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Documents publiés en "2019"

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Nombre de documents: 8

G

Ghandali, P., Khameneifar, F., & Mayer, J. R. R. (2019). A pseudo-3D ball lattice artifact and method for evaluating the metrological performance of structured-light 3D scanners. Optics and Lasers in Engineering, 121, 87-95. Lien externe

H

Hashemiboroujeni, H., Esmaeili Marzdashti, S., Xing, K., & Mayer, J. R. R. (2019). Five-axis machine tool coordinate metrology evaluation using the ball dome artefact before and after machine calibration. Journal of Manufacturing and Materials Processing, 3(1), 20 (12 pages). Disponible

J

Jankowski, M., Wozniak, A., & Mayer, J. R. R. (décembre 2018). On-machine and In-laboratory Investigation of Errors of Probes for CNC Machine Tools [Communication écrite]. International Conference on Advances in Engineering Resesarch and Application (ICERA 2018), Thai Nguyen, Vietnam. Lien externe

M

Mchichi, N. A., & Mayer, J. R. R. (2019). Optimal calibration strategy for a five-axis machine tool accuracy improvement using the D-optimal approach. International Journal of Advanced Manufacturing Technology, 103(1-4), 251-265. Lien externe

X

Xing, K., Achiche, S., & Mayer, J. R. R. (décembre 2018). The Effects of Machine Tool Pallet Change on Machine Tool Geometric Measurement Using the Scale and Master Ball Artefact Method (SAMBA) [Communication écrite]. International Conference on Advances in Engineering Research and Application (ICERA 2018), Thai Nguyen, Vietnam. Lien externe

Xing, K., Achiche, S., & Mayer, J. R. R. (2019). Five-axis machine tools accuracy condition monitoring based on volumetric errors and vector similarity measures. International Journal of Machine Tools & Manufacture, 138, 80-93. Lien externe

Xing, K., Mayer, J. R. R., & Achiche, S. (juin 2019). Application of EWMA control chart on volumetric errors change recognition [Communication écrite]. Joint CSME-CFDSC International Congress, London, ON. Lien externe

Xing, K., Rimpault, X., Mayer, J. R. R., Chatelain, J.-F., & Achiche, S. (2019). Five-axis machine tool fault monitoring using volumetric errors fractal analysis. CIRP Annals, 168(1), 555-558. Lien externe

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