Steel Informatics
Analysing Data of a Complex Materials System
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60 732 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 14 October 2024
- ISBN 9780367569235
- Binding Hardback
- No. of pages218 pages
- Size 234x156 mm
- Weight 453 g
- Language English
- Illustrations 108 Illustrations, black & white; 6 Halftones, black & white; 102 Line drawings, black & white; 16 Tables, black & white 654
Categories
Short description:
Steel Informatics aims to review the application of data-driven computing techniques related to design of steel including phase transformation, composition-process-property correlation, and different processing techniques, particularly deformation and joining. It is useful for researchers and students in Metallurgy and Materials Science.
MoreLong description:
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.
MoreTable of Contents:
1 Introduction to Informatics and Data Analytics; 2 Materials Informatics and Steel Data; 3 Ironmaking and Steelmaking; 4 Prediction of Phase Transformation in Steel; 5 Steel Welding: Data?Driven Approaches; 6 Data?Driven Modeling of Mechanical Properties of Steel; 7 Microstructure and Machine Learning; 8 Optimization for Design; 9 Possibilities and Opportunities
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