Active Filters

  • (-) Empa Authors = Meylan, Bastian
Search Results 1 - 20 of 27
Select Page
Effect of surface texturing on cast iron reciprocating against steel under starved lubrication condition
Saeidi, F., Meylan, B., Hoffmann, P., & Wasmer, K. (2014). Effect of surface texturing on cast iron reciprocating against steel under starved lubrication condition. Presented at the Swiss-japanese tribology meeting 2014: energy savings through tribology. Zürich, Switzerland.
Effect of surface texturing on tribological behavior of cast iron under starved lubrication
Saeidi, F., Hoffmann, P., Meylan, B., & Wasmer, K. (2015). Effect of surface texturing on tribological behavior of cast iron under starved lubrication. Presented at the WOM2015, wear of materials. Toronto, Canada.
A simple, fast and low-cost method for in situ monitoring of topographical changes and wear rate of a complex tribo-system under mixed lubrication
Meylan, B., Dogan, P., Sage, D., & Wasmer, K. (2016). A simple, fast and low-cost method for in situ monitoring of topographical changes and wear rate of a complex tribo-system under mixed lubrication. Wear, 364-365, 22-30. https://doi.org/10.1016/j.wear.2016.06.006
Effect of surface texturing on cast iron reciprocating against steel under starved lubrication conditions: a parametric study
Saeidi, F., Meylan, B., Hoffmann, P., & Wasmer, K. (2016). Effect of surface texturing on cast iron reciprocating against steel under starved lubrication conditions: a parametric study. Wear, 348-349, 17-26. https://doi.org/10.1016/j.wear.2015.10.020
A new ball-on-disk vacuum tribometer with <i>in situ</i> measurement of the wear track by digital holographic microscopy
Meylan, B., Ciani, D., Zhang, B., Cuche, E., & Wasmer, K. (2017). A new ball-on-disk vacuum tribometer with in situ measurement of the wear track by digital holographic microscopy. Surface Topography: Metrology and Properties, 5(4), 044004 (10 pp.). https://doi.org/10.1088/2051-672X/aa854a
Prediction of failure in lubricated surfaces using acoustic time–frequency features and random forest algorithm
Shevchik, S. A., Saeidi, F., Meylan, B., & Wasmer, K. (2017). Prediction of failure in lubricated surfaces using acoustic time–frequency features and random forest algorithm. IEEE Transactions on Industrial Informatics, 13(4), 1541-1553. https://doi.org/10.1109/TII.2016.2635082
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
Origin of scuffing in grey cast iron-steel tribo-system
Saeidi, F., Taylor, A. A., Meylan, B., Hoffmann, P., & Wasmer, K. (2017). Origin of scuffing in grey cast iron-steel tribo-system. Materials and Design, 116, 622-630. https://doi.org/10.1016/j.matdes.2016.12.044
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.
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.
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.
Acoustic emission for <i>in situ</i> monitoring of solid materials pre-weakening by electric discharge: a machine learning approach
Shevchik, S. A., Meylan, B., Mosaddeghi, A., & Wasmer, K. (2018). Acoustic emission for in situ monitoring of solid materials pre-weakening by electric discharge: a machine learning approach. IEEE Access, 6, 40313-40324. https://doi.org/10.1109/ACCESS.2018.2853666
Effect of surface texturing on cast iron reciprocating against steel under cyclic loading in boundary and mixed lubrication conditions
Meylan, B., Saeidi, F., & Wasmer, K. (2018). Effect of surface texturing on cast iron reciprocating against steel under cyclic loading in boundary and mixed lubrication conditions. Lubricants, 6(1), 2 (13 pp.). https://doi.org/10.3390/lubricants6010002
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
A new ball-on-disk vacuum tribometer with in situ measurement of the wear track by digital holographic microscopy
Zhang, B., Meylan, B., Wasmer, K., & Cuche, E. (2018). A new ball-on-disk vacuum tribometer with in situ measurement of the wear track by digital holographic microscopy. In M. F. B. Abdollah (Ed.), Proceedings of Asia international conference on tribology 2018 (pp. 109-110). Malaysian Tribology Society.
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
3D reconstruction of cracks propagation in mechanical workpieces analyzing non-stationary acoustic mixtures
Shevchik, S. A., Meylan, B., Violakis, G., & Wasmer, K. (2019). 3D reconstruction of cracks propagation in mechanical workpieces analyzing non-stationary acoustic mixtures. Mechanical Systems and Signal Processing, 119, 55-64. https://doi.org/10.1016/j.ymssp.2018.09.022
Characterization of ablated bone and muscle for long-pulsed laser ablation in dry and wet conditions
Nguendon Kenhagho, H., Shevchik, S., Saeidi, F., Faivre, N., Meylan, B., Rauter, G., … Zam, A. (2019). Characterization of ablated bone and muscle for long-pulsed laser ablation in dry and wet conditions. Materials, 12(8), 1338 (16 pp.). https://doi.org/10.3390/ma12081338
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
In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach
Wasmer, K., Le-Quang, T., Meylan, B., & Shevchik, S. A. (2019). In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach. Journal of Materials Engineering and Performance, 28(2), 666-672. https://doi.org/10.1007/s11665-018-3690-2