scholarly journals Application of Intellectual Control Treatment for Cement Grinding Process

2014 ◽  
Author(s):  
Li Cong ◽  
Zhang Yaning ◽  
Ruifang Zhang ◽  
Zhugang Yuan
Keyword(s):  
Control Treatment ◽  
Grinding Process ◽  
Intellectual Control ◽  
Cement Grinding

One High Efficiency Production Line of Clinker and Slag Grinding Separately by Roller Mill in Cement Industry

2008 ◽  
Vol 58 ◽  
pp. 83-89
Author(s):  
Ning Chang Liu ◽  
Zhao Feng Li
Keyword(s):  
Energy Consumption ◽  
High Efficiency ◽  
High Energy ◽  
Cement Industry ◽  
Grinding Process ◽  
Roller Mill ◽  
Low Efficiency ◽  
Cement Grinding ◽  
Grinding System ◽  
High Energy Consumption

In cement industry, many grinding up systems are on operating now. The tradition process of tube mill grinding system is high energy consumption, so it’s low efficiency, especially in the final cement grinding process. The value and advantage of slag is recognized more and more, but it’s difficult to be grinded up. Furthermore, the disadvantage and shortages to grind up clinker compounded with slag to produce cement are obvious and adopted. The best process is to grind up slag, clinker separately. Then, these two kinds of powder are compounded by a mixer. Hereby, it introduces a design of the process to grind up clinker, slag by one roller mill.

Modelling, Simulation and Evaluation of Control Loops for a Cement Grinding Process

1999 ◽  
Vol 5 (1) ◽  
pp. 10-18 ◽  
Author(s):  
M. Boulvin ◽  
C. Renotte ◽  
A. Vande Wouwer ◽  
M. Remy ◽  
S. Tarasiewicz ◽  
...  
Keyword(s):  
Grinding Process ◽  
Control Loops ◽  
Simulation And Evaluation ◽  
Cement Grinding ◽  
Modelling Simulation

Cemexpert: An Expert System for the Cement Grinding Process

1987 ◽  
Vol 20 (5) ◽  
pp. 157-162
Author(s):  
L. Keviczky ◽  
Cs. Bányász ◽  
R. Haber ◽  
M. Hilger
Keyword(s):  
Expert System ◽  
Grinding Process ◽  
Cement Grinding

scholarly journals Predictive Controller Design for a Cement Ball Mill Grinding Process under Larger Heterogeneities in Clinker Using State-Space Models

Designs ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 36
Author(s):  
Sivanandam Venkatesh ◽  
Kannan Ramkumar ◽  
Rengarajan Amirtharajan
Keyword(s):  
Product Quality ◽  
State Space ◽  
Real Time ◽  
Controller Design ◽  
State Space Model ◽  
Grinding Process ◽  
Process Industries ◽  
Viable Solution ◽  
Predictive Controller ◽  
Cement Grinding

Chemical process industries are running under severe constraints, and it is essential to maintain the end-product quality under disturbances. Maintaining the product quality in the cement grinding process in the presence of clinker heterogeneity is a challenging task. The model predictive controller (MPC) poses a viable solution to handle the variability. This paper addresses the design of predictive controller for the cement grinding process using the state-space model and the implementation of this industrially prevalent predictive controller in a real-time cement plant simulator. The real-time simulator provides a realistic environment for testing the controllers. Both the designed state-space predictive controller (SSMPC) in this work and the generalised predictive controller (GPC) are tested in an industrially recognized real-time simulator ECS/CEMulator available at FLSmidthPvt. Ltd., Chennai, by introducing a grindability factor from 33 to 27 (the lower the grindability factor, the harder the clinker) to the clinkers. Both the predictive controllers can maintain product quality for the hardest clinkers, whereas the existing controller maintains the product quality only up to the grindability factor of 30.

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