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Esmaeili, S. M., & Mayer, J. R. R. (2020). Generation of a 3D error compensation grid from ISO 230-1 error parameters obtained by a SAMBA indirect calibration and validated by a ball-bar spherical test. International Journal of Advanced Manufacturing Technology, 106(11-12), 4649-4662. Lien externe
Esmaeili, S., & Mayer, J. R. R. (2020). An integrated geometric and hysteretic error model of a three axis machine tool and its identification with a 3D telescoping ball-bar. Journal of Manufacturing and Materials Processing, 4(1), 14 pages. Disponible
Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (2020). Repeatability of on-machine probing by a five-axis machine tool. International Journal of Machine Tools and Manufacture, 152, 19 pages. Lien externe
Xing, K., Liu, X., Liu, Z., Mayer, J. R. R., & Achiche, S. (octobre 2020). Low-Cost Precision Monitoring System of Machine Tools for SMEs [Communication écrite]. 8th CIRP Global Web Conference on Flexible Mass Customisation (CIRPe 2020). Publié dans Procedia CIRP, 96. Lien externe
Xing, K., Mayer, J. R. R., & Achiche, S. (2020). Impact of Model Complexity in the Monitoring of Machine Tools Condition Using Volumetric Errors. International Journal of Automation Technology, 14(3), 369-379. Lien externe
Xing, K., Rimpault, X., Mayer, J. R. R., Chatelain, J.-F., & Achiche, S. (octobre 2019). Quantitative assessment of machine tools condition through fractal analysis of volumetric error vector similarity measures [Communication écrite]. 7th CIRP Global Web Conference (CIRPe 2019), Berlin, Germany. Publié dans Procedia CIRP, 86. Lien externe
