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Ben Bevans
Ben Bevans
Research Assistant Professor, University of Oklahoma
Geverifieerd e-mailadres voor ou.edu
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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
1212022
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
852023
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
832022
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
812021
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
722022
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
712022
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
462022
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
222023
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
222023
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
152024
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
62024
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
52024
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
22023
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
12025
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
12023
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
12023
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
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