Aïmen E. Gheribi, Sándor Poncsák
During aluminium electrolysis, a ledge of frozen electrolytes generally forms, attached to the sides of the cells. This ledge serves as a protective layer, preventing erosion and chemical attacks of both the electrolyte melt and the liquid aluminum. This study aims to experimentally and numerically investigate the thermal conductivity of this sideledge. The methodology involves a series of experimental tests to measure the thermal properties of the sideledge material in addition to numerical modelling to simulate its behavior under different operational conditions. Experimental results demonstrate the thermal conductivity values, which are critical for optimizing the design and operation of aluminium electrolysis cells. The numerical model supports these findings by providing a comprehensive understanding of heat transfer mechanisms. Collectively, the results indicate that the thermal properties of the sideledge significantly influence the overall efficiency of the electrolysis process. The research contributes valuable insights into the key thermal characteristics of materials used in aluminium production, highlighting the importance of understanding the interactions within electrolysis cells. This knowledge enables better control of operational parameters, potentially leading to enhanced efficiency and reduced energy consumption in aluminium manufacturing processes.
@article{3801e7ff-c3fc-4129-a06c-6350bb7a92ea,
title={Thermal conductivity of the sideledge in aluminium electrolysis cells: Experiments and numerical modelling},
author={Aïmen E. Gheribi and Sándor Poncsák},
year={2017},
language={en}
}TY - JOUR TI - Thermal conductivity of the sideledge in aluminium electrolysis cells: Experiments and numerical modelling AU - Aïmen E. Gheribi AU - Sándor Poncsák PY - 2017 LA - en ER -
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
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
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
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati