Active Filters

  • (-) Empa Authors = Shevchik, Sergey
  • (-) Publication Status ≠ Published
Search Results 1 - 12 of 12
  • RSS Feed
Select Page
Artificial intelligence for monitoring and control of metal additive manufacturing
Masinelli, G., Shevchik, S. A., Pandiyan, V., Quang-Le, T., & Wasmer, K. (2021). Artificial intelligence for monitoring and control of metal additive manufacturing. In M. Meboldt & C. Klahn (Eds.), Industrializing additive manufacturing. Proceedings of AMPA2020 (pp. 205-220). https://doi.org/10.1007/978-3-030-54334-1_15
Analysis of time, frequency and time-frequency domain features from acoustic emissions during laser powder-bed fusion process
Pandiyan, V., Drissi-Daoudi, R., Shevchik, S., Masinelli, G., Logé, R., & Wasmer, K. (2020). Analysis of time, frequency and time-frequency domain features from acoustic emissions during laser powder-bed fusion process. In M. Schmidt, F. Vollertsen, & E. Govekar (Eds.), Procedia CIRP: Vol. 94. 11th CIRP conference on photonic technologies [LANE 2020] (pp. 392-397). https://doi.org/10.1016/j.procir.2020.09.152
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.
<i>In situ</i> and real-time monitoring of powder-bed AM by combining acoustic emission and artificial intelligence
Wasmer, K., Kenel, C., Leinenbach, C., & Shevchik, S. A. (2018). In situ and real-time monitoring of powder-bed AM by combining acoustic emission and artificial intelligence. In M. Mebold & C. Klahn (Eds.), Industrializing additive manufacturing - proceedings of additive manufacturing in products and applications - AMPA2017 (pp. 200-209). https://doi.org/10.1007/978-3-319-66866-6_20
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
In situ quality monitoring in am using acoustic emission: a machine learning approach
Wasmer, K., Kenel, C., Leinenbach, C., & Shevchik, S. A. (2017). In situ quality monitoring in am using acoustic emission: a machine learning approach (pp. 386-388). Presented at the Materials science and technology (MS&T17). https://doi.org/10.7449/2017/MST_2017_386_388
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.