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Journal articles on the topic 'Kilns, Rotary – Control'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Urbano, José, Jorge Henriquez, Alvaro Ochoa, Ana Primo, and Breno Souza. "Dynamic modeling of the heat transfer process in rotary kilns with indirect oil heating: Parametric analysis of gypsum calcination case." Thermal Science, no. 00 (2021): 245. http://dx.doi.org/10.2298/tsci210523245u.

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This work proposes a mathematical modeling and numerical simulation of a gypsum rotary kiln with indirect oil heating in a three-dimensional transient regime. The mathematical model was based on Fourier's Law as a constitutive relationship and the principle of energy conservation, applied to a control volume in cylindrical coordinates. Furthermore, a bed homogenization model was used to represent the most realistic condition of the physical phenomenon since some rotary kilns have internal fins that aim at homogenizing the gypsum temperature during calcination. This work intends to fill the gap

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2

Lin, Chaoqun, Zhengming Yi, and Zhiwei Jiang. "An alumina rotary kiln monitoring system based on flame image processing." Transactions of the Institute of Measurement and Control 41, no. 10 (2018): 2764–71. http://dx.doi.org/10.1177/0142331218810085.

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In order to monitor the combustion condition and improve the product material quality, a digital image acquisition and processing method is adopted in alumina-sintering process. Two digital properties of flame grade and material grade are obtained by image data analyzing and smooth filtering, which provide reliable reference for operational optimization and automatic control of rotary kilns. This image acquisition system improves the operation of kiln effectively and reduces the working intensity and the manufacture cost.

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3

Meher, Shibu, Puneet Choudhary, Vijay Surya Vempati, Brahma Deo, and Partho Chattopadhyay. "Dynamic quality prediction and control in rotary sponge iron kilns." IOP Conference Series: Materials Science and Engineering 872 (June 27, 2020): 012077. http://dx.doi.org/10.1088/1757-899x/872/1/012077.

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4

Yao, Jing, and Qi Liang Du. "A Simple Data Acquisition Software for Serial Devices Based on Excel VBA and its Application in Rotary Kilns." Advanced Materials Research 591-593 (November 2012): 1638–44. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1638.

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In order to collect field data of rotary kilns for detailed analysis before automatic control system were designed and implemented, a simple data acquisition software for serial devices on the basis of Excel VBA was introduced in this paper. The serial communication module was coded with MSComm control. Data were presented both in tables and curves by the charting tools of Excel. A modified 53H algorithm was presented for online abnormal value detection while several data filtering functions were provided. Organized workbooks and worksheets were used as storage structures rather than a databas

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5

Шухин, В. В., М. С. Насуханов, and М. С. Бараев. "MODELING A CLINKER FURNACE MONITORING SYSTEM." Вестник ГГНТУ. Технические науки, no. 3(21) (December 14, 2020): 12–18. http://dx.doi.org/10.34708/gstou.2020.95.80.002.

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Вращающиеся печи используются для преобразования кальцинированной сырьевой смеси в цементный клинкер. В этой статье рассматривается система контроля и управления клинкерной вращающейся печью посредством трехмерной модели для моделирования ключевых процессов, происходящих в твердом слое клинкерных печей. Эта система опирается на математическую модель, состоящую из пяти операционных уровней: три слоя для мониторинга состояния печи и два для ее системы управления. Изменение высоты слоя и образование расплава в горячей зоне внутри печи были учтены. Энергетический баланс (включая кондуктивный, конв

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6

Küssel, U., M. Reiter, D. Abel, M. Schumacher, and M. Weng. "Observer-Based Model Predictive Control of Rotary Kilns - Application to Limestone Calcination." IFAC Proceedings Volumes 43, no. 1 (2010): 309–14. http://dx.doi.org/10.3182/20100329-3-pt-3006.00056.

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7

Dontsova, T. V., K. G. Kozulin, T. V. Piskazhova, and G. B. Danykina. "Simulation of the Control System of the Coke Calcination in Tubular Rotary Kilns." Russian Metallurgy (Metally) 2020, no. 13 (2020): 1600–1606. http://dx.doi.org/10.1134/s0036029520130091.

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8

Vattanapuripakorn, Wenich, Khomson Khannam, Sathapon Sonsupap, Umakorn Tongsantia, Jiradanai Sarasamkan, and Bopit Bubphachot. "Treatment of Flue Gas from an Infectious Waste Incinerator using the Ozone System." Environment and Natural Resources Journal 19, no. 5 (2021): 348–57. http://dx.doi.org/10.32526/ennrj/19/2020282.

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Recently, levels of air pollution caused by exhaust gases from infectious waste combustion have been rising at a startling rate. Pollutant gases such as carbon monoxide (CO) and nitrogen dioxide (NO2) have numerous health implications when unsafe amounts are released into the atmosphere. Thus, Pollution Control Systems (PCS) and Gas Cleaner Systems (GCS) play an important role in industries and the monitoring of incinerators. This research evaluated the GCS of rotary kilns in medical facilities located in the Northeast of Thailand. Data was collected from various sites, analyzed, and examined.

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9

Szatvanyi, G., C. Duchesne, and G. Bartolacci. "Multivariate Image Analysis of Flames for Product Quality and Combustion Control in Rotary Kilns." Industrial & Engineering Chemistry Research 45, no. 13 (2006): 4706–15. http://dx.doi.org/10.1021/ie051336q.

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10

Witt, Peter J., Matthew D. Sinnott, Paul W. Cleary, and M. Philip Schwarz. "A hierarchical simulation methodology for rotary kilns including granular flow and heat transfer." Minerals Engineering 119 (April 2018): 244–62. http://dx.doi.org/10.1016/j.mineng.2018.01.035.

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11

Li, Tao, Zhenting Zhang, and Hua Chen. "Predicting the combustion state of rotary kilns using a Convolutional Recurrent Neural Network." Journal of Process Control 84 (December 2019): 207–14. http://dx.doi.org/10.1016/j.jprocont.2019.10.009.

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12

LI, HENG LONG, and PANOS PAPALAMBROS. "A CONTRIBUTION TO THE OPTIMAL DESIGN OF RIDE-RINGS FOR INDUSTRIAL ROTARY KILNS." Engineering Optimization 8, no. 3 (1985): 207–21. http://dx.doi.org/10.1080/03052158508902490.

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13

Pham, Duc-Son, John Ridley, and Mihai Lazarescu. "An Efficient Feature Extraction Method for the Detection of Material Rings in Rotary Kilns." IEEE Transactions on Industrial Informatics 16, no. 9 (2020): 5914–23. http://dx.doi.org/10.1109/tii.2020.2965996.

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14

Sharikov, Yu V., F. Yu Sharikov, and O. V. Titov. "Optimal control of annealing during the preparation of aluminum hydroxide and cement clinker in tubular rotary kilns." Theoretical Foundations of Chemical Engineering 51, no. 4 (2017): 503–7. http://dx.doi.org/10.1134/s0040579517030125.

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15

Gonzalez, Luis M., and Joaquim J. B. Romero. "Solids Movement in Rotary Kilns in the Slumping Regime: Model Using a Control Plane Parallel to the Steepest Descent." Particle & Particle Systems Characterization 22, no. 2 (2005): 119–32. http://dx.doi.org/10.1002/ppsc.200400964.

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16

Stone, Nigel A., Wayne Wright, Marty O'Byrne, and Stuart Bow. "Novel Refractory Development for Synthetic Rutile Manufacture via the Becher Process." Advances in Science and Technology 70 (October 2010): 91–101. http://dx.doi.org/10.4028/www.scientific.net/ast.70.91.

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Australia is fortunate in that it has ~80,760 kt (Ti equivalent) representing 15% of the world’s titanium resources in the form of ilmenite, rutile, anatase and leucoxene. Although of late the annual quantity of mined material has reduced due to the global financial situation, the average amount of material mined was of the order of 700 kt (Ti eq). To date the most common process used for beneficiating the ilmenite in Australia has been the Becher process to produce synthetic rutile of the order of 92-96% TiO2. Due to the nature of the mineralogy of the deposits, a very small amount of natural

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17

Timofeev, S., D. Gavrilov, Vladislav Khurtasenko, and M. Voronkova. "NEW MODEL OF MACHINE FOR PROCESSING SURFACES OF LARGE-SIZED PARTS HAVING THE SHAPE OF BODIES OF ROTATION." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 6, no. 8 (2021): 94–100. http://dx.doi.org/10.34031/2071-7318-2021-6-8-94-100.

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During long-term operation of rotating parts of technological machines, which include tires and support rollers of rotary kilns, rolling surfaces lose their shape accuracy and quality. Built-in machine modules are used to restore large-sized parts in the form of bodies of revolution. Such repair work requires special technological approaches and careful preparation before starting. It is necessary to take into account the real geometry of the surface of the part being repaired, which may have shape errors in the longitudinal and cross section due to wear, and conduct a preliminary analysis of

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18

Shi, Xian Hong, Qing Jin Meng, Xiao Ming Li, Zheng Zheng, Xiao Yan Ma, and Qi Long Ma. "Matlab Simulation of System with Fuzzy Control in Kiln Temperature." Applied Mechanics and Materials 631-632 (September 2014): 680–83. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.680.

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Temperature control requires a lot of control regulator. It has wide applications in cement, metallurgy and other industrial fields. The key equipment in metallurgy , cement, refractory materials production is Rotary kiln, of which temperature is one of the important parameters of process control .The kiln of calcination temperature in rotary kiln is an important factor affecting the quality and output of the kiln, and even cause the collapse of the kiln, affecting the normal operation of production. Based on the analysis for several important factors affecting the kiln temperature, the paper

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19

Bojja, Polaiah, and N. Merrin Prasanna. "Development of Mathematical Model of Rotary Kiln which are used for Design Conventional Control Systems." International Journal of Engineering & Technology 7, no. 3.12 (2018): 1182. http://dx.doi.org/10.14419/ijet.v7i3.12.17783.

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The main aim of the work is used to develop the mathematical model which are used to design conventional control system for the real time cement plant to control several variables of a cement rotary kiln in the plant. A cement rotary kiln is a non linear distributed process which has a highly complex dynamic behavior due to chemical reaction, development of a system to understand the behavior of a kiln process as mathematical model based on control scheme for cement rotary kiln processes. However , the variables are back-end temperature,pre heater temperature, oxygen content and CO2 gas conten

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20

Akalp, Murat, and Roland Longchamp. "Control of a Rotary Cement Kiln." IFAC Proceedings Volumes 25, no. 8 (1992): 243–50. http://dx.doi.org/10.1016/s1474-6670(17)54070-7.

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21

Zhongda, Tian, Li Shujiang, Wang Yanhong, and Wang Xiangdong. "SVM predictive control for calcination zone temperature in lime rotary kiln with improved PSO algorithm." Transactions of the Institute of Measurement and Control 40, no. 10 (2017): 3134–46. http://dx.doi.org/10.1177/0142331217716983.

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To improve the control performance of calcination zone temperature in a lime rotary kiln, a predictive control method based on a support vector machine (SVM) and improved particle swarm optimization (PSO) algorithm is proposed. As high-temperature thermal equipment, the lime rotary kiln requires accurate modelling because of its complex non-linearity and long delay characteristics. SVM has strong normalization and good learning ability compared with other modelling models such as neural network, partial least squares model and other non-linear regression models, which can avoid overfitting and

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22

Zhang, Li, Song Wang, and Guo Jun Su. "Intelligence Predictive Control Study on Lime Rotary Kiln Temperature." Applied Mechanics and Materials 385-386 (August 2013): 848–51. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.848.

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For the non-linearity, large time lag characters of rotary kiln, we use intelligent predictive control method to control it. The prediction model, scrolling optimization and feedback adjustment are ultimate constituted the predictive control system each part. Gas flow measurement is used to realize rotary kiln`s temperature predictive control,and took NN-Model as prediction model to realize the intelligent forecast. The results of simulation show that this method has better stability and robustness than the traditional control method.

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23

Stadler, Konrad S., Jan Poland, and Eduardo Gallestey. "Model predictive control of a rotary cement kiln." Control Engineering Practice 19, no. 1 (2011): 1–9. http://dx.doi.org/10.1016/j.conengprac.2010.08.004.

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24

Galitskov, Stanislav, Konstantin Galitskov, Oleg Samokhvalov, and Aleksandr Fadeev. "Optimal control of ceramsite burning in a rotary kiln." MATEC Web of Conferences 86 (2016): 04009. http://dx.doi.org/10.1051/matecconf/20168604009.

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25

Nial, Mohamed, Larbi Loukarfi, and Hassane Naji. "Aerodynamic control of a diffusion flame to optimize materials' transition in a rotary cement kiln." Mechanics & Industry 21, no. 4 (2020): 414. http://dx.doi.org/10.1051/meca/2020043.

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The aim of this work is to deepen the understanding of the aerodynamics of a diffusion flame in a rotary cement kiln. The kiln is a rotary with a cylindrical shaped, long and equipped with a burner, and it is the seat of a diffusion flame with an axisymmetric turbulent jet. The kiln has a capacity of 8,000 Nm3 to 13,000 Nm3 of natural gas and primary air at T = 25 °C which interacts with a secondary hot air volume at T = 800 °C. The aerodynamic modelling of the furnace is achieved using the turbulence model RNG k–ε, which is able to handle the turbulence and capture the vortex shedding process

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26

Meister, A., and J. D. Marcuard. "Application of Hierarchical Adaptive Control to a Rotary Cement Kiln." IFAC Proceedings Volumes 20, no. 5 (1987): 163–68. http://dx.doi.org/10.1016/s1474-6670(17)55434-8.

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27

Liu, Weixing, Liyan Zhang, Jiahao Wang, Yiming Yang, Jie Li, and Zhijie Zhang. "Pellet Roasting Management System Based on Deep Learning and Internet of Things." Complexity 2021 (April 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/6631735.

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Pellet is widely used in blast furnace ironmaking. Pellet quality affects the effect of ironmaking, the existing control system of grating-rotary kiln mainly adopts manual control mode, and the quality of pellet production largely depends on the experience, fatigue, and sense of responsibility of the site operators. The use of the Internet of things (IoT) technology in the integration and improvement of enterprise information level, to achieve fine, intelligent production management, at the same time, is conducive to promoting steel enterprises to reduce costs and increase efficiency, energy c

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28

DOUSTARI, M. A., H. NAKAMINE, N. SANNOMIYA, K. WATANABE, and K. SHINMURA. "An autoregressive model for a rotary cement kiln." International Journal of Systems Science 24, no. 11 (1993): 2187–97. http://dx.doi.org/10.1080/00207729308949620.

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29

Xue, Zeng Tao, and Zheng Li. "Application of Fuzzy Neural Network Controller for Cement Rotary Kiln Control System." Advanced Materials Research 457-458 (January 2012): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.531.

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This paper presents the design and application of fuzzy neural network control system for the rotary cement kiln system. Due to the dynamic characteristics and reaction process parameters are with features of large inertia, pure hysteresis, nonlinearity and strong coupling, the fuzzy neural network controller combining both the advantages of neural network and fuzzy control was applied. The fuzzy neural network is an adaptive control process whose parameters can be adjusted by learning algorithms automatically which is aimed to eliminate the shortcomings of conventional control methods. The ma

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30

Marcuard, J. D., and A. Meister. "Application of Modern Numerical Control to an Industrial Rotary Cement Kiln." IFAC Proceedings Volumes 20, no. 4 (1987): 107–12. http://dx.doi.org/10.1016/s1474-6670(17)55838-3.

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31

Yang, Yongxiang, and Markus A. Reuter. "CFD Modelling for Control of a Chemical Waste Rotary Kiln Incinerator." IFAC Proceedings Volumes 34, no. 18 (2001): 403–8. http://dx.doi.org/10.1016/s1474-6670(17)33241-x.

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32

Aros, Nelson, Graciela I. Suarez, and Oscar A. Ortiz. "REGULATORY CONTROL OF A PILOT ROTARY KILN FOR ACTIVATED CARBON PRODUCTION." IFAC Proceedings Volumes 39, no. 2 (2006): 457–62. http://dx.doi.org/10.3182/20060402-4-br-2902.00457.

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33

Prasanna, N. Merrin, and Polaiah Bojja. "Optimization of Rotary Kiln in Cement Industry Using Conventional Control Systems." HELIX 9, no. 1 (2019): 4843–49. http://dx.doi.org/10.29042/2019-4843-4849.

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34

Park, S. I., N. H. Kyong, Y. J. Park, and S. K. Lee. "Numerical simulation to control rotary-kiln incineration of municipal solid waste." Energy 19, no. 2 (1994): 179–86. http://dx.doi.org/10.1016/0360-5442(94)90058-2.

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35

Teja, Ravi, P. Sridhar, and M. Guruprasath. "Control and Optimization of a Triple String Rotary Cement Kiln using Model Predictive Control." IFAC-PapersOnLine 49, no. 1 (2016): 748–53. http://dx.doi.org/10.1016/j.ifacol.2016.03.146.

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36

Carr, C. K. "From DC to AC [rotary lime kiln conversion]." IEEE Industry Applications Magazine 9, no. 4 (2003): 13–21. http://dx.doi.org/10.1109/mia.2003.1206912.

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37

Khannam, Khomson, Wenich Vattanapuripakorn, Sathapon Sonsupap, Jiradanai Sarasamkan, Umakorn Tongsantia, and Bopit Bubphachot. "Treatment of Infectious Waste through the Application Rotary Kiln Incinerators and Ozone Technology." Applied System Innovation 4, no. 4 (2021): 71. http://dx.doi.org/10.3390/asi4040071.

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The alarming rate at which infectious waste is growing was an unsolved problem worldwide before the pandemic, and it has only gotten worse. It is especially prominent in the medical services, owing to the improper use or the lack of high-efficiency waste management systems. To address this issue, this paper presents a modification to the conventional rotary kiln incineration method using add-on ozone (O3) at a concentration of 100–160 g/h in order to enhance its efficiency when treating emitted air pollutants. These pollutants of Hg, HF, TSP, SO2, NO2, CO, and HCl were measured, and their perc

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38

Xue, Zeng Tao, and Zheng Li. "Application of Fuzzy Neural Network Controller for Cement Rotary Kiln Control System." Advanced Materials Research 457-458 (January 2012): 531–35. http://dx.doi.org/10.4028/scientific5/amr.457-458.531.

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39

Machalek, Derek, and Kody M. Powell. "Model predictive control of a rotary kiln for fast electric demand response." Minerals Engineering 144 (December 2019): 106021. http://dx.doi.org/10.1016/j.mineng.2019.106021.

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40

Agwa, Ibrahim Saad, and Omar Mohamed Omar Ibrahim. "Fresh and hardened properties of self-compacting concrete containing of cement kiln dust." Challenge Journal of Concrete Research Letters 10, no. 1 (2019): 13. http://dx.doi.org/10.20528/cjcrl.2019.01.003.

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There are many wastes form the cement industry among them cement kiln dust (CKD). This residue is obtained after the process of burning the raw materials of cement in the rotary kiln where it is suctioned by fans during the clinker exit of the rotary kiln. Cement dust is a major environmental and economic problem in terms of high quality air pollution ranging from (20-100) microns and the proportions of chlorides, sulphates, alkali and lime living in a way that threatens the general health of human, as well as water pollution if the waste is discharged by rivers and waterways. This investigati

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41

Chen, Zuo Bing, Fang Ye, and Chao Gao. "Numerical Simulation of NSP Cement NOx Formation and Control Technology." Advanced Materials Research 356-360 (October 2011): 1605–8. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.1605.

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In this paper, in considering the influence of interaction and material decomposition, the generation of NOx inside the rotary kiln and precalciner, which are the main NOx emission equipments in cement production process, are simulated by CFD technology, and the results is tally with the actual situation. This shows that numerical simulation can be a very good guidance on NOx emission reduction technology and staged-combustion precalciner structure design, and we can design and optimize the NOx emission reduction scheme based on numerical simulation to achieve the purpose of reducing NOx pollu

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42

Zermane, Hanane, and Hayet Mouss. "Internet and Fuzzy Based Control System for Rotary Kiln in Cement Manufacturing Plant." International Journal of Computational Intelligence Systems 10, no. 1 (2017): 835. http://dx.doi.org/10.2991/ijcis.2017.10.1.56.

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43

Järvensivu, Mika, Esko Juuso, and Olli Ahava. "Intelligent control of a rotary kiln fired with producer gas generated from biomass." Engineering Applications of Artificial Intelligence 14, no. 5 (2001): 629–53. http://dx.doi.org/10.1016/s0952-1976(01)00033-1.

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44

Parham, J. J., G. J. Nathan, J. P. Smart, B. G. Jenkins, and R. E. Luxton. "Control of Heat Flux Profiles from Rotary Kiln Burners by Modification of Mixing." Developments in Chemical Engineering and Mineral Processing 7, no. 3-4 (2008): 333–44. http://dx.doi.org/10.1002/apj.5500070306.

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45

Zhang, Li, Chengjin Zhang, Qingyang Xu, and Chaoyang Wang. "Modelling of Lime Kiln Using Subspace Method with New Order Selection Criterion." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/816831.

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This paper is taking actual control demand of rotary kiln as background and builds a calcining belt state space model using PO-Moesp subspace method. A novel order-delay double parameters error criterion (ODC) is presented to reduce the modeling order. The proposed subspace order identification method takes into account the influence of order and delay on model error criterion simultaneously. For the introduction of the delay factors, the order is reduced dramatically in the system modeling. Also, in the data processing part sliding-window method is adopted for stripping delay factor from hist

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46

GALITsKOV, S. Ya, and A. S. FADEEV. "ASSESSMENT OF DECREASE IN ENERGY CONSUMPTION ON PRODUCTION EXPANDED CLAY WHEN USING ALGORITHM OF THE COORDINATED MANAGEMENT BY THE FURNACE." Urban construction and architecture 3, no. 4 (2013): 95–98. http://dx.doi.org/10.17673/vestnik.2013.04.16.

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Presents the results of the analysis of eﬃciency of application of the harmonized automatic control modes of operation of the burner and the drive boot the rotary kiln for firing of expanded clay. On the example of the furnace size of 40 m, in which fired raw clay smushlaevsks Deposit, the possibility to reduce energy consumption for production of 1 m 3 of expanded clay 11-to 15 %.

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47

Wurzinger, A., H. Leibinger, S. Jakubek, and M. Kozek. "Data driven modeling and nonlinear model predictive control design for a rotary cement kiln." IFAC-PapersOnLine 52, no. 16 (2019): 759–64. http://dx.doi.org/10.1016/j.ifacol.2019.12.054.

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48

Zhang, Li, and Xian-wen Gao. "Approach of Synthesizing Model Predictive Control and Its Applications for Rotary Kiln Calcination Process." Journal of Iron and Steel Research International 20, no. 8 (2013): 14–19. http://dx.doi.org/10.1016/s1006-706x(13)60135-1.

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49

Zhang, Jianjun. "Application of Improved Fuzzy-Smith Controller in the Control System of Cement Rotary Kiln." IOP Conference Series: Materials Science and Engineering 569 (August 9, 2019): 042013. http://dx.doi.org/10.1088/1757-899x/569/4/042013.

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50

Cui, Wen-Hua, Jie-Sheng Wang, Chen-Xu Ning, and Xiu-Dong Ren. "Advanced Control Method of Rotary Kiln Pellet Sintering Process Based on Operation Pattern Optimization." Journal of Chemical Engineering of Japan 49, no. 4 (2016): 350–56. http://dx.doi.org/10.1252/jcej.14we309.

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