Alloy Design and Its Performance Trade-Offs
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: 15 December 2024 | Viewed by 1899
Special Issue Editor
Special Issue Information
Dear Colleagues,
Alloy design can be a crucial step in developing advanced metallic materials, directly affecting their performance and application. Balancing properties such as strength, ductility, formability, and conductivity is essential for creating high-performance alloying systems. Modern metallurgy focuses on enhancing these properties simultaneously through innovative manufacturing processes and thermomechanical treatments. Understanding the relationships between alloy chemistry, microstructural features, and processing parameters is key to achieving optimal performance. Recent research in this field has allowed for significant advancements, particularly in nanostructured metallic materials and advanced thermomechanical processing techniques. These developments have important implications for alloy design and optimization, offering improved performance across various applications.
This Special Issue aims to present the latest research on alloy design and performance trade-offs. Topics of interest include novel alloy systems, the effects of processing techniques on properties, the role of microstructure in performance, and strategies for balancing conflicting properties through experimental and computational platforms. Specific areas of focus are high-entropy and nanostructured alloys, thermomechanical processing, grain refinement, solid solution strengthening, precipitation hardening, and computational methods for the design and optimization of new alloys. We welcome manuscript submissions to this Special Issue that cover these topics.
Dr. Seyedmehdi Hosseini
Guest Editor
Manuscript Submission Information
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Keywords
- alloy design
- performance trade-offs
- manufacturing process
- thermomechanical treatment
- alloy chemistry
- microstructural features
- solid solution strengthening
- precipitation hardening
- computational methods
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