Influence of Coking Parameters on Coke Quality: Analysis Based on Machine Learning

IF 0.4 Q4 ENGINEERING, CHEMICAL

Coke and Chemistry Pub Date : 2025-03-14 DOI:10.3103/S1068364X24601173

M. V. Shishanov, M. S. Luchkin, A. Yu. Naletov, I. S. Mezrin

引用次数: 0

Abstract

The influence of coking parameters on coke quality is investigated by means of machine learning and data analysis. A model is developed for predicting the reactivity of coke on the basis of the coking parameters; it proves highly accurate. The potential of machine learning in optimizing the coking parameters that affect coke quality is clear.

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来源期刊

Coke and Chemistry ENGINEERING, CHEMICAL-

CiteScore

0.70

自引率

50.00%

发文量

期刊介绍： The journal publishes scientific developments and applications in the field of coal beneficiation and preparation for coking, coking processes, design of coking ovens and equipment, by-product recovery, automation of technological processes, ecology and economics. It also presents indispensable information on the scientific events devoted to thermal rectification, use of smokeless coal as an energy source, and manufacture of different liquid and solid chemical products.