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Additive Processing of High-Temperature Alloys

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: 10 January 2025 | Viewed by 2613

Special Issue Editor


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Guest Editor
Department of Engineering Science, University West, Trollhättan, Sweden
Interests: additive manufacturing; welding and weldability testing; materials engineering and materials physics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transformative potential of additive manufacturing (AM) in reshaping traditional production paradigms is widely recognized, particularly in the fabrication of intricately designed components using materials that have traditionally posed machining challenges, such as superalloys. The realization of AM’s profound impact on future turbine designs, where its capabilities can be harnessed to craft high-temperature alloy parts with advanced geometries, is gaining momentum. Consequently, there is a current emphasis on exploring diverse aspects of various AM technologies, aimed at advancing scientific comprehension and expediting their integration into industrial practices.

The substantial investments of time and research efforts have yielded continuous developments across the spectrum of AM, fostering growing optimism regarding the widespread adoption of AM techniques for the manufacturing, repair, and overhaul of superalloy components. This call to attention underscores the need to showcase these remarkable advancements, giving rise to the proposal for a Special Issue in Materials, dedicated to highlighting cutting-edge developments in the AM of high-temperature materials.

Contributions are cordially invited from experts actively engaged in the following areas, among others:

  1. Alloy Design and Selection:
    Exploration of novel alloy compositions tailored for additive manufacturing processes, focusing on optimizing material properties and performance.
  2. Powder Production and Pre-processing:
    Investigations into the production and pre-processing of powders, examining their influence on build quality, material integrity, and subsequent properties.
  3. Process Parameter Impact and Optimization:
    In-depth analyses of the impact of process parameters on the AM build, coupled with optimization strategies to enhance efficiency and reliability.
  4. Post-processing of Builds:
    Encompassing treatments such as Hot Isostatic Pressing (HIPing), heat treatment, machining, welding, etc., to refine the properties of additively manufactured high-temperature material components.
  5. Advanced Characterization:
    Advancements in techniques for characterizing the microstructure, composition, and properties of additively manufactured high-temperature materials.
  6. Residual Stress and Distortion:
    Investigations into mitigating challenges related to residual stresses and distortion in high-temperature material components, crucial for ensuring dimensional accuracy.
  7. Mechanical and Functional Property Assessment:
    Rigorous assessments of the mechanical and functional properties of additively manufactured high-temperature materials under various operating conditions.
  8. Process–Microstructure–Property Correlations:
    Establishment of comprehensive correlations between the AM process, resulting microstructure, and the ensuing material properties.
  9. Modeling:
    Advancements in numerical and computational modeling techniques to simulate and predict the behavior of high-temperature materials during the additive manufacturing process.
  10.  Process Reliability and Qualification:
    Investigations into ensuring the reliability and qualification of AM processes, particularly focusing on standards and certifications.
  11. Applications:
    Practical applications of additively manufactured high-temperature material components across diverse industries, demonstrating the scalability and versatility of these technologies.

I eagerly anticipate your valuable contributions to this Special Issue, which aims to be a pivotal resource in disseminating the latest advancements and fostering collaborative efforts to propel the AM of high-temperature materials to new heights.

Warm regards,

Prof. Dr. Joel Andersson
Guest Editor

Manuscript Submission Information

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Keywords

  • additive manufacturing
  • superalloys
  • turbine designs
  • high-temperature alloy optimization
  • post-processing
  • advanced characterization
  • residual stress
  • mechanical properties
  • applications

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Published Papers (2 papers)

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Research

27 pages, 10528 KiB  
Article
Achievement of a Parameter Window for the Selective Laser Melting Formation of a GH3625 Alloy
by Guozheng Quan, Qi Deng, Yifan Zhao, Mingguo Quan and Daijian Wu
Materials 2024, 17(10), 2333; https://doi.org/10.3390/ma17102333 - 14 May 2024
Viewed by 941
Abstract
In the selective laser melting (SLM) process, adjusting process parameters contributes to achieving the desired molten pool morphology, thereby enhancing the mechanical properties and dimensional accuracy of manufactured components. The parameter window characterizing the relationship between molten pool morphology and process parameters serves [...] Read more.
In the selective laser melting (SLM) process, adjusting process parameters contributes to achieving the desired molten pool morphology, thereby enhancing the mechanical properties and dimensional accuracy of manufactured components. The parameter window characterizing the relationship between molten pool morphology and process parameters serves as an effective tool to improve SLM’s forming quality. This work established a mesoscale model of the SLM process for a GH3625 alloy based on the discrete element method (DEM) and computational fluid dynamics (CFD) to simulate the forming process of a single molten track. Subsequently, the formation mechanism and evolution process of the molten pool were revealed. The effects of laser power and scanning speed on the molten pool size and molten track morphology were analyzed. Finally, a parameter window was established from the simulation results. The results indicated that reducing the scanning speed and increasing the laser power would lead to an increase in molten pool depth and width, resulting in the formation of an uneven width in the molten track. Moreover, accelerating the scanning speed and decreasing the laser power cause a reduction in molten pool depth and width, causing narrow and discontinuous molten tracks. The accuracy of the simulation was validated by comparing experimental and simulated molten pool sizes. Full article
(This article belongs to the Special Issue Additive Processing of High-Temperature Alloys)
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22 pages, 8570 KiB  
Article
Three-Dimensional Columnar Microstructure Representation Using 2D Electron Backscatter Diffraction Data for Additive-Manufactured Haynes®282®
by Liene Zaikovska, Magnus Ekh and Johan Moverare
Materials 2024, 17(7), 1659; https://doi.org/10.3390/ma17071659 - 4 Apr 2024
Viewed by 1121
Abstract
This study provides a methodology for exploring the microstructural and mechanical properties of the Haynes®282® alloy produced via the Powder Bed Fusion-Electron Beam (PBF-EB) process. Employing 2D Electron Backscatter Diffraction (EBSD) data, we have successfully generated 3D representations of columnar [...] Read more.
This study provides a methodology for exploring the microstructural and mechanical properties of the Haynes®282® alloy produced via the Powder Bed Fusion-Electron Beam (PBF-EB) process. Employing 2D Electron Backscatter Diffraction (EBSD) data, we have successfully generated 3D representations of columnar microstructures using the Representative Volume Element (RVE) method. This methodology allowed for the validation of elastic properties through Crystal Elasticity Finite Element (CEFE) computational homogenization, revealing critical insights into the material behavior. This study highlights the importance of accurately representing the grain morphology and crystallographic texture of the material. Our findings demonstrate that created virtual models can predict directional elastic properties with a high level of accuracy, showing a maximum error of only ~5% compared to the experimental results. This precision underscores the potential of our approach for predictive modeling in Additive Manufacturing (AM), specifically for materials with complex, non-homogeneous microstructures. It can be concluded that the results uncover the intricate link between microstructural features and mechanical properties, underscoring both the challenges encountered and the critical need for the accurate representation of grain data, as well as the significance of achieving a balance in EBSD area selection, including the presence of anomalies in strongly textured microstructures. Full article
(This article belongs to the Special Issue Additive Processing of High-Temperature Alloys)
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