Marc Dupuis, Imad Tabsh
A program was developed to model the steady state behavior of an aluminum reduction cell. The program simulates the electrolytic process by solving the heat and mass balance equations that characterizes the behavior of eleven chemical species in the system. The steady state convergence scheme has been designed in such a way that it can solve for any of the 18 main parameters having defined the 17 others. Furthermore, those 17 parameters can be defined using probability functions. As a result, the output parameter will also be presented in the form of a probability function. The program is a PC based Windows® application that takes full advantage of the Windows user interface. This paper describes the implementation of that model and also presents examples of practical applications.
@article{050fbe42-d9fd-460a-82c0-b0b102b1f0dc,
title={USING A STEADY STATE MODEL OF AN ALUMINUM REDUCTION CELL TO INVESTIGATE THE IMPACT OF DESIGN CHANGES},
author={Marc Dupuis and Imad Tabsh},
year={1994},
language={en}
}TY - JOUR TI - USING A STEADY STATE MODEL OF AN ALUMINUM REDUCTION CELL TO INVESTIGATE THE IMPACT OF DESIGN CHANGES AU - Marc Dupuis AU - Imad Tabsh PY - 1994 LA - en ER -
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
Msc. Shaymaa Mahmood
The evolution of mankind has been marked by the ability to utilize and develop various materials to meet human needs. This paper explores the signific
John Doe, Jane Smith
This work provides a comprehensive introductory treatment of mineral processing with a strong emphasis on the practical design and operation of benefi
This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data