| Invited Review Article: Review of the formation and impact of flaws in powder bed fusion additive manufacturing Z Snow, AR Nassar, EW Reutzel Additive Manufacturing 36, 101457, 2020 | 173* | 2020 |
| On the development of powder spreadability metrics and feedstock requirements for powder bed fusion additive manufacturing Z Snow, R Martukanitz, S Joshi Additive Manufacturing 28, 78-86, 2019 | 168* | 2019 |
| Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning Z Snow, B Diehl, EW Reutzel, A Nassar Journal of Manufacturing Systems 59, 12-26, 2021 | 119 | 2021 |
| Multi-modal sensor fusion with machine learning for data-driven process monitoring for additive manufacturing J Petrich, Z Snow, D Corbin, EW Reutzel Additive Manufacturing 48, 102364, 2021 | 51 | 2021 |
| Correlating in-situ sensor data to defect locations and part quality for additively manufactured parts using machine learning Z Snow, EW Reutzel, J Petrich Journal of Materials Processing Technology 302, 117476, 2022 | 33 | 2022 |
| Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring Z Snow, L Scime, A Ziabari, B Fisher, V Paquit Additive Manufacturing 61, 103298, 2023 | 32* | 2023 |
| Flaw Identification in Additively Manufactured Parts Using X-ray Computed Tomography and Destructive Serial Sectioning Z Snow, J Keist, G Jones, R Reed, E Reutzel, V Sundar ADVANCED MATERIALS & PROCESSES 179 (7), 32-32, 2021 | 22 | 2021 |
| Nonlinear resonance ultrasonic spectroscopy (NRUS) for the quality control of additively manufactured samples E Bozek, S McGuigan, Z Snow, EW Reutzel, J Rivière, P Shokouhi Ndt & E International 123, 102495, 2021 | 13 | 2021 |
| Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction A Ziabari, SV Venkatakrishnan, Z Snow, A Lisovich, M Sprayberry, ... npj Computational Materials 9 (1), 91, 2023 | 11 | 2023 |
| Understanding powder spreadability in powder bed fusion additive manufacturing ZK Snow | 9 | 2018 |
| Scalable in situ non-destructive evaluation of additively manufactured components using process monitoring, sensor fusion, and machine learning Z Snow, L Scime, A Ziabari, B Fisher, V Paquit Additive Manufacturing 78, 103817, 2023 | 4 | 2023 |
| Analysis of factors affecting fatigue performance of HIP'd laser-based powder bed fusion Ti–6Al–4V coupons Z Snow, C Cummings, EW Reutzel, A Nassar, K Abbot, P Guerrier, S Kelly, ... Materials Science and Engineering: A 864, 144575, 2023 | 4 | 2023 |
| Neural network-based single material beam-hardening correction for X-ray CT in Additive Manufacturing O Rahman, S Venkatakrishnan, Z Snow, P Brackman, T Feldhausen, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | 3 | 2023 |
| 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 | 2 | 2023 |
| ASME Code Qualification Plan for LPBF 316 SS M Messner, B Barua, A Huning, S Arndt, C Massey, S Taller, R Dehoff, ... Argonne National Laboratory (ANL), Argonne, IL (United States), 2023 | 1 | 2023 |
| Semi-automated registration of microscopic images to x-ray computed tomography for additive manufacturing Z Snow, V Paquit Available at SSRN 4087407, 2022 | 1 | 2022 |
| Machine Learning Enabled Sensor Fusion for In-Situ Defect Detection in L-PBF Z Snow, L Scime, A Ziabari, B Fisher, V Paquit Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | | 2023 |
| A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts L Scime, C Joslin, DA Collins, M Sprayberry, A Singh, W Halsey, ... Materials 16 (23), 7293, 2023 | | 2023 |
| A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09) L Scime, Z Snow, W Halsey, A Ziabari, C Joslin, L Lowe, R Duncan, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak …, 2023 | | 2023 |
| Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials A Ziabari, L Scime, Z Snow, J Coleman, A Peles, G Knapp, C Joslin, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | | 2023 |
Edward W. ReutzelPenn State UniversityVerified email at arl.psu.edu
