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Advanced Structural Materials for Additive Manufacturing

Submission Deadline: 31 July 2027
Special Issue Editors
Dr. Jinlong Su
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China
Interests:

Additive manufacturing; Artificial intelligence; Alloy design; Powder metallurgy

Prof. Dr. Yinghao Zhou
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin, China
Interests:

Alloy design; Additive manufacturing; Intermetallics; High-entropy alloy

Dr. Qiyang Tan
School of Mechanical and Mining Engineering, University of Queensland, Australia
Interests:

Additive manufacturing; Alloy development; Grain refinement; Machine learning

Special Issue Information

Structural materials are widely used in load-bearing components in the aerospace, automotive, energy, biomedical and construction sectors. Additive manufacturing (AM) provides new opportunities to produce complex parts and control their microstructures and properties. However, most alloys currently used in AM were originally developed for conventional manufacturing and may not be well suited to the unique conditions of AM. Therefore, developing new alloys (and composites) specifically for AM is a promising research direction for improving printability, mechanical performance and reliability.

This Special Issue will feature state-of-the-art reviews and original research on the design, processing, characterization and performance of advanced structural materials for AM. Emphasis is placed on novel materials, microstructural control, process–structure–property relationships, and strategies that improve mechanical performance and reliability. Studies on computational design, advanced characterization and post-processing are also welcome. Topics of particular interest include, but are not limited to:

  • Design of novel alloys and composites for AM;
  • Microstructural engineering of AM-built materials;
  • Process–structure–property relationships;
  • Post-processing, repair and surface modification;
  • Computational, physics-informed and AI-assisted materials development. 
Keywords
Additive manufacturing
3D printing
Alloy design
Microstructure engineering
Process-structural-property relationship
Artificial Intelligence
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Materials Science in Additive Manufacturing, Electronic ISSN: 2810-9635 Published by AccScience Publishing