1st Edition

Modeling of Steelmaking Processes

By Dipak Mazumdar, James W. Evans Copyright 2010
    950 Pages 180 B/W Illustrations
    by CRC Press

    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.

    Steelmaking, Modeling, and Measurements

    Steelmaking: Past and Present

    An Overview of Steelmaking

    Modeling in Steelmaking

    Measurements

    Steelmaking and the Future

    Knowledge-Based Foundation of Steelmaking

    Metallurgical Thermodynamics

    Fluid Dynamics

    Heat Transfer

    Mass Transfer

    Chemical Kinetics

    Behavior of Gas Jets in Liquids

    Elements of Physical Modeling

    Principles of Physical Modeling

    Dimensional Analysis

    Choice of Scale Factor and Working Fluid

    Limitations of Water Modeling

    Scaling Up of Result and Full-Scale Prediction

    Experimental Techniques in Aqueous Modeling

    Some Illustrative Examples

    Elements of Mathematical Modeling

    Mathematical Modeling in Steelmaking

    Mechanistic Modeling of Steelmaking Processes

    Numerical Solution

    Uncertainties in Mathematical Modeling

    Commercial Software

    Mathematical Modeling I: Fluid Flow

    Modeling of Laminar Flow

    Modeling of Turbulent Flow

    Magnetohydrodynamics

    Mathematical Modeling II: Liquid-State Processing Operations

    Motion of Solid Addition in Steel Melt

    Melting and Dissolution of Solid

    Thermal Energy Transport and Temperature Distribution

    Transport and Removal of Inclusion

    Bubble Population Balance Model

    Mass Transfer and Mixing

    Mass Transfer with Chemical Reaction

    Solidification and Continuous Casting

    Mathematical Modeling III: Solid-State Processing Operations

    Modeling of Diffusive Heat Transfer Phenomena

    Modeling of Simultaneous Diffusive Heat and Mass Transfer Phenomena

    Modeling of Mechanical Working

    Modeling of Microstructural Phenomena

    Mathematical Modeling IV: Macroscopic Modeling of Ladle Metallurgy Steelmaking

    Modeling Approach

    Macroscopic Models

    Plume Velocity

    Application of Macroscopic Models to High Temperature Melts

    Intelligent Modeling: Neural Network and Genetic Algorithm in Steelmaking

    Artificial Intelligence

    Artificial Neural Network

    Optimization and Genetic Algorithm

    Application of ANN and GA in Steelmaking

    Integration of ANN, GA, and CFD: Application in Modeling of Steelmaking Processes

    Practice Sessions on Physical and Mathematical Modeling

    Practice Session on Physical Modeling

    Practice Session on Mathematical Modeling

    Index

    Biography

    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.

    "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