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Metal‐textile laser welding for wearable sensors applications
Fromme, N. P., Li, Y., Camenzind, M., Toncelli, C., & Rossi, R. M. (2021). Metal‐textile laser welding for wearable sensors applications. Advanced Electronic Materials. https://doi.org/10.1002/aelm.202001238
Design of a lightweight passive orthosis for tremor suppression
Fromme, N. P., Camenzind, M., Riener, R., & Rossi, R. M. (2020). Design of a lightweight passive orthosis for tremor suppression. Journal of NeuroEngineering and Rehabilitation, 17, 47 (15 pp.). https://doi.org/10.1186/s12984-020-00673-7
Adaptive laser welding control: a reinforcement learning approach
Masinelli, G., Le-Quang, T., Zanoli, S., Wasmer, K., & Shevchik, S. A. (2020). Adaptive laser welding control: a reinforcement learning approach. IEEE Access, 8, 103803-103814. https://doi.org/10.1109/ACCESS.2020.2998052
Re-solidification dynamics and microstructural analysis of laser welded aluminium
Meylan, B., Le-Quang, T., Olbinado, M. P., Rack, A., Shevchik, S. A., & Wasmer, K. (2020). Re-solidification dynamics and microstructural analysis of laser welded aluminium. International Journal of Materials Research, 111(1), 17-22. https://doi.org/10.3139/146.111838
Influence of temporal and spectral profiles of lasers on weld quality of titanium
Mohanta, A., Leistner, M., & Leparoux, M. (2020). Influence of temporal and spectral profiles of lasers on weld quality of titanium. Optics and Lasers in Engineering, 134, 106173 (11 pp.). https://doi.org/10.1016/j.optlaseng.2020.106173
Spectroscopic investigation of laser produced plasma of carbon nanotube reinforced AlMg5 metal matrix nanocomposites
Mohanta, A., & Leparoux, M. (2019). Spectroscopic investigation of laser produced plasma of carbon nanotube reinforced AlMg5 metal matrix nanocomposites. Optics and Lasers in Engineering, 121, 37-45. https://doi.org/10.1016/j.optlaseng.2019.03.007
Laser welding quality monitoring via graph support vector machine with data adaptive kernel
Shevchik, S. A., Le-Quang, T., Farahani, F. V., Faivre, N., Meylan, B., Zanoli, S., & Wasmer, K. (2019). Laser welding quality monitoring via graph support vector machine with data adaptive kernel. IEEE Access, 7, 93108-93122. https://doi.org/10.1109/ACCESS.2019.2927661
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
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
Control of porosity and spatter in laser welding of thick AlMg5 parts using high-speed imaging and optical microscopy
Popescu, A. C., Delval, C., & Leparoux, M. (2017). Control of porosity and spatter in laser welding of thick AlMg5 parts using high-speed imaging and optical microscopy. Metals, 7(11), 452 (12 pp.). https://doi.org/10.3390/met7110452
Absorbing TiO<em><sub>x</sub></em> thin film enabling laser welding of polyurethane membranes and polyamide fibers
Amberg, M., Haag, A., Storchenegger, R., Rupper, P., Lehmeier, F., Rossi, R. M., & Hegemann, D. (2015). Absorbing TiOx thin film enabling laser welding of polyurethane membranes and polyamide fibers. Science and Technology of Advanced Materials, 16(5), 055002 (7 pp.). https://doi.org/10.1088/1468-6996/16/5/055002