Recent Developments in Aerospace Alloys
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 8747
Special Issue Editors
Interests: X-ray diffraction; tomography; spectroscopy; materials design; residual stresses; eigenstrain
Special Issues, Collections and Topics in MDPI journals
Interests: digital image correlation; microscopy; composites; polymers; hydrogels; organ phantoms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metallic alloys used in aerospace construction form a class of materials that possess a great deal of variety in composition, properties, and applications that satisfy different requirements of lightweight, affordable cost, etc., and cover a range of service conditions, e.g., corrosion resistance, high-temperature stability under the conditions of oxidation and creep, fatigue resistance, stability of residual stress due to processing, etc. There is a vast amount of the literature devoted to the characterization of these alloy systems that on the one hand presents valuable reference information for design, and on the other, documents the established and new experimental approaches.
In recent years, the development of new solutions for aerospace alloys has been greatly accelerated, both in terms of predicting and refining novel systems, assessing their performance and structural integrity, and making new designs using these material systems. The diversity of aerospace alloys that already exist and are being developed presents unprecedented opportunities for the application of Artificial Intelligence as a means of optimizing properties and performance. Contributions are invited to this Special Issue that describe the use of Machine Learning and other big data processing techniques and evaluate their role in accelerating the emergence of new materials and engineering solutions in aerospace technology.
This Special Issue will include papers that report the advances in identifying new promising compositions and processing routes, along with the new methods of experimental assessment of properties and performance, and the interpretation of results to support rational alloy design.
Prof. Dr. Alexander M. Korsunsky
Dr. Alexey I. Salimon
Guest Editors
Manuscript Submission Information
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Keywords
- metallic alloy
- aerospace
- lightweight
- heat-resistant alloy
- fatigue
- creep
- crack resistance
- artificial Intelligence
- machine learning
- big data
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