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

• 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.

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

• 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.

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

• 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.