Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults A Gaikwad, R Yavari, M Montazeri, K Cole, L Bian, P Rao Iise Transactions 52 (11), 1204-1217, 2020 | 142 | 2020 |
Process mapping and in-process monitoring of porosity in laser powder bed fusion using layerwise optical imaging F Imani, A Gaikwad, M Montazeri, P Rao, H Yang, E Reutzel Journal of Manufacturing Science and Engineering 140 (10), 101009, 2018 | 136 | 2018 |
Heterogeneous sensing and scientific machine learning for quality assurance in laser powder bed fusion–A single-track study A Gaikwad, B Giera, GM Guss, JB Forien, MJ Matthews, P Rao Additive Manufacturing 36, 101659, 2020 | 90 | 2020 |
Layerwise in-process quality monitoring in laser powder bed fusion F Imani, A Gaikwad, M Montazeri, P Rao, H Yang, E Reutzel International Manufacturing Science and Engineering Conference 51357 …, 2018 | 78 | 2018 |
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 | 47 | 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 | 44 | 2023 |
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 | 43 | 2022 |
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 | 32 | 2022 |
In situ monitoring of thin-wall build quality in laser powder bed fusion using deep learning A Gaikwad, F Imani, H Yang, E Reutzel, P Rao Smart and Sustainable Manufacturing Systems 3 (1), 2019 | 28 | 2019 |
Design rules and in-situ quality monitoring of thin-wall features made using laser powder bed fusion A Gaikwad, F Imani, P Rao, H Yang, E Reutzel International manufacturing science and engineering conference 58745 …, 2019 | 20 | 2019 |
Numerical and experimental investigation of aerosol jet printing S Ramesh, C Mahajan, S Gerdes, A Gaikwad, P Rao, DR Cormier, ... Additive Manufacturing 59, 103090, 2022 | 15 | 2022 |
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning A Gaikwad, T Chang, B Giera, N Watkins, S Mukherjee, A Pascall, ... Journal of Intelligent Manufacturing 33 (7), 2093-2117, 2022 | 14 | 2022 |
Ultrasonic nondestructive evaluation of additively manufactured wear coatings Z Smoqi, LD Sotelo, A Gaikwad, JA Turner, P Rao Ndt & E International 133, 102754, 2023 | 10 | 2023 |
Predicting part-level thermal history in metal additive manufacturing using graph theory: experimental validation with directed energy deposition of titanium alloy parts R Yavari, J Severson, A Gaikwad, K Cole, P Rao International Manufacturing Science and Engineering Conference 58745 …, 2019 | 7 | 2019 |
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 | 6 | 2023 |
Monitoring and control of biological additive manufacturing using machine learning S Gerdes, A Gaikwad, S Ramesh, IV Rivero, A Tamayol, P Rao Journal of Intelligent Manufacturing 35 (3), 1055-1077, 2024 | 4 | 2024 |
On Geometric Design Rules and In-Process Build Quality Monitoring of Thin-Wall Features Made Using Laser Powder Bed Fusion Additive Manufacturing Process A Gaikwad | 2 | 2020 |
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 | |
ADDITIVE MANUFACTURING DEFECT DETECTION Z Smoqi, P Rao, B Bevans, A Gaikwad US Patent App. 18/240,879, 2024 | | 2024 |
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 | | 2023 |