Simulation Study Of Clinker/Grinding Plant

The cement industry is a major energy consumer, accounting for around 1% of worldwide fuel production and 2% of global electricity generation. Because of the low efficiency processes it uses, such as burning, cooling, and especially grinding, the sector has been blamed for wasting energy. In recen...

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Main Author: Abdul Halim, Mohammad Aminuddin
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2022
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Online Access:http://eprints.usm.my/56813/1/Simulation%20Study%20Of%20ClinkerGrinding%20Plant_Mohammad%20Aminuddin%20Abdul%20Halim.pdf
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spelling my.usm.eprints.56813 http://eprints.usm.my/56813/ Simulation Study Of Clinker/Grinding Plant Abdul Halim, Mohammad Aminuddin T Technology TN Mining Engineering. Metallurgy The cement industry is a major energy consumer, accounting for around 1% of worldwide fuel production and 2% of global electricity generation. Because of the low efficiency processes it uses, such as burning, cooling, and especially grinding, the sector has been blamed for wasting energy. In recent years, significant progress has been made in improving comminution efficiency, both in terms of developing machines that can maximize energy efficiency and in terms of optimizing grinding systems so that current machines may be used more efficiently. However, if optimum performance is to be reached, a deeper understanding of the effects of mill operating variables is still required. The objective of this study is to identify problems occurring during clinker grinding and classification and to create a model that can describe the clinker grinding circuit's grinding operation. This study would comprise repeated and thorough sampling of the clinker grinding circuit, with the data used to construct models of the two-compartment ball mill and the air classifier. The developed model also would be followed by simulation and optimization recommendations. The data will be analysed, evaluated, and fitted into JKSimMet, a mineral processing software programme to provide the model parameter of the two-compartment ball mill and air classifier, which can be utilized for clinker circuit simulation, optimization, and mass balancing. Computer simulation offers clear advantages in terms of accurate predictions of metallurgical performances of alternative circuits that can be used to optimize design, largely eliminating the need for time-consuming and costly plant trials. Universiti Sains Malaysia 2022-08-16 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/56813/1/Simulation%20Study%20Of%20ClinkerGrinding%20Plant_Mohammad%20Aminuddin%20Abdul%20Halim.pdf Abdul Halim, Mohammad Aminuddin (2022) Simulation Study Of Clinker/Grinding Plant. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Bahan dan Sumber Mineral. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TN Mining Engineering. Metallurgy
spellingShingle T Technology
TN Mining Engineering. Metallurgy
Abdul Halim, Mohammad Aminuddin
Simulation Study Of Clinker/Grinding Plant
description The cement industry is a major energy consumer, accounting for around 1% of worldwide fuel production and 2% of global electricity generation. Because of the low efficiency processes it uses, such as burning, cooling, and especially grinding, the sector has been blamed for wasting energy. In recent years, significant progress has been made in improving comminution efficiency, both in terms of developing machines that can maximize energy efficiency and in terms of optimizing grinding systems so that current machines may be used more efficiently. However, if optimum performance is to be reached, a deeper understanding of the effects of mill operating variables is still required. The objective of this study is to identify problems occurring during clinker grinding and classification and to create a model that can describe the clinker grinding circuit's grinding operation. This study would comprise repeated and thorough sampling of the clinker grinding circuit, with the data used to construct models of the two-compartment ball mill and the air classifier. The developed model also would be followed by simulation and optimization recommendations. The data will be analysed, evaluated, and fitted into JKSimMet, a mineral processing software programme to provide the model parameter of the two-compartment ball mill and air classifier, which can be utilized for clinker circuit simulation, optimization, and mass balancing. Computer simulation offers clear advantages in terms of accurate predictions of metallurgical performances of alternative circuits that can be used to optimize design, largely eliminating the need for time-consuming and costly plant trials.
format Monograph
author Abdul Halim, Mohammad Aminuddin
author_facet Abdul Halim, Mohammad Aminuddin
author_sort Abdul Halim, Mohammad Aminuddin
title Simulation Study Of Clinker/Grinding Plant
title_short Simulation Study Of Clinker/Grinding Plant
title_full Simulation Study Of Clinker/Grinding Plant
title_fullStr Simulation Study Of Clinker/Grinding Plant
title_full_unstemmed Simulation Study Of Clinker/Grinding Plant
title_sort simulation study of clinker/grinding plant
publisher Universiti Sains Malaysia
publishDate 2022
url http://eprints.usm.my/56813/1/Simulation%20Study%20Of%20ClinkerGrinding%20Plant_Mohammad%20Aminuddin%20Abdul%20Halim.pdf
http://eprints.usm.my/56813/
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score 13.211869