Innovative Lightweight and High-Strength Alloys : Multiscale Integrated Processing, Experimental, and Modeling Techniques

個数:1
紙書籍版価格
¥57,406
  • 電子書籍
  • ポイントキャンペーン

Innovative Lightweight and High-Strength Alloys : Multiscale Integrated Processing, Experimental, and Modeling Techniques

  • 著者名:Zikry, Mohammed A. (EDT)
  • 価格 ¥45,333 (本体¥41,212)
  • Elsevier(2024/04/23発売)
  • 冬の読書を楽しもう!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~1/25)
  • ポイント 10,300pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780323995399
  • eISBN:9780323995405

ファイル: /

Description

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

1. Process-structure-property models for metal additive manufacturing using AI/ML approaches2. An overview on recent processing, metallurgy, and experiments related to microstructure engineering in additive manufacturing3. Dislocations in processing and material behavior4. Machine learning-enabled parametrically upscaled constitutive models for bridging length scales in Ti and Ni alloys5. Data-driven approaches for computational modelling for plasticity, fatigue, and fracture behavior of alloys6. Twin transmission and variant continuity in Mg bicrystals7. Thin-walled LPBF-manufactured Inconel 718 honeycomb structures: Multiscale characterization8. Sample size dependence of mechanical properties in metallic materials9. Intelligent processing and development of high-performance automotive aluminum alloys: Application of physics-based and data-driven modeling10. Comparing the effect of different parameters on the fatigue behavior of aerospace aluminum alloys11. Multiscale model-based design of high-strength alloys with reduced hydrogen embrittlement susceptibility12. Microstructural predictions of how processing and additive manufacturing can affect the mechanical behavior of Inconel alloys13. Breaking boundaries: Deformation processing techniques for the next generation of lightweight and high-strength materials

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