Abstract
This study presents a rapid predicting method for lower-order dynamic performances of machine tools. Firstly, the governing equation of motion of the component substructure is obtained drawing on the dynamic condensation from the finite element analysis. Secondly, employing the rigid multipoint constraints at the joint and interface level, the improved reduced dynamic model of component substructures is formulated, resulting in a minimum set of generalized coordinates for external nodes. Then, utilizing the screw theory, the local stiffness mapping between joint and interfaces is illustrated. This is followed by merging the component and joint substructures, resulting in the reduced dynamic model of the entire machine tool. The proposed model is hugely efficient for predicting the distributions of dynamic performances within the entire workspace and guiding the optimal functional design under the framework of virtual machine tools. Finally, a comparison study on a box-in-box type precision horizontal machine tool shows that the lower-order dynamics predicted within the proposed approach have the same trend as those obtained by a complete order finite element model. The experimental modal analysis test shows that the errors of natural frequencies between the proposed model and experiments are lower than 15.61%, demonstrating the effectiveness and accuracy of the proposed model.
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References
Altintas, Y. (2000). Manufacturing automation. Cambridge University Press. https://doi.org/10.1017/CBO9780511843723
Lin, C. W., Lin, Y. K., & Chu, C. H. (2013). Dynamic models and design of spindle-bearing systems of machine tools: A review. International Journal of Precision Engineering and Manufacturing, 14(3), 513–521. https://doi.org/10.1007/s12541-013-0070-6
Lu, H., Ding, Y., Chang, Y., Chen, G., & Rui, X. (2020). Dynamics modelling and simulating of ultra-precision fly-cutting machine tool. International Journal of Precision Engineering and Manufacturing, 21(2), 189–202. https://doi.org/10.1007/s12541-019-00239-1
Liu, Y. P., & Altintas, Y. (2022). Predicting the position-dependent dynamics of machine tools using progressive network. Precision Engineering, 73, 409–422. https://doi.org/10.1016/j.precisioneng.2021.10.010
Chan, Y. J., & Huang, J. W. (2018). Time-domain operational modal analysis in machine tools: Optimal parameters and practical issues. International Journal of Precision Engineering and Manufacturing, 19(6), 889–897. https://doi.org/10.1007/s12541-018-0105-0
Hong, D., Kim, S., Choi, W. C., & Song, J.-B. (2003). Analysis of machining stability for a parallel machine tool. Mechanics Based Design of Structures and Machines, 31(4), 509–528. https://doi.org/10.1081/sme-120023169
Whalley, R., Ebrahimi, M., & Abdul-Ameer, A. A. (2005). Hybrid modelling of machine tool axis drives. International Journal of Machine Tools and Manufacturing, 45(14), 1560–1576. https://doi.org/10.1016/j.ijmachtools.2005.03.002
Ahmadi, K., & Ahmadian, H. (2007). Modelling machine tool dynamics using a distributed parameter tool-holder joint interface. International Journal of Machine Tools and Manufacturing, 47(12–13), 1916–1928. https://doi.org/10.1016/j.ijmachtools.2007.03.004
Ren, Y., & Beards, C. F. (1998). Identification of “effective” linear joints using coupling and joint identification techniques. Journal of Vibration and Acoustics-Transactions of the ASME, 120(2), 331–338. https://doi.org/10.1115/1.2893835
Huang, H. W., Tsai, M. S., & Huang, Y. C. (2018). Modeling and elastic deformation compensation of flexural feed drive system. International Journal of Machine Tools and Manufacturing, 132, 96–112. https://doi.org/10.1016/j.ijmachtools.2018.05.002
Piras, G., Cleghorn, W. L., & Mills, J. K. (2005). Dynamic finite-element analysis of a planar high-speed, high-precision parallel manipulator with flexible links. Mechanism and Machine Theory, 40(7), 849–862. https://doi.org/10.1016/j.mechmachtheory.2004.12.007
Lian, B., Wang, L., & Wang, X. V. (2019). Elastodynamic modeling and parameter sensitivity analysis of a parallel manipulator with articulated traveling plate. International Journal of Advanced Manufacturing Technology, 102, 1583–1599. https://doi.org/10.1007/s00170-018-03257-x
Venugopal, P. R., Kalayarasan, M., Thyla, P. R., Mohanram, P. V., Nataraj, M., Mohanraj, S., & Sonawane, H. (2019). Structural investigation of steel-reinforced epoxy granite machine tool column by finite element analysis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(11), 2267–2279. https://doi.org/10.1177/1464420719840592
Polyakov, A. N., & Kamenev, S. V. (2019). A method to select the finite element models for the structural analysis of machine tools. Journal of Physics Conference Series, 1399, 044033. https://doi.org/10.1088/1742-6596/1399/4/044033
Huang, T. Y., & Lee, J. J. (2001). On obtaining machine tool stiffness by CAE techniques. International Journal of Machine Tools and Manufacturing, 41(8), 1149–1163. https://doi.org/10.1016/S0890-6955(01)00012-8
Ma, Y., Niu, W. T., Luo, Z. J., Yin, F., & Huang, T. (2016). Static and dynamic performance evaluation of a 3-DOF spindle head using CAD-CAE integration methodology. Robotics and Computer-Integrated Manufacturing, 41, 1–12. https://doi.org/10.1016/j.rcim.2016.02.006
Wang, J., Niu, W., Ma, Y., Xue, L., Cun, H., Nie, Y., & Zhang, D. (2017). A CAD/CAE-integrated structural design framework for machine tools. International Journal of Advanced Manufacturing Technology, 91(1–4), 545–568. https://doi.org/10.1007/s00170-016-9721-y
Rui, X., He, B., Lu, Y., Lu, W., & Wang, G. (2005). Discrete time transfer matrix method for multibody system dynamics. Multibody System Dynamics, 14, 317–344. https://doi.org/10.1007/s11044-005-5006-1
Rui, X., Bestle, D., Zhang, J., & Zhou, Q. (2016). A new version of transfer matrix method for multibody systems. Multibody System Dynamics, 38, 137–156. https://doi.org/10.1007/s11044-016-9528-5
Abbas, L. K., Zhou, Q., Hendy, H., & Rui, X. (2015). Transfer matrix method for determination of the natural vibration characteristics of elastically coupled launch vehicle boosters. Acta Mechanica Sinica, 31, 570–580. https://doi.org/10.1007/s10409-015-0425-6
Ding, J., Chang, Y., Chen, P., Zhuang, H., Ding, Y., Lu, H., & Chen, Y. (2020). Dynamic modeling of ultra-precision fly cutting machine tool and the effect of ambient vibration on its tool tip response. International Journal of Extreme Manufacturing, 2(2), 025301. https://doi.org/10.1088/2631-7990/ab7b59
Farhat, C., & Geradin, M. (1994). On a component mode synthesis method and its application to incompatible substructures. Computers and Structures, 51(5), 459–473. https://doi.org/10.1016/0045-7949(94)90053-1
Park, K. C., & Park, Y. H. (2004). Partitioned component mode synthesis via a flexibility approach. AIAA Journal, 42(6), 1236–1245. https://doi.org/10.2514/1.10423
Jakobsson, H., Bengzon, F., & Larson, M. G. (2011). Adaptive component mode synthesis in linear elasticity. International Journal for Numerical Methods in Engineering, 86(7), 829–844. https://doi.org/10.1002/nme.3078
Law, M., Altintas, Y., & Phani, A. S. (2013). Rapid evaluation and optimization of machine tools with position-dependent stability. International Journal of Machine Tools and Manufacturing, 68, 81–90. https://doi.org/10.1016/j.ijmachtools.2013.02.003
Law, M., Phani, A. S., & Altintas, Y. (2013). Position-dependent multibody dynamic modeling of machine tools based on improved reduced order models. Journal of Manufacturing Science and Engineering-Transactions of the ASME, 135(2), 2186–2199. https://doi.org/10.1115/1.4023453
Law, M., & Ihlenfeldt, S. (2014). A frequency-based substructuring approach to efficiently model position-dependent dynamics in machine tools. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 229(3), 304–317. https://doi.org/10.1177/1464419314562264
Wu, L., Wang, G., Liu, H., & Huang, T. (2018). An approach for elastodynamic modeling of hybrid robots based on substructure synthesis technique. Mechanism and Machine Theory, 123, 124–136. https://doi.org/10.1016/j.mechmachtheory.2017.12.019
Heirman, G., & Desmet, W. (2010). Interface reduction of flexible bodies for efficient modeling of body flexibility in multibody dynamics. Multibody System Dynamics, 24(2), 219–234. https://doi.org/10.1007/s11044-010-9198-7
Bampton, M., & Craig, J. (1968). Coupling of substructures for dynamic analyses. AIAA Journal, 6(7), 1313–1319. https://doi.org/10.2514/3.4741
Mario, P. (1984). Dynamic condensation. AIAA Journal, 22(5), 724–727. https://doi.org/10.2514/3.48498
Masson, G., Brik, B. A., Cogan, S., & Bouhaddi, N. (2006). Component mode synthesis (CMS) based on an enriched Ritz approach for efficient structural optimization. Journal of Sound and Vibration, 296(4–5), 845–860. https://doi.org/10.1016/j.jsv.2006.03.024
Altintas, Y., Verl, A., Brecher, C., Uriarte, L., & Pritschow, G. (2011). Machine tool feed drives. CIRP Annals Manufacturing Technology, 60(2), 779–796. https://doi.org/10.1016/j.cirp.2011.05.010
Acknowledgements
This work was funded by the EU Grant H2020-RISE-ECSASDPE (734272) and the China Scholarship Council (201908080118).
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Ma, Y., Tian, Y. & Liu, X. Rapid Predictions for Lower-Order Dynamics of Machine Tools Based on the Rigid Multipoint Constraints. Int. J. Precis. Eng. Manuf. 24, 485–500 (2023). https://doi.org/10.1007/s12541-022-00761-9
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DOI: https://doi.org/10.1007/s12541-022-00761-9