| Deep learning of variant geometry in layerwise imaging profiles for additive manufacturing quality control F Imani, R Chen, E Diewald, E Reutzel, H Yang Journal of Manufacturing Science and Engineering 141 (11), 111001, 2019 | 113 | 2019 |
| Process qualification of laser powder bed fusion based on processing-defect structure-fatigue properties in Ti-6Al-4V SP Narra, AD Rollett, A Ngo, D Scannapieco, M Shahabi, T Reddy, ... Journal of Materials Processing Technology 311, 117775, 2023 | 35 | 2023 |
| Data-driven sensitivity analysis for static mechanical properties of additively manufactured Ti–6Al–4V A Sharma, J Chen, E Diewald, A Imanian, J Beuth, Y Liu ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part b …, 2022 | 11 | 2022 |
| Image-guided variant geometry analysis of layerwise build quality in additive manufacturing F Imani, R Chen, E Diewald, E Reutzel, H Yang International Manufacturing Science and Engineering Conference 58745 …, 2019 | 5 | 2019 |
| In-situ process monitoring for powder bed fusion additive manufacturing (pbf am) processes using multi-modal sensor fusion machine learning E Reutzel, J Petrich, AR Nassar, S Phoha, DJ Corbin, JP Morgan, ... US Patent App. 18/002,883, 2023 | 3 | 2023 |
| Additive OS: An Open-Source Platform for Additive Manufacturing Data Management & IP Protection E Diewald Solid Freeform Fabrication Symposium 32, 254-268, 2021 | 1 | 2021 |
| Spatter detection and tracking in high-speed video observations of laser powder bed fusion C Gobert, E Diewald, JL Beuth Rapid Prototyping Journal, 2024 | | 2024 |
| Cooling Channel Redesign for SGT-A05 Second Stage Vane with Considerations for Additive Manufacturing S Energy, E Diewald | | 2019 |