate 2018
url http://eprints.utm.my/id/eprint/86249/
http://dx.doi.org/10.1016/j.powtec.2018.01.075
_version_ 1677781151300714496
score 13.211869

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