Sarah J. Wolff
Engineering · The Ohio State University
Publications
56
Citations
3,235
Est. group size
~2
Recurring co-author estimate
Active years
47
Publishing since 1979
Sarah J. Wolff's research focuses on metal additive manufacturing (3D printing with metal powders), particularly on understanding defects such as porosity and pore formation during processes like laser powder bed fusion and directed energy deposition. Her work combines advanced imaging techniques, such as in-situ X-ray and synchrotron imaging, with machine learning and physics-based modeling to predict temperature, microstructure, and defect behavior during printing. This research aims to improve the reliability and quality control of metal parts made through additive manufacturing for engineering applications.
Publication output grew steadily from 2017 through a peak around 2022, followed by a decline in 2023-2024 and a partial rebound in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Effects of an External Magnetic Field on Keyhole Mode Laser Melting of 316 Stainless Steel
JOM · 2025
- Hierarchical importance of physical factors causing gas porosity in powder bed fusion additive manufacturing
Science and Technology of Welding & Joining · 2025
- Process-structure relationships in laser directed energy deposition of molybdenum powder within a Ti–6Al–4V matrix
Additive manufacturing · 2025
- Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data
Journal of Manufacturing Science and Engineering · 2023
- Ripple formations determine the heterogeneous microstructure of directed energy deposition (DED)-printed 316L components
Materials & Design · 2023
- Gas bubble coalescence in laser directed energy deposition of irregular HDH titanium alloy powder feedstock
Manufacturing Letters · 2023
- Sheet Lamination
Springer handbooks · 2023
- Directed Energy Deposition
Springer handbooks · 2023
- In Situ X-Ray Imaging of Metal Additive Manufacturing Processes
ASM International eBooks · 2023
- Development and Initial Validation of the Mindful Self-Regulated Learning Scale (m-SRLS)
2023
- Real-Time Prediction of Pores and Their Lifespan in Laser Melting Using Transfer Learning
2023
- Convolutional Neural Network applications in additive manufacturing: A review
Advances in Industrial and Manufacturing Engineering · 2022
- In situ high-speed synchrotron X-ray imaging of laser-based directed energy deposition of the alloying process with dissimilar powders
Journal of Manufacturing Processes · 2022
- X-ray computed tomography analysis of pore deformation in IN718 made with directed energy deposition via in-situ tensile testing
International Journal of Solids and Structures · 2022
- Powder-borne porosity in directed energy deposition
Journal of Manufacturing Processes · 2022
- Manufacturing Letters×5
- Journal of Manufacturing Processes×5
- Additive manufacturing×4
- JOM×3
- Procedia Manufacturing×2
- Luz D. Sotelo
Engineering · Purdue University West Lafayette
- Joshua D. Pribe
Engineering · Purdue University West Lafayette
- Michael P. Sealy
Engineering · Purdue University West Lafayette
- Scott Jensen
Engineering · Purdue University West Lafayette
- Rakeshkumar Karunakaran
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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