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

Editat de Mohammed A. Zikry
en Limba Engleză Paperback – 22 apr 2024
Innovative Lightweight and High-Strength Alloys: Multiscale Integrated Processing, Experimental, and Modeling Techniques provides multiscale processing, experimental, and modeling techniques, overviews and perspectives, which highlight current roadblocks to the optimal design of new alloys, and provides viable 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 experimentatal approaches.

The book concludes with a modeling section that features several chapters covering multiscale, microstructural, combinatorial computational, and machine learning modeling techniques. It is a key resource for academic researchers, materials researchers, mechanical engineering researchers, and professional engineers in mechanics, materials science, and chemistry.


  • 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
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Specificații

ISBN-13: 9780323995399
ISBN-10: 032399539X
Pagini: 446
Dimensiuni: 152 x 229 x 27 mm
Greutate: 0.7 kg
Editura: ELSEVIER SCIENCE

Public țintă

Academic researchers, materials researchers, mechanical engineering researchers, and professional engineers in mechanics, materials science, and chemistry.
Advanced undergrad and graduate students

Cuprins

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