Experimental determination of the influence of spindle imbalance with boring bar on machining accuracy
DOI:
https://doi.org/10.15276/opu.1.71.2025.02Keywords:
spindle, joint, bearing, centrifugal force, imbalance, stiffnessAbstract
The influence of the parameters of the elastic system of the finishing and boring machine on static deformations, oscillations and accuracy of fine boring is studied. Based on experimental studies of the effect of spindle imbalance with a boring rod on machining accuracy, a method was developed for calculating deviations from roundness caused by the action of cutting forces and centrifugal forces on elastic systems with anisotropic rigidity. Static errors and deformation features in the closed dynamic system of the machine were also studied. The total deviation from roundness caused by elastic deformations is calculated as the sum of static and dynamic components. The mean values of the imbalance me, the mean square deviations of χ and the deviation of the maximum values of the imbalance memax to the permissible [me] are given. The effect of imbalance on the roughness of the treated surface has been established. Since the increase in deviations from roundness is caused by the ovalization of the hole, the reason for the violation of the accuracy of the cross-sectional shape with an increase in the transverse force is the anisotropy of the radial rigidity of the elastic system of the machine. Testing units of the same standard size under the same conditions, the ovalization of the holes does not remain constant, therefore, the anisotropy of elastic properties is associated with the individual quality of the spindle assembly, namely, with the accuracy of individual parts of the unit and their assembly.
Downloads
References
Oborskyi, H., Orgiyan, A., & Balaniuk, A. (2023). Balancing spindles with tools for finishing and boring machines. Proceedings of Odessa Polytechnic University, 1(67), 5–14. DOI: 10.15276/opu.1.67.2023.01.
Zaloha, V. O., Kryvoruchko, D. V., Shapoval, Y. V., & Drofa, K. A. (2017). Dynamic control of vibrations during turning. Mechanics and Advanced Technologies, (79), 100–107.
Zaloha, V. A., Zinchenko, R. N., & Shapoval, Y. V. (2014). Machining small diameter parts by turning with high spindle speed. Modern Technologies in Mechanical Engineering: Collection of Scientific Works, (9), 50–62.
Abele, E., Altintas, Y., & Brecher, C. (2010). Machine tool spindle units. CIRP Annals Volume, 59(2), 781–802. https://doi.org/10.1016/j.cirp.2010.05.002.
Li, Y., Yu, M., Bai, Y., Hou, Z., Zhang, H., & Wu, W. (2023). A heat dissipation enhancing method for the high-speed spindle based on heat conductive paths. Advances in Mechanical Engineering, 15(4). https://doi.org/10.1177/16878132231167675.
Wu, Y., & Zhang, L. (2020). Basic theory and method of spindle dynamic balance. In Intelligent Motorized Spindle Technology (pp. 71–99). Springer Tracts in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3328-0_4.
Shen, C., Wang, G., Wang, S., & Liu, G. (2011, August). The imbalance source of spindle-tool system and influence to machine vibration characteristics. In 2011 Second International Conference on Digital Manufacturing & Automation (pp. 1288–1291). IEEE. https://doi.org/10.1109/ICDMA.2011.317
Danylchenko, Y. M., & Petryshyn, A. I. (2012). Modeling of oscillation forms of the mechanical oscillatory system “spindle unit-base”. Reliability of Tools and Optimization of Technological Systems, (30), 309–316.
Danylchenko, Y. M., & Petryshyn, A. I. (2011). Dynamic analysis of the mechanical oscillatory system “spindle unit-base”. Reliability of Tools and Optimization of Technological Systems, (28), 169–174.
Danylchenko, Y., Petryshyn, A., Repinskyi, S., Bandura, V., Kalimoldayev, M., Gromaszek, K., & Imanbek, B. (2021). Dynamic characteristics of “tool-workpiece” elastic system in the low stiffness parts milling process. In Mechatronic Systems 2: Applications in Material Handling Processes and Robotics (pp. 225–236). Routledge.
Danylchenko, Y. M., & Petryshyn, A. I. (2014). Identification of spindle vibrations based on measurement results of spindle unit body vibrations. Bulletin of NTUU “KPI”, Series Machine Building, (71), 147–152.
Danylchenko, Y., Storchak, M., Danylchenko, M., & Petryshyn, A. (2023). Cutting process consideration in dynamic models of machine tool spindle units. Machines, 11(6), 582. https://doi.org/10.3390/machines11060582.
Sakhno, Y. Y., & Volyk, V. S. (2006). Mechanical processing of unbalanced parts on a lathe with hydrostatic supports. Bulletin of Engine Building, (2), 129–133.
Strutynskyi, V. B., & Fedorynenko, D. Y. (2011). Statistical dynamics of spindle units on hydrostatic supports: Monograph. Aspect-Polygraph Publishing House.
Shapoval, Y. V., & Kryvoruchko, D. V. (2014). Test bench for studying the turning process with high spindle rotation frequencies. Journal of Engineering Sciences, 1(3), 11–18.
Drach, I. V., & Roizman, V. P. (2018). Automatic balancing of rotating bodies by liquid: Monograph. KhNU.
Roizman, V. P., & Drach, I. V. (2015). Theoretical study of the automatic balancing process of rotors with a vertical axis of rotation by liquid working bodies (cases of ideal and viscous liquids). Vibrations in Engineering and Technologies, 3(79), 50–58.
Kalchenko, V. I., Sakhno, Y. Y., & Fedorynenko, D. Y. (1996). Ways to improve the process and devices for balancing rotors. Bulletin of Chernihiv Technological Institute, (1), 111–118.
Xu, C., Zhang, J., Yu, D., Wu, Z., & Feng, P. (2015). Dynamics prediction of spindle system using joint models of spindle tool holder and bearings. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229(17), 3084–3095. https://doi.org/10.1177/0954406215569588.
Rauscher, C. (2011). Grundlagen der Spektrumanalyse [Fundamentals of Spectral Analysis]. Rohde & Schwarz.
Orgiyan, A., Oborskyi, G., Balaniuk, A., Tonkonogyi, V., & Dasic, P. (2021). Development of calculation of statistical and dynamic errors upon fine boring with console boring bars. Lecture Notes in Mechanical Engineering, 588–597. https://doi.org/10.1007/978-3-030-68014-5_57.
