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Aniruddha Gaikwad
Aniruddha Gaikwad
Graduate Research Assistant, University of Nebraska-Lincoln
Verified email at huskers.unl.edu
Title
Cited by
Cited by
Year
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
1522020
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
1372018
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
952020
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
802018
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
562022
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
492022
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
462023
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
382022
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
282019
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
212019
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
162022
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
152022
Ultrasonic nondestructive evaluation of additively manufactured wear coatings
Z Smoqi, LD Sotelo, A Gaikwad, JA Turner, P Rao
Ndt & E International 133, 102754, 2023
102023
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
82023
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
72019
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
42024
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
22020
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
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