H. Take, J. W. Kim
Mould fluxes play a critical role in continuous casting of steel, which was once perceived as a mysterious area with limited scientific understanding. This study aims to elucidate the functions and performance of mould fluxes, particularly focusing on their roles in providing thermal insulation and lubrication for the steel shell during the casting process. The methodology involves analyzing the physical properties of mould fluxes, including viscosity at elevated temperatures, percentage of crystalline phase in the slag film, and the thickness of liquid and solid slag layers. Experimental results indicate that these properties significantly influence the performance of the mould flux. Findings suggest that optimal mould flux performance is achieved through a careful balance of these parameters, enhancing the efficiency and quality of the continuous casting process. The study contributes to a deeper understanding of the operational principles behind mould fluxes, which is essential for advancing methods in steel production. This research highlights the vital functions of mould fluxes in protecting molten steel from oxidation while facilitating efficient heat transfer and lubrication during the casting process.
@article{f30502a2-897c-4d51-b0fa-fe1d73b8a70f,
title={Mould flux performance in continuous casting of steel},
author={H. Take and J. W. Kim},
year={2003},
language={en}
}TY - JOUR TI - Mould flux performance in continuous casting of steel AU - H. Take AU - J. W. Kim PY - 2003 LA - en ER -
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati