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  • (-) Empa Authors = Shevchik, Sergey
  • (-) Keywords ≠ additive manufacturing
  • (-) Publication Status ≠ Published
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Smart closed-loop control of laser welding using reinforcement learning
Le Quang, T., Meylan, B., Masinelli, G., Saeidi, F., Shevchik, S. A., Farahani, F. V., & Wasmer, K. (2022). Smart closed-loop control of laser welding using reinforcement learning. In M. Schmidt, F. Vollertsen, & B. M. Colosimo (Eds.), Procedia CIRP: Vol. 111. 12th CIRP conference on photonic technologies [LANE 2022] (pp. 479-483). https://doi.org/10.1016/j.procir.2022.08.074
Piezo acoustic versus opto-acoustic sensors in laser processing
Wasmer, K., Le-Quang, T., Shevchik, S. A., & Violakis, G. (2019). Piezo acoustic versus opto-acoustic sensors in laser processing. In NDT.net (p. (8 pp.).
Why is in situ quality control of laser keyhole welding a real challenge?
Le-Quang, T., Shevchik, S. A., Meylan, B., Vakili-Farahani, F., Olbinado, M. P., Rack, A., & Wasmer, K. (2018). Why is in situ quality control of laser keyhole welding a real challenge? In M. Schmidt, F. Vollertsen, & G. Dearden (Eds.), Procedia CIRP: Vol. 74. 10th CIRP conference on photonic technologies [LANE 2018] (pp. 649-653). https://doi.org/10.1016/j.procir.2018.08.055
Acoustic Emission for <i>in situ</i> monitoring of laser processing
Shevchik, S., Le, Q. T., Meylan, B., & Wasmer, K. (2018). Acoustic Emission for in situ monitoring of laser processing. In Conference proceedings Ewgae 2018 (p. (9 pp.). CETIM.
AM/LW process monitoring combining high-speed X-ray imaging, acoustic & optical sensors and artificial intelligence
Wasmer, K., Le, T. Q., Meylan, B., Vakili-Farahani, F., Leinenbach, C., Olbinado, M. P., … Shevchik, S. A. (2018). AM/LW process monitoring combining high-speed X-ray imaging, acoustic & optical sensors and artificial intelligence. Presented at the ESRF user meeting 2018. Grenoble, France.
Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach
Wasmer, K., Le-Quang, T., Meylan, B., Vakili-Farahani, F., Olbinado, M. P., Rack, A., & Shevchik, S. A. (2018). Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach. In M. Schmidt, F. Vollertsen, & G. Dearden (Eds.), Procedia CIRP: Vol. 74. 10th CIRP conference on photonic technologies [LANE 2018] (pp. 654-658). https://doi.org/10.1016/j.procir.2018.08.054
When AE (acoustic emission) meets AI (artificial intelligence) II
Wasmer, K., Saeidi, F., Meylan, B., Le, Q. T., & Shevchik, S. A. (2018). When AE (acoustic emission) meets AI (artificial intelligence) II. In Conference proceedings Ewgae 2018 (p. (12 pp.). CETIM.
Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation
Nguendon, H. K., Faivre, N., Meylan, B., Shevchik, S., Rauter, G., Guzman, R., … Zam, A. (2017). Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation. Proceedings of SPIE: Vol. 10417. (p. 104170N (10 pp.). Presented at the European conference on biomedical optics, ECBO 2017. https://doi.org/10.1117/12.2286121
Sensors networks and machine learning in industry 4.0
Wasmer, K., & Shevchik, S. A. (2017). Sensors networks and machine learning in industry 4.0. Presented at the IEEE Swiss CAS/ED workshop 2017 on real-time deep learning workshop (RTDL 2017). Zürich, Switzerland: IEEE.