Simulation Study Of Clinker/Grinding Plant

• Main Author: Abdul Halim, Mohammad Aminuddin
• Format: Monograph
• Language: English
• Published: Universiti Sains Malaysia 2022
• Subjects: T Technology; TN Mining Engineering. Metallurgy
• Online Access: http://eprints.usm.my/56813/1/Simulation%20Study%20Of%20ClinkerGrinding%20Plant_Mohammad%20Aminuddin%20Abdul%20Halim.pdf; http://eprints.usm.my/56813/

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.