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Ben Bevans
Ben Bevans
Research Assistant Professor, University of Oklahoma
Verified email at ou.edu
Title
Cited by
Cited by
Year
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
1202022
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
822022
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
802023
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
792021
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
702022
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
702022
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
412022
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
202023
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
192023
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
132024
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
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
42024
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
22023
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
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
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
Born Qualified Additive Manufacturing: In-situ Part Quality Assurance in Metal Additive Manufacturing
BD Bevans
Virginia Tech, 2024
2024
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
2024
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