Modeling of Steelmaking Processes

From the prediction of complex weather patterns to the design of swimsuits, modeling has, over the years, quietly but steadily become an essential part of almost every field and industry—and steelmaking is no exception. Factors such as visual opacity, high operating temperature, and the relatively large size of industrial reactors often preclude direct experimental observation in steel manufacturing. Therefore the industry is overwhelmingly dependent on modeling to quickly and cost-effectively provide insight into analysis, design, optimization, and control of processing. However, few, if any, books offer the adequate coverage of modeling.

Addresses Fundamental Principles of Physical and Mathematical Modeling in Steelmaking Processes

Modeling of Steelmaking Processes meets that ever-present demand and provides a solid knowledge base on which to build. With content designed to serve professionals and students, this book starts with an overview of steelmaking and develops into a focused description of underlying scientific fundamentals and applications.

This powerful learning tool:



  • Presents an overview of steelmaking, the relevance of modeling and measurements, the evolution of steelmaking, and modern technology


  • Discusses emerging issues, such as environmental emissions, recycling, and product development and quality


  • Reviews computational fluid dynamics (CFD) software


  • Analyzes mechanistic, AI-based, and macroscopic models, to provide a holistic view of steelmaking process modeling


  • Provides useful questions and problems, as well as a practice session on modeling, to reinforce understanding


Developed as a self-tutorial, this text explores thermodynamic principles, analysis of metallurgical kinetics and transport phenomena, and key numerical methods, helping readers easily navigate a generally complex subject.

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Modeling of Steelmaking Processes

From the prediction of complex weather patterns to the design of swimsuits, modeling has, over the years, quietly but steadily become an essential part of almost every field and industry—and steelmaking is no exception. Factors such as visual opacity, high operating temperature, and the relatively large size of industrial reactors often preclude direct experimental observation in steel manufacturing. Therefore the industry is overwhelmingly dependent on modeling to quickly and cost-effectively provide insight into analysis, design, optimization, and control of processing. However, few, if any, books offer the adequate coverage of modeling.

Addresses Fundamental Principles of Physical and Mathematical Modeling in Steelmaking Processes

Modeling of Steelmaking Processes meets that ever-present demand and provides a solid knowledge base on which to build. With content designed to serve professionals and students, this book starts with an overview of steelmaking and develops into a focused description of underlying scientific fundamentals and applications.

This powerful learning tool:



  • Presents an overview of steelmaking, the relevance of modeling and measurements, the evolution of steelmaking, and modern technology


  • Discusses emerging issues, such as environmental emissions, recycling, and product development and quality


  • Reviews computational fluid dynamics (CFD) software


  • Analyzes mechanistic, AI-based, and macroscopic models, to provide a holistic view of steelmaking process modeling


  • Provides useful questions and problems, as well as a practice session on modeling, to reinforce understanding


Developed as a self-tutorial, this text explores thermodynamic principles, analysis of metallurgical kinetics and transport phenomena, and key numerical methods, helping readers easily navigate a generally complex subject.

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Modeling of Steelmaking Processes

Modeling of Steelmaking Processes

Modeling of Steelmaking Processes

Modeling of Steelmaking Processes

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Overview

From the prediction of complex weather patterns to the design of swimsuits, modeling has, over the years, quietly but steadily become an essential part of almost every field and industry—and steelmaking is no exception. Factors such as visual opacity, high operating temperature, and the relatively large size of industrial reactors often preclude direct experimental observation in steel manufacturing. Therefore the industry is overwhelmingly dependent on modeling to quickly and cost-effectively provide insight into analysis, design, optimization, and control of processing. However, few, if any, books offer the adequate coverage of modeling.

Addresses Fundamental Principles of Physical and Mathematical Modeling in Steelmaking Processes

Modeling of Steelmaking Processes meets that ever-present demand and provides a solid knowledge base on which to build. With content designed to serve professionals and students, this book starts with an overview of steelmaking and develops into a focused description of underlying scientific fundamentals and applications.

This powerful learning tool:



  • Presents an overview of steelmaking, the relevance of modeling and measurements, the evolution of steelmaking, and modern technology


  • Discusses emerging issues, such as environmental emissions, recycling, and product development and quality


  • Reviews computational fluid dynamics (CFD) software


  • Analyzes mechanistic, AI-based, and macroscopic models, to provide a holistic view of steelmaking process modeling


  • Provides useful questions and problems, as well as a practice session on modeling, to reinforce understanding


Developed as a self-tutorial, this text explores thermodynamic principles, analysis of metallurgical kinetics and transport phenomena, and key numerical methods, helping readers easily navigate a generally complex subject.


Product Details

ISBN-13: 9781040062272
Publisher: CRC Press
Publication date: 08/11/2009
Sold by: Barnes & Noble
Format: eBook
Pages: 493
File size: 9 MB

About the Author

Professor Mazumdar has been teaching process modeling and steelmaking at the Indian Institute of Technology, Kanpur, India, for more than two decades. He has coauthored a book, and has written book chapters and numerous articles in peer-reviewed journals. He is well known for numerous original contributions in the area of ladle metallurgy, steelmaking, and continuous casting. Professor Mazumdar is a fellow of the Indian National Academy of Engineering and works as a consultant to several Indian steel plants.

Professor Evans holds the P. Malozemoff chair in the Department of Materials Science and Engineering at the University of California, Berkeley. During his four-decade-long career in metals and materials research, he has made numerous original contributions, and has authored and coauthored several books and monographs. Professor Evans is well known for his contributions to modeling in process metallurgy and aluminum metallurgy. He has to his credit more than 300 publications and has won several awards and honors including the Brimacombe Award, the Berkeley Citation, and the Douglas Gold Medal of Advances in Mechanical Engineering.

Table of Contents

Steelmaking, Modeling, and Measurements. Knowledge-Based Foundation of Steelmaking. Elements of Physical Modeling. Elements of Mathematical Modeling. Mathematical Modeling I: Fluid Flow. Mathematical Modeling II: Liquid-State Processing Operations. Mathematical Modeling III: Solid-State Processing Operations. Mathematical Modeling IV: Macroscopic Modeling of Ladle Metallurgy Steelmaking. Intelligent Modeling: Neural Network and Genetic Algorithm in Steelmaking. Practice Sessions on Physical and Mathematical Modeling. Index.

What People are Saying About This

From the Publisher

"I enjoyed the easy writing style which, coupled with worked examples to compliment the theory, and self learning exercises at the end of each chapter, make for a very useful book for industry, academia and R&D…. an enjoyable read providing some extremely valuable theoretical and practical information making it a very useful reference book and teaching aid."
—Dr. David Price, Executive Editor, Ironmaking and Steelmaking Journal

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