A machine learning and CFD modeling hybrid approach for predicting real-time heat transfer during cokemaking processes-Reference-Cited by-同舟云学术

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A machine learning and CFD modeling hybrid approach for predicting real-time heat transfer during cokemaking processes

Published:2024-10 Issue: Volume:373 Page:132273
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Zhao Pengxiang,Hui Yunze,Qiu Yuhang,Wang Mengting,Guo Shirong,Dai Baiqian^ORCID,Dou Jinxiao,Bhattacharya Sankar^ORCID,Yu Jianglong^ORCID

Publisher

Elsevier BV

Reference65 articles.

1. China’s renewable energy strategy and industrial adjustment policy;Liu;Renew Energy,2021

2. Effect of Heating Rate on Coke Quality and Productivity in Nonrecovery Coke Making;Tiwari;Int J Coal Prep Util,2014

3. Effect of temperature on coke properties and CO2 reactivity under laboratory conditions and in an experimental blast furnace;Hilding;Iron Steel Soc,2005

4. Influence of coke structure on coke quality using image analysis method;Ghosh;Int J Coal Sci Technol,2018

5. Mechanistic study of plastic layer permeability during coking of Australian metallurgical coals;Lee;Fuel,2023

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