About this Research Topic
Additive Manufacturing (AM) has shown tremendous potential in obtaining complex shaped components in comparison with conventional manufacturing techniques with an advantage of minimum process time. However, there are many challenges and opportunities that need to be explored in terms of manufacturing different metals and alloys, which can be addressed by optimizing printing strategies for different energy sources like electron beam, laser and electric arc. Moreover, the obtained 3D component lacks sustainable performance during service due to presence of process as well as material associated defects. Therefore, researchers over the globe are working towards either modifying existing alloys or designing new materials exclusively for AM. There are also several post processing thermo-mechanical and surface treatments that adds to property improvements and help in delivering an optimized solution to the end user.
The main objective of the proposed special issue is to bring the excellent and advanced research work done in the direction of designing /modifying engineering alloys for additive manufacturing at same floor. In the era of artificial intelligence (AI) and machine learning (ML), people are using these tools to predict proper alloy compositions as one of the crucial step in the designing of new advanced alloys whereas continuous evolution in the understanding of the microstructure development during AM, researchers are optimizing printing parameters for some of the existing alloys for improved performance. At last, collection of articles from design to performance for engineering alloys used for AM will help not only the incoming researchers to direct to the right path but also enable existing people to uplift the AM technology further.
Topics include but not limited to:
• Use of AI and ML in alloy design for AM
• New methods for 3D printing
• Processing innovations in 3D printing
• In-situ monitoring of defect formation during 3D printing
• Design of new alloys for 3D printing
• Structure-property correlations in newly designed 3D printed alloys
• Issues and challenges for design and/or modification of metallic alloys for AM
• Role of metallic alloys in defect formation and failures of 3D printed components
• Post-printing thermo-mechanical and surface treatments on 3D printed alloys
The main objective of the proposed special issue is to bring the excellent and advanced research work done in the direction of designing /modifying engineering alloys for additive manufacturing at same floor. In the era of artificial intelligence (AI) and machine learning (ML), people are using these tools to predict proper alloy compositions as one of the crucial step in the designing of new advanced alloys whereas continuous evolution in the understanding of the microstructure development during AM, researchers are optimizing printing parameters for some of the existing alloys for improved performance. At last, collection of articles from design to performance for engineering alloys used for AM will help not only the incoming researchers to direct to the right path but also enable existing people to uplift the AM technology further.
Topics include but not limited to:
• Use of AI and ML in alloy design for AM
• New methods for 3D printing
• Processing innovations in 3D printing
• In-situ monitoring of defect formation during 3D printing
• Design of new alloys for 3D printing
• Structure-property correlations in newly designed 3D printed alloys
• Issues and challenges for design and/or modification of metallic alloys for AM
• Role of metallic alloys in defect formation and failures of 3D printed components
• Post-printing thermo-mechanical and surface treatments on 3D printed alloys
Keywords: Alloys, additive manufacturing, 3D printing, defects, porosity, rapid solidification, alloy design, mechanical behavior, materials for extreme conditions.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
