Simulation of clinker grinding circuits of cement plant based on process models calibrated using GA search method
来源期刊：中南大学学报(英文版)2014年第2期
论文作者：A. Farzanegan E. Ghasemi Ardi A. Valian V. Hasanzadeh
文章页码：799 - 810
Key words：cement plant; clinker grinding; genetic algorithm; simulation; optimization
Abstract: Particle size distributions of obtained samples from several sampling campaigns were determined and raw data were mass balanced before being used in simulation studies. After determination of breakage function, selection function, Bond work index, residence time distribution parameters, and Whiten’s model parameters for air separators and diaphragms between the two compartments of tube ball mills, performance of the circuits was simulated for given throughputs and feed particle size distribution. Whiten’s model parameters were determined by GA (genetic algorithm) toolbox of MATLAB software. Based on implemented models for modeling and simulation, optimization of circuits was carried out. It increased nearly 10.5% and 15.8% in fresh feed capacity input to each tube ball mill. In addition, circulating load ratios of circuits are modified to 118% and 127% from low level of 57% and 22%, respectively, and also cut points of air separators are adjusted at 30 and 40 μm from high range of 53 and 97 μm, respectively. All applications helped in well-operation and energy consumption reduction of equipments.
A. Farzanegan1, E. Ghasemi Ardi1, A. Valian2, V. Hasanzadeh1
(1. School of Mining, College of Engineering, University of Tehran, Tehran 11155-4563, Iran;
2. Department of Mining, Faculty of Engineering, University of Kashan, Kashan 8731751167, Iran)
Abstract:Particle size distributions of obtained samples from several sampling campaigns were determined and raw data were mass balanced before being used in simulation studies. After determination of breakage function, selection function, Bond work index, residence time distribution parameters, and Whiten’s model parameters for air separators and diaphragms between the two compartments of tube ball mills, performance of the circuits was simulated for given throughputs and feed particle size distribution. Whiten’s model parameters were determined by GA (genetic algorithm) toolbox of MATLAB software. Based on implemented models for modeling and simulation, optimization of circuits was carried out. It increased nearly 10.5% and 15.8% in fresh feed capacity input to each tube ball mill. In addition, circulating load ratios of circuits are modified to 118% and 127% from low level of 57% and 22%, respectively, and also cut points of air separators are adjusted at 30 and 40 μm from high range of 53 and 97 μm, respectively. All applications helped in well-operation and energy consumption reduction of equipments.
Key words:cement plant; clinker grinding; genetic algorithm; simulation; optimization
