Surface Integrity and Functional Performance Induced by Hybrid Processing of Metallic Alloys
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: 31 July 2025 | Viewed by 377
Special Issue Editor
Interests: residual stresses; mechanical methods; diffraction methods; surface treatments; stress analysis; modeling; simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There is a growing interest in high strength-to-weight ratio and high-temperature-resistant metal alloys and hybrid composites produced through Additive Manufacturing (AM) in critical industries such as nuclear and aerospace. However, final mechanical components often require post-processing through Machining, Mechanical Surface Treatments (such as shot peening, burnishing, deep rolling, etc.), and other techniques to meet stringent functional surfaces and geometric specifications, thereby enhancing their functional performance and lifespan. These processes can be combined—often referred to as Hybrid Manufacturing Processes (HMPs)—to increase efficiency and product quality.
As part of the product quality, Surface Integrity (SI) is a critical determinant of component functional performance and lifespan, such as fatigue life, wear resistance, and corrosion resistance. HMPs, combining additive and subtractive methods or surface modification techniques, introduce challenges due to the complex interaction between these loads. These advanced processes enable tailored surface properties and intricate geometries but demand deeper understanding of the mechanism generating the SI. In addition, Machine Learning and other Artificial Intelligence algorithms can improve the performance of these processes and the SI of the produced mechanical components.
In this context, it is a pleasure to announce a new Special Issue of Metals devoted to SI in HMPs. The SI can have detrimental or beneficial effects on the mechanical behavior of metallic components made by AM and their evaluation, prediction/modeling and control in engineering materials assume, therefore, particular importance for the overall development of the manufacturing process. Advancements in measurement techniques, modeling and prediction of SI and new developments on the understanding of the relationship between SI and the functional performance of mechanical components are, therefore, of great interest for this Special Issue of Metals.
Dr. Joao Nobre
Guest Editor
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Keywords
- high strength-to-weight ratio and high-temperature-resistant metallic materials
- surface integrity
- additive manufacturing
- machining
- hybrid manufacturing processes
- modelling and simulation
- optimization
- artificial intelligence
- machine learning
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