Steel Informatics
eBook - ePub

Steel Informatics

Analysing Data of a Complex Materials System

  1. 218 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Steel Informatics

Analysing Data of a Complex Materials System

About this book

Steel Informatics aims to review the application of data-driven computing techniques related to the design of steel, including phase transformation, composition-process-property correlation, and different processing techniques, particularly deformation and joining. This book initiates with fundamentals of informatics followed by a description of applications of statistical analyses in defining the different attributes of steel. The proceeding chapters of this book cover recent applications of statistical, machine learning, expert systems, and optimization algorithms in the domains of iron and steel making, casting, deformation, phase transformation and heat treatment, microstructure analysis, and design of steel.

Features:

• Exclusive title focussing on informatics in steel design.
• Covers related statistics as well as artificial intelligence and machine learning aspects.
• Explains metallurgical aspects lucidly for the data scientists, steel researchers, and industries.
• Discusses all aspects of steel technology.
• Describes pertinent tools used for related computations.

This book is useful for researchers, professionals, and graduate students in metallurgy, materials science, steel and welding, and computational materials science.

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Yes, you can access Steel Informatics by Shubhabrata Datta,Subhas Ganguly in PDF and/or ePUB format, as well as other popular books in Mathematics & Materials Science. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. About the Authors
  8. Preface
  9. Acknowledgments
  10. 1. Introduction to Informatics and Data Analytics
  11. 2. Materials Informatics and Steel Data
  12. 3. Ironmaking and Steelmaking
  13. 4. Prediction of Phase Transformation in Steel
  14. 5. Steel Welding: Data-Driven Approaches
  15. 6. Data-Driven Modeling of Mechanical Properties of Steel
  16. 7. Microstructure and Machine Learning
  17. 8. Optimization for Design
  18. 9. Possibilities and Opportunities
  19. Index