Metallurgy
eBook - PDF

Metallurgy

Advances in Materials and Processes

  1. 188 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Metallurgy

Advances in Materials and Processes

About this book

In recent decades scientists and engineers around the globe have been responding to the requirement of high performance materials through innovative material research and engineering. The ever increasing demand on quality and reliability has resulted in some dazzling technological achievements in the area of advanced materials and manufacturing.The purpose of this book is to bring together significant findings of leading experts, in developing and improving the technology that supports advanced materials and process development. From gold nano-structures to advanced superalloys, this book covers investigations involving modern computer based approaches as well as traditional experimental techniques. Selected articles include research findings on advances made in materials that are used not only in complex structures such as aeroplanes but also in clinical treatments. It is envisaged that it will promote knowledge transfer across the materials society including university students, engineers and scientists to built further understanding of the subject.

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Yes, you can access Metallurgy by Yogiraj Pardhi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mining Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Metallurgy - Advances in Materials and Processes
  2. Contents
  3. Preface
  4. Chapter 1 Heat Treatment of Dental Alloys: A Review
  5. Chapter 2 Microstructure-Property Relationship in Advanced Ni-Based Superalloys
  6. Chapter 3 Gold Nanostructures Prepared on Solid Surface
  7. Chapter 4 Low Temperature Wafer-Level Metal Thermo-Compression Bonding Technology for 3D Integration
  8. Chapter 5 Homogenization Heat Treatment to Reduce the Failure of Heat Resistant Steel Castings
  9. Chapter 6 Multiconvolutional Approach to Treat the Main Probability Distribution Functions Used to Estimate the Measurement Uncertainties of Metallurgical Tests
  10. Chapter 7 Artificial Intelligence Techniques for Modelling of Temperature in the Metal Cutting Process