| Digitally twinned additive manufacturing: Detecting flaws in laser powder bed fusion by combining thermal simulations with in-situ meltpool sensor data R Yavari, A Riensche, E Tekerek, L Jacquemetton, H Halliday, ... Materials & Design 211, 110167, 2021 | 83 | 2021 |
| 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 |
| Thermal modeling in metal additive manufacturing using graph theory–Application to laser powder bed fusion of a large volume impeller R Yavari, R Williams, A Riensche, PA Hooper, KD Cole, L Jacquemetton, ... Additive Manufacturing 41, 101956, 2021 | 52 | 2021 |
| 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 | 49 | 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 | 24 | 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 | 16 | 2024 |
| Application of hybrid laser powder bed fusion additive manufacturing to microwave radio frequency quarter wave cavity resonators A Riensche, P Carriere, Z Smoqi, A Menendez, P Frigola, S Kutsaev, ... The International Journal of Advanced Manufacturing Technology 124 (1), 619-632, 2023 | 16 | 2023 |
| Discrete Green’s functions and spectral graph theory for computationally efficient thermal modeling KD Cole, A Riensche, PK Rao International Journal of Heat and Mass Transfer 183, 122112, 2022 | 16 | 2022 |
| Thermal modeling of directed energy deposition additive manufacturing using graph theory A Riensche, J Severson, R Yavari, NL Piercy, KD Cole, P Rao Rapid Prototyping Journal 29 (2), 324-343, 2023 | 13 | 2023 |
| 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 | 6 | 2024 |
| Digital Twins in Additive Manufacturing: A Systematic Review MM Ahsan, Y Liu, S Raman, Z Siddique arXiv preprint arXiv:2409.00877, 2024 | 2 | 2024 |
| 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 |
| Toward Rapid Process Qualification of Laser Powder Bed Fusion: Model Predictive Control of Part Thermal History A Riensche, B Bevans, J Sions, K Snyder, Y Plotnikov, D Hass, P Rao International Manufacturing Science and Engineering Conference 88100 …, 2024 | 1 | 2024 |
| 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 |
| 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, ... Authorea Preprints, 2025 | | 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 |
| Prediction and Control of Thermal History in Laser Powder Bed Fusion AR Riensche Virginia Tech, 2024 | | 2024 |
