Innovative Lightweight and High-Strength Alloys: Multiscale Integrated Processing, Experimental, and Modeling Techniques
Editat de Mohammed A. Zikryen Limba Engleză Paperback – 22 apr 2024
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
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
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