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Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework
Pandiyan, V., Cui, D., Richter, R. A., Parrilli, A., & Leparoux, M. (2023). Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-023-02279-x
Vision based crown loss estimation for individual trees with remote aerial robots
Ho, B., Kocer, B. B., & Kovac, M. (2022). Vision based crown loss estimation for individual trees with remote aerial robots. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 75-88. https://doi.org/10.1016/j.isprsjprs.2022.04.002
Kinematic training of convolutional neural networks for particle image velocimetry
Manickathan, L., Mucignat, C., & Lunati, I. (2022). Kinematic training of convolutional neural networks for particle image velocimetry. Measurement Science and Technology, 33(12), 124006 (16 pp.). https://doi.org/10.1088/1361-6501/ac8fae
Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
Pandiyan, V., Drissi-Daoudi, R., Shevchik, S., Masinelli, G., Le-Quang, T., Logé, R., & Wasmer, K. (2022). Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process. Journal of Materials Processing Technology, 303, 117531 (14 pp.). https://doi.org/10.1016/j.jmatprotec.2022.117531
In situ quality monitoring in direct energy deposition process using co-axial process zone imaging and deep contrastive learning
Pandiyan, V., Cui, D., Le-Quang, T., Deshpande, P., Wasmer, K., & Shevchik, S. (2022). In situ quality monitoring in direct energy deposition process using co-axial process zone imaging and deep contrastive learning. Journal of Manufacturing Processes, 81, 1064-1075. https://doi.org/10.1016/j.jmapro.2022.07.033
Monitoring of direct energy deposition process using manifold learning and co-axial melt pool imaging
Pandiyan, V., Cui, D., Parrilli, A., Deshpande, P., Masinelli, G., Shevchik, S., & Wasmer, K. (2022). Monitoring of direct energy deposition process using manifold learning and co-axial melt pool imaging. Manufacturing Letters, 33(Suppl.), 776-785. https://doi.org/10.1016/j.mfglet.2022.07.096
A cnn prediction method for belt grinding tool wear in a polishing process utilizing 3-axes force and vibration data
Caesarendra, W., Triwiyanto, T., Pandiyan, V., Glowacz, A., Permana, S. D. H., & Tjahjowidodo, T. (2021). A cnn prediction method for belt grinding tool wear in a polishing process utilizing 3-axes force and vibration data. Electronics, 10(12), 1429 (30 pp.). https://doi.org/10.3390/electronics10121429
Semi-supervised monitoring of laser powder bed fusion process based on acoustic emissions
Pandiyan, V., Drissi-Daoudi, R., Shevchik, S., Masinelli, G., Le-Quang, T., Logé, R., & Wasmer, K. (2021). Semi-supervised monitoring of laser powder bed fusion process based on acoustic emissions. Virtual and Physical Prototyping, 16(4), 481-497. https://doi.org/10.1080/17452759.2021.1966166