Innovative Lightweight and High-Strength Alloys

Multiscale Integrated Processing, Experimental, and Modeling Techniques

Häftad, Engelska, 2024

Av Mohammed A. Zikry, USA) Zikry, Mohammed A. (Professor, Department of Mechanical/Aerospace Engineering, North Carolina State University, Raleigh, North Carolina

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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

Produktinformation

Utgivningsdatum2024-04-22
Mått152 x 229 x 27 mm
Vikt730 g
FormatHäftad
SpråkEngelska
Antal sidor446
FörlagElsevier Science
ISBN9780323995399

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Mohammed A. Zikry is the Zan Prevost Smith Professor at N.C. State University. His research expertise is in the general areas of multiscale modeling, mechanics of materials, fracture and defect mechanics, computational mechanics, and crystalline plasticity. He has innovated predictive computational, and experimental methodologies that can be used at physical scales ranging from the nano to the macro levels to understand how material behavior can be harnessed for new and significantly improved materials, semi-conductor devices, and structures for systems comprised of metallic alloys, intermetallics, ceramics, composites, biomaterials, and shape memory polymers. He received his Ph.D. from the University of California, San Diego, his M.S. from the Johns Hopkins University, and his B.S. from the University of Kansas. He has also been a Senior Advisor to the Army Research Office, where he initiated and fostered large scale funding opportunities, such as MURIs and Centers of Excellence. He has been involved in numerous leadership positions, such as being the Executive Chair of the American Society of Mechanical Engineering (ASME), and as an advisor to the U.S. Secretary of State, where he was involved in formulating policies for conflict minerals, the Kimberley Process and renewable energy. He has been the Editor of ASME’s Journal of Engineering Materials and Technology, an Editor for Mechanics of Materials, and chair of numerous national and international and advisory boards for universities and DoD and national laboratories. He has been awarded a Professeur, Premiere Classe, Strasbourg University. He has been awarded distinguished alumni awards from the University of California, San Diego, and the University of Kansas. He was also awarded the ASME Robert Thurston Lecture Society Award, which is in recognition of his ground-breaking research accomplishments. He is a Fellow of American Association for the Advancement of Science (AAAS), American Society of Mechanical Engineering (ASME), and the Society of Engineering Science (SES).

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