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: | |
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2022
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| Subjects: | |
| Online Access: | 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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| Summary: | 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. |
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