... in the FRF calculation process, the incremental self-excitation is assumed to be a Gaussian pulse, and its identification method is provided. Subsequently, the dimensionality requirement for identifying the nine-item (direct and cross) FRFs is effectively reduced using the modal directionality of milling...

.... computer-integrated manufacturing identification machine tool dynamics modal analysis modeling and simulation 03 09 2020 14 10 2020 14 10 2020 09 12 2020 Email: altintas@mech.ubc.ca Email: hoainam.huynh@ubc.ca The modeled (subscript m ) natural frequencies...

... thickness effect. Experimental analyses demonstrate the validity of the proposed model by verifying the level of periodicity in the cutting forces present at various feeds per tooth. A key finding of this study is the identification of a local maximum in the radial thrust forces in the micromilling process...

.... , and Moore , J. B. , 1975 , “ Identification of Autoregressive Moving-Average (ARMA) Parameters of a Time Series ,” IEEE Trans. Autom. Control , AC-20 ( 1 ), pp. 104 – 107 . Kay, S. M., and Marple, S. L., Jr., 1981, “Spectrum Analysis—A Modern Perspective,” Proceedings of IEEE , 69 (11), pp. 1380...

... are investigated from the dynamic system viewpoint. The pseudo-hysteresis effect is revealed to be the major factor causing poor robustness of the conventional static thermal error model. System identification theory is applied to build the dynamic thermal error model for machine tool thermal error on-line...

...J.-J. Junz Wang, Associate Professor, Mem., ASME; C. M. Zheng, Graduate Student Online methods for the identification of shearing and plowing cutting constants from forces in a single milling operation are presented. By virtue of the analytical nature of the milling force model in the frequency...