Innovative Lightweight and High-Strength Alloys

Multiscale Integrated Processing, Experimental, and Modeling Techniques

Mohammed A. Zikry

• Publisher: Elsevier
• Year: 2024
• Topic: Technology & Engineering
• Print ISBN:
  9780323995399
• Subtopic: Mining Engineering
• eBook ISBN:
  9780323995405
• Index: Technology & Engineering

Innovative Lightweight and High Strength Alloys: Multiscale Integrated Processing, Experimental, and Modeling Techniques provides multiscale processing, experimental and modeling techniques overviews and perspectives that highlight current roadblocks to optimal design of new alloys alongside solutions. Critical microstructural, chemical and mechanical aspects are considered with techniques for significantly improving mechanical properties. Case studies, applications and hands-on techniques that can be put into immediate practice are included throughout. Sections cover processing techniques for various alloys, including aluminum, titanium, martensitic, austenitic, and others. Additive manufacturing of alloys is also covered, along with updates on mechanical quasi-static, chemically-based, and dynamic experimentation techniques, and more. The book concludes with a modeling section that features several chapters covering multiscale, microstructural, combinatorial computational, and machine learning modeling techniques. - Provides solutions for designing innovative and durable alloys - Demonstrates how to optimally combine alloys with other metallic and non-metallic material systems for longer life cycles and better durability in extreme environments and loading conditions - Outlines a variety of experimentation, characterization and modeling techniques that can be put into immediate practice

Table of contents

• Innovative Lightweight and High-Strength Alloys
• Cover
• Title Page
• Copyright
• Table of Contents
• Contributors
• Preface
• Chapter 1 Process-structure-property models for metal additive manufacturing using AI/ML approaches
• Chapter 2 An overview on recent processing, metallurgy, and experiments related to microstructure engineering in additive manufacturing
• Chapter 3 Dislocations in processing and material behavior
• Chapter 4 Machine learning-enabled parametrically upscaled constitutive models for bridging length scales in Ti and Ni alloys
• Chapter 5 Data-driven approaches for computational modeling for plasticity, fatigue, and fracture behavior of alloys
• Chapter 6 Twin transmission and variant continuity in Mg bicrystals
• Chapter 7 Thin-walled LPBF-manufactured Inconel 718 honeycomb structures: Multiscale characterization
• Chapter 8 Sample size dependence of mechanical properties in metallic materials
• Chapter 9 Intelligent processing and development of high-performance automotive aluminum alloys: Application of physics-based and data-driven modeling
• Chapter 10 Parameter effects on the fatigue behavior of aerospace aluminum alloys
• Chapter 11 High-strength alloys with reduced hydrogen embrittlement susceptibility
• Chapter 12 Microstructural predictions of how processing and additive manufacturing can affect the mechanical behavior of Inconel alloys
• Chapter 13 Breaking boundaries: Deformation processing techniques for the next generation of lightweight and high-strength materials
• Index