Pham Quy Duc, T., Hoang, T. V., Tran, X. V., Fetni, S., Duchene, L., Tran, H. S., & Habraken, A. (06 October 2023). A framework for the robust optimization under uncertainty in additive manufacturing. Journal of Manufacturing Processes, 103, 53 - 63. doi:10.1016/j.jmapro.2023.08.009 |
Habraken, A., Jardin Tome, R., Pham Quy Duc, T., Tchuindjang, J. T., Carrus, R., Tuninetti, Duchene, L., Mertens, A., Hoang, T. V., & Tran Xuan Van. (05 October 2023). Simulations of Directed Energy Deposition process, High Speed Steel [Paper presentation]. 3rd International Workshop on Plasticity, Damage and Fracture of Engineering Materials, 4-6 October 2023, İstanbul, Türkiye (Hybrid), Istanbul, Turkey. |
Pham Quy Duc, T., Truong Vinh Hoang, Xuan Van Tran, Quoc Tuan Pham, Seif Fetni, Duchene, L., Tran Son Hoang, & Habraken, A. (17 May 2022). Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model. Probabilistic Engineering Mechanics, 69, 103297. doi:10.1016/j.probengmech.2022.103297 |
Pham Quy Duc, T., Hoang, T. V., Van Tran, X., Tuan Pham, Q., Fetni, S., Duchene, L., Tran, H. S., & Habraken, A. (2022). Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning. Journal of Intelligent Manufacturing. doi:10.1007/s10845-021-01896-8 |
Pham Quy Duc, T., Hoang, T. V., Tran, X. V., Fetni, S., Duchene, L., Tran, H. S., & Habraken, A. (2022). Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach. In G. Vincze & F. Barlat (Eds.), Achievements and Trends in Material Forming- Peer-reviewed extended papers selected from the 25th International Conference on Material Forming, ESAFORM 2022. Trans Tech Publications Ltd. doi:10.4028/p-j9chvq |
Pham Quy Duc, T., Vinh Hoang, T., Tuan Pham, Q., Phuc Huynh, T., Xuan Tran, V., El Fetni, S., Tran, H. S., & Habraken, A. (2021). Data-driven Prediction of Temperature Evolution in Metallic Additive Manufacturing Process. In A. Habraken, L. Duchêne, ... A. Mertens, ESAFORM 2021: The 24th International ESAFORM Conference on Material Forming. Liege, Belgium: PoPuPs. doi:10.25518/esaform21.2599 |
Le-Hong, T., Lin, P. C., Chen, J.-Z., Pham Quy Duc, T., & Van Tran, X. (2021). Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting. Journal of Intelligent Manufacturing, 34 (3), 1241 - 1257. doi:10.1007/s10845-021-01845-5 |