Identification of Coating Thickness in Cement Rotary Kiln

Document Type : Research Article

Authors

Faculty of Engineering, University of Zanjan, Zanjan, I.R. IRAN

Abstract

The cement industry is one of the major industries in every country. This industry is the driving force behind the development of a nation. The heart of this industry is the rotary kiln. One of the significant concerns about a rotary kiln is forming a cover of molten materials on the kiln's inner wall called coating. The low thickness of this coating cause burns to the wall refractory bricks and heavy damage to the kiln, while its high thickness reduces the production volume and quality of products. Currently, the kilns are checked by experienced technicians for empirical coating estimation. This paper aims to identify the thickness of the coating for the automatic control purpose of the kiln. The identification problem of coating thickness is based on thermal resistances in different layers of the kiln and heat transfer equations between these layers. For this purpose, linear and nonlinear identification methods such as Ordinary Least Squares (OLS), Recursive Least Squares (RLS), global search methods, and genetic algorithms are used. The coating can be identified in the proposed identification approach by having the kiln's ambient and internal solid temperature profiles. The raw data for the identification process has been extracted by Finite Element Analysis (FEA)  for a given solid temperature profile along with the kiln and different kiln coating thicknesses. The modeling and simulations carried out in this paper show that the identification methods were able to determine the amount of coating with acceptable errors depending on the method.

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References

[1] Bokaiian M., “Refractory Materials in Rotary Kilns, Eng. Handbook”, [Persian ed]., Training Department of Abyek Cement Industrial Complex, Iran, (1993).
[2] Bentaieb N., Benarima Z.A., Belaadi S., Calorimetric and Thermal Analysis Studies on the Influence of Coal on Cement Paste Hydration, Iran. J. Chem. Chem. Eng. (IJCCE), 39: 237-244 (2020).
[3] Spang H., A Dynamic Model of Cement Kiln, Automatica, 8: 309-323 (1972).
[4] Gorog J.P., Adams T.N., Brimacombe J.K., Regenerative Heat Transfer in Rotary Kilns, Metall. Trans. B, 13: 153-163 (1982).
[5] Darabi P., "A Mathematical Model for Cement Kilns", MSc. Thesis, The University of British  Columbia, Vancouver, (2007).
[6] Goshayeshi H.R., Kerdarpoor F., Modeling of Rotary Kiln in Cement Industry, Iranian J. of Energy, 19: 23 (2016).
[7] Shahriari K., Tarasiewicz S., Modelling of a Clinker Rotary Kiln Using Operating Functions Concept, The Canadian J. of Chem. Eng., 89: 345 (2011).
[8] Gu C., Yuan Z., Sun S., Guan L., Wu K., Simulation Investigation of Drying Characteristics of Wet Filamentous Biomass Particles in a Rotary Kiln, Fuel Processing Technology, 178: 344 (2018).
[9] Ramanenka D., Gustafsson G., Jonsén P., Influence of Heating and Cooling Rate on the Stress State of the Brick Lining in a Rotary Kiln Using Finite Element Simulations, Engineering Failure Analysis, 105: 98-109 (2019).
[10] Noshiravani G., Shirvani M., Mamani J.A., Nourzadeh H., Coating Thickness Estimation in Rotary Cement Kiln by Using Shell Temperature Measurements and Kiln Modeling, Zement  Kalk  Gibs (ZKG) mag., (2013).
[11] Sadighi S., Shirvani M., Ahmad A., Rotary Cement Kiln Coating Estimator: Integrated Modelling of Kiln with Shell Temperature Measurement, Can. J. Chem. Eng., 89: 116-125 (2011).
[12] Al-Yasiri A.J.K., Muhammed M.A., Estimating the Thickness of Coating in the Burning Zone of Cement Kiln Including the Aging Factor, Iraqi J. for Mech. and Mat. Eng., 12: 545-563 (2012).
[13] Ravindran J., Krishnan S., “Studies on Thermal Analysis of Cement Rotary Kiln Based on Clinker Coating Materials on Refractories”, Energy and Monetary Savings, Presented at Int. Cong. on Recent Development in Engineering and Technology (RDET-16), Kuala Lumpur, August (2016).
[14] Singh R.S., Prasad D., Srivasrav A., Pandey D., Kumar M., System Identification and Design of Inverted Decoupling IMC PID Controller for Non-minimum phase Quadruple Tank Process, Research Note, Iran. J. Chem. Chem. Eng. (IJCCE), 40(3): 990-1000 (2020).
[15] Nejati A., Shahrokhi M., Mehrabani A., Adaptive Input-Output Linearization Control of pH Processes, Iran. J. Chem. Chem. Eng., 27(3): 25-35 (2008).
[16] Norton J.P., “An Introduction to Identification”, Academic Press, 310 (1986).

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