About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
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In-Situ Monitoring and Control of Solidification & Deformation Processes in Metal Additive Manufacturing
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| Presentation Title |
High-Throughput Process–Structure–Property Mapping in LPBF of 316L via In Situ Monitoring and Automated Characterization |
| Author(s) |
Emre Tekoglu, Zihan Lin, Ji Young Kim, Min Seok Kim, Nikolas Eliopoulos, Sourabh Saptarshi, Benjamin Labiner, Timothy Horn, Kamel Ettaieb, Didier Bardel, Ju Li |
| On-Site Speaker (Planned) |
Emre Tekoglu |
| Abstract Scope |
This study presents a high-throughput framework for establishing process–structure–property relationships in Laser Powder Bed Fusion using 316L stainless steel. A total of 255 parameter sets, varying laser power, scan speed, and hatch spacing, were embedded across segmented builds. Each condition was characterized using in situ thermal imaging, automated optical microscopy, and microhardness testing. X-ray computed tomography (CT) was used as a baseline for porosity quantification. Strong correlations were observed between thermal signatures, surface features, and internal defects, indicating that in situ and optical data can serve as reliable predictors of porosity and mechanical response. These findings highlight the potential of real-time and automated tools for rapid characterization and process validation. The resulting dataset captures heat distribution, microstructural variation, and mechanical trends across a wide parameter space. This framework is generalizable to other alloys and supports data-informed approaches for process development, quality assurance, and adaptive control in metal additive manufacturing. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Characterization, Computational Materials Science & Engineering |