Additive manufacturing of copper–H13 tool steel bi-metallic structures via Ni-based multi-interlayer X Zhang, C Sun, T Pan, A Flood, Y Zhang, L Li, F Liou Additive Manufacturing 36, 101474, 2020 | 71 | 2020 |
Investigation of copper/stainless steel multi-metallic materials fabricated by laser metal deposition X Zhang, T Pan, A Flood, Y Chen, Y Zhang, F Liou Materials Science and Engineering: A 811, 141071, 2021 | 51 | 2021 |
Effect of processing parameters and build orientation on microstructure and performance of AISI stainless steel 304L made with selective laser melting under different strain rates T Pan, X Zhang, A Flood, S Karnati, W Li, J Newkirk, F Liou Materials Science and Engineering: A 835, 142686, 2022 | 14 | 2022 |
Anisotropy in impact toughness of powder bed fused AISI 304L stainless steel S Karnati, A Khiabhani, A Flood, F Liou, J Newkirk Material Design & Processing Communications 3 (6), e59, 2021 | 12 | 2021 |
Predictive model for thermal and stress field in selective laser melting Process—Part I L Li, L Yan, W Cui, Y Chen, T Pan, X Zhang, A Flood, F Liou Procedia Manufacturing 39, 539-546, 2019 | 12 | 2019 |
Applications of supervised machine learning algorithms in additive manufacturing: A review MS Joshi, A Flood, TE Sparks, FW Liou University of Texas at Austin, 2019 | 12 | 2019 |
Additive manufacturing of copper–H13 tool steel bi-metallic structures via Ni-based multi-interlayer, Addit. Manuf. 36 (2020) 101474 X Zhang, C Sun, T Pan, A Flood, Y Zhang, L Li, F Liou | 9 | 2020 |
Modeling of Powder Bed Processing--A Review A Flood, FW Liou University of Texas at Austin, 2015 | 9 | 2015 |
A SOA approach to improve performance of metal additive manufacturing simulation KK Fletcher, TE Sparks, A Flood, F Liou 2017 IEEE International Conference on Cognitive Computing (ICCC), 140-143, 2017 | 7 | 2017 |
Investigation of significant factors on deformation with powder bed fusion system T Pan, L Li, X Zhang, A Flood, S Karnati, W Cui, Y Zhang, W Li, F Liou Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2021 | 6 | 2021 |
Additive manufacturing of copper–H13 tool steel bi-metallic structures via Ni-based multi-interlayer. Addit Manuf 36: 101474 X Zhang, C Sun, T Pan, A Flood, Y Zhang, L Li, F Liou | 5 | 2020 |
Predictive Model for Thermal and Stress Field in Selective Laser Melting Process—Part II L Li, L Yan, Y Chen, T Pan, X Zhang, W Cui, A Flood, F Liou Procedia Manufacturing 39, 547-555, 2019 | 5 | 2019 |
Review of metal AM simulation validation techniques A Flood, FW Liou David Publishing Company 8, 43, 2018 | 5 | 2018 |
Incorporation of Automated Ball Indentation Methodology for Studying Powder Bed Fabricated 304L Stainless Steel S Karnati, JL Hoerchler, A Flood, FW Liou University of Texas at Austin, 2018 | 3 | 2018 |
Characterization of impact toughness of 304L stainless steel fabricated through laser powder bed fusion process S Karnati, A Khiabhani, A Flood, FW Liou, JW Newkirk University of Texas at Austin, 2018 | 3 | 2018 |
Experimental, computational, and machine learning methods for prediction of residual stresses in laser additive manufacturing: a critical review SH Wu, U Tariq, R Joy, T Sparks, A Flood, F Liou Materials 17 (7), 1498, 2024 | 2 | 2024 |
Effects of Laser Defocusing on Bead Geometry in Coaxial Titanium Wire-Based Laser Metal Deposition R Mathenia, A Flood, B McLain, T Sparks, F Liou Materials 17 (4), 889, 2024 | 2 | 2024 |
Sensitivity Analysis of Directed Energy Deposition Simulation Results to Aluminum Material Properties A Flood, F Liou 3D Printing and Additive Manufacturing, 2023 | 2 | 2023 |
Searching for Unknown Material Properties for AM Simulations A Flood, R Boillat, SP Isanaka, F Liou Metals 13 (11), 1798, 2023 | 2 | 2023 |
Applications of Supervised Machine Learning Algorithms in Additive Manufacturing: A Review F Liou, MT Spark, A Flood, M Joshi Preprints, 2021 | 1 | 2021 |