Effect of contaminations on the acoustic emissions during wire and arc additive manufacturing of 316L stainless steel A Ramalho, TG Santos, B Bevans, Z Smoqi, P Rao, JP Oliveira Additive Manufacturing 51, 102585, 2022 | 121 | 2022 |
Monitoring and flaw detection during wire-based directed energy deposition using in-situ acoustic sensing and wavelet graph signal analysis B Bevans, A Ramalho, Z Smoqi, A Gaikwad, TG Santos, P Rao, ... Materials & Design 225, 111480, 2023 | 85 | 2023 |
Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning Z Smoqi, A Gaikwad, B Bevans, MH Kobir, J Craig, A Abul-Haj, A Peralta, ... Journal of Materials Processing Technology 304, 117550, 2022 | 83 | 2022 |
Part-scale thermal simulation of laser powder bed fusion using graph theory: Effect of thermal history on porosity, microstructure evolution, and recoater crash R Yavari, Z Smoqi, A Riensche, B Bevans, H Kobir, H Mendoza, H Song, ... Materials & Design 204, 109685, 2021 | 81 | 2021 |
Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing A Gaikwad, RJ Williams, H de Winton, BD Bevans, Z Smoqi, P Rao, ... Materials & Design 221, 110919, 2022 | 72 | 2022 |
Closed-loop control of meltpool temperature in directed energy deposition Z Smoqi, BD Bevans, A Gaikwad, J Craig, A Abul-Haj, B Roeder, B Macy, ... Materials & Design 215, 110508, 2022 | 71 | 2022 |
Feedforward control of thermal history in laser powder bed fusion: Toward physics-based optimization of processing parameters A Riensche, BD Bevans, Z Smoqi, R Yavari, A Krishnan, J Gilligan, ... Materials & Design 224, 111351, 2022 | 46 | 2022 |
Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing B Bevans, C Barrett, T Spears, A Gaikwad, A Riensche, Z Smoqi, ... Virtual and Physical Prototyping 18 (1), e2196266, 2023 | 22 | 2023 |
Prediction of recoater crash in laser powder bed fusion additive manufacturing using graph theory thermomechanical modeling MH Kobir, R Yavari, AR Riensche, BD Bevans, L Castro, KD Cole, P Rao Progress in Additive Manufacturing 8 (3), 355-380, 2023 | 22 | 2023 |
Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive manufacturing using physics-based machine learning AR Riensche, BD Bevans, G King, A Krishnan, KD Cole, P Rao Materials & Design 237, 112540, 2024 | 15 | 2024 |
Digital twins for rapid in-situ qualification of part quality in laser powder bed fusion additive manufacturing BD Bevans, A Carrington, A Riensche, A Tenequer, C Barrett, HS Halliday, ... Additive Manufacturing 93, 104415, 2024 | 6 | 2024 |
Effect of processing parameters and thermal history on microstructure evolution and functional properties in laser powder bed fusion of 316L K Deshmukh, A Riensche, B Bevans, RJ Lane, K Snyder, HS Halliday, ... Materials & Design 244, 113136, 2024 | 5 | 2024 |
Flaw detection in wire and arc additive manufacturing using in-situ wide frequency bandwidth acoustic pressure A Ramalho, TG Santos, B Bevans, Z Smoqi, P Rao, JP Oliveira Res Rev J Nondestruct Test 1 (1), 2023 | 2 | 2023 |
A Review of Modeling, Simulation, and Process Qualification of Additively Manufactured Metal Components via the Laser Powder Bed Fusion Method E De Leon, A Riensche, BD Bevans, C Billings, Z Siddique, Y Liu Journal of Manufacturing and Materials Processing 9 (1), 22, 2025 | 1 | 2025 |
Flaw detection in Wire Arc Additive Manufacturing using in-situ acoustic sensing and graph signal analysis B Bevans, A Ramalho, Z Smoqi, A Gaikwad, TG Santos, P Rao, ... International manufacturing science and engineering conference 87233 …, 2023 | 1 | 2023 |
Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing A Riensche, B Bevans, Z Smoqi, R Yavari, A Krishnan, J Gilligan, N Piercy, ... International Manufacturing Science and Engineering Conference 87233 …, 2023 | 1 | 2023 |
Multi-Phenomena Data Fusion for Enhanced Process Monitoring in Laser Powder Bed Fusion A Gaikwad, RJ Williams, H de Winton, BD Bevans, Z Smoqi, P Rao, ... Available at SSRN 4062535, 0 | 1 | |
Scalable and robust Bayesian transfer learning for in-situ qualification in laser powder bed fusion additive manufacturing Z Li, K Fu, B Bevans, P Rao, R Wang, A Carrington, A Riensche, C Barrett, ... | | 2025 |
In-Process Monitoring of Part Quality in Laser Powder Bed Fusion Additive Manufacturing Process using Acoustic Emission Sensors B Bevans, A Riensche, A Carrington, K Deshmukh, M Darji, Y Plotnikov, ... Journal of Manufacturing Science and Engineering, 1-48, 2025 | | 2025 |
DynamicPrint: A physics-guided feedforward model predictive process control approach for defect mitigation in laser powder bed fusion additive manufacturing A Riensche, B Bevans, A Carrington Jr, K Deshmukh, K Shephard, ... Additive Manufacturing 97, 104592, 2025 | | 2025 |