scholarly journals ANALYSIS OF MATHEMATICAL CONTROL MODELS OF COKE QUALITY PARAMETERS М25 AND М10 APPLIED AT RUSSIAN METALLURGICAL COKE PRODUCTION ENTERPRISES

2018 ◽  
Vol 22 (2) ◽  
pp. 166-181
Author(s):  
Andrei Smirnov ◽  
◽  
Danil Alekseev ◽  
Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shaohong Yan ◽  
Hailong Zhao ◽  
Liangxu Liu ◽  
Qiaozhi Sang ◽  
Peng Chen ◽  
...  

Coke is an indispensable and vital flue for blast furnace smelting, during which it plays a key role as a reducing agent, heat source, and support skeleton. Models of prediction of coke quality based on ANN are established to map the functional relationship between quality parameters Mt, Ad, Vdaf, St,d, and caking property (X, Y, and G) of mixed coal and quality parameters Ad, St,d, coke reactivity index (CRI), and coke strength after reaction (CSR) of coke. A regularized network training method based on Sigmoid function is designed considering that redundancy of network structure may lead to the learning of undesired noise, in which weights having little impact on performance and leading to overfitting are removed in terms of computational complexity and training errors. The cascade forward neural network with validation is found to be the most suitable one for coke quality prediction, with errors around 5%, followed by feedforward neural network structure and radial basis neural networks. The cascade forward neural network may play a guiding role during the coke production.


2007 ◽  
Vol 1 (2) ◽  
pp. 91-96
Author(s):  
Yevgen Kovalov ◽  

This research displays the state of metallurgical coke production in Ukrainew with special attention to the raw material base for production of coke and its quality. Besides the following essay deals with the detailed analysis of preparation methods of coal charge for coking, including thermal treatment and stamp charging and formulates the main ways of upgrading coke quality considering the rational technology of coking.


2020 ◽  
Vol 117 (6) ◽  
pp. 617
Author(s):  
Rupak Ranjan ◽  
H.P. Tiwari ◽  
P.K. Srivastava ◽  
Mansingh S. Raghuwanshi ◽  
Ashwani Kumar Jaiswal ◽  
...  

In recent past, Jindal Steel & Power Limited, Raigarh unit, has increased the hot metal production capacity by the renovation of the existing blast furnaces. Therefore, the blast furnace coke demand has increased. This excess demand for metallurgical coke production from the existing non-recovery stamp charge coke oven plant was a very tough challenge, because the coke oven plant was already running at rated production capacity. Therefore, to fulfill the requirement of excess coke and to deliver more value to the customers, several initiatives have been taken by the Coke Oven and Technical Services Department within the existing setup. Few approaches had been adopted to increase the productivity of coke by ∼20% without deteriorating the resultant coke quality. This paper describes in details the steps taken to enhance the productivity of non-recovery stamp charge coke oven plant.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3401
Author(s):  
Michał Rejdak ◽  
Andrzej Strugała ◽  
Aleksander Sobolewski

Coke is an integral component of the blast furnace charge; therefore, it plays an important role in the integrated steelmaking process. Achieving the required coke quality parameters by producers requires the use of a high proportion of the highest quality coking coals (hard coking coals) in the coking blends, which significantly increases the unit production costs. Approximately 75% of these costs are constituted by the cost of the coal blend’s preparation. There is a deficit in the best quality coking coals on the world market and their supply are characterized by large fluctuations in quality parameters. Therefore, from the point of view of the economics of coke production, it is advantageous to produce high-quality coke from a coke blend with the highest possible content of cheaper coals. The paper presents the results of the influence of coal charge bulk density and semi-soft coking coal content in the coking blend on the textural and structural parameters of coke, which determine its quality. Research has shown that the application of increased density influences the parameters of the texture and structure of the coke, which shape its quality parameters. The use of stamp-charging technology contributes to the improvement of the coke quality or enables the production of coke of a predetermined quality from blends containing cheaper semi-soft coals.


Author(s):  
Yu. A. Zolotukhin ◽  
N. S. Andreichikov ◽  
A. Ya. Eremin ◽  
T. F. Kraskovskaya ◽  
V. V. Kuprygin

Coal raw material base of coking is the main factor characterizing the quality of coke. Therefore, it is very important to know technological properties and peculiarities of coals behavior in a charge during coking process for coals charge batching and coke quality control. One of the priority directions in study coals and charges is petrographic and reflectogram analysis, which enable to obtain data related to evaluation genuine (one-valued) technological properties of coals, coal blends and charges at production of coke of required quality. Using a broad material of study, including the one carried out by the authors of the article, a wide range of application of reflectogram analysis of coals, coals blends and charges in the coking production was shown. It was demonstrated also that application of the analysis enabled to exclude the problem of “twins”, to define the degree of genetic coals recoverability and coals grades or types relation in the mixtures for the coking. Based on the elaborated by the authors reflectogram criteria of charges for coking, a strategy of coals batching was proposed, which ensures production of metallurgical coke of required and high quality and safe running of coke ovens. Based on wide experimental studies of plastic-tough properties of coal charges, porosity of coke, its X-ray structure characteristics, strength and reaction ability, theoretical ideas were formed about mechanism of interaction in a charge of petrographically nonuniform coals comprising it during coking process, by using the proposed by the authors indices of coals nonuniformity. The indices of coals, comprising the charge, nonuniformity, differ by metamorphism degree (σR) and petrographic composition (σСК), explaining regularities of forming of quality of coke from the charge with participation of petrographically nonuniform coals. The package of the factors noted by the authors, revealed in the process of the study of coals, coals blends and charges, as well as quality of coke obtained from them, enabled to elaborate a complex index of charges coking ability (К.п.к.Vo), which enables to considerably simplify the mathematical model of coke quality prediction and to increase its reliability. Mathematical models of coke quality prediction were verified and implemented at several plants of Russia.


1997 ◽  
Vol 11 (2) ◽  
pp. 379-384 ◽  
Author(s):  
J. A. Menéndez ◽  
J. J. Pis ◽  
R. Alvarez ◽  
C. Barriocanal ◽  
C. S. Canga ◽  
...  

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