Abstract
Contact characteristics of joint surface of high-speed spindle-toolholder/toolholder-tool not only have important influences on dynamics of the spindle, also closely related to the stability of high-speed cutting. Accurate modeling and identification of the spindle-toolholder or toolholder-tool joint not only helps to improve the prediction accuracy of the dynamics of the spindle system in the design stage, also guide the assembly process and correct selection of cutting parameters in the cutting stage. In this paper, the dynamics modeling methods of the spindle-toolholder joint surface were reviewed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Olvera, D., Lacalle, L., Compeán, F., et al.: Analysis of the tool tip radial stiffness of turn-milling centers. Int. J. Adv. Manuf. Technol. 60(9–12), 883–891 (2012)
Li, H., Shin, Y.: Integrated dynamic thermo-mechanical modeling of high speed spindles, part 1: model development. J. Manuf. Sci. Eng. 126(1), 148–158 (2004)
Zhang Xueliang, X.U., Kening, W.S.: Review and prospect of the research on the static and dynamic characteristics of machine joint surfaces. J. Taiyuan Heavymach. Inst. 23(3), 276–281 (2002)
Xu, C., Zhang, J., Wu, Z., et al.: Dynamic modeling and parameters identification of a spindle-holder taper joint. Int. J. Adv. Manuf. Technol. 67(5–8), 1517–1525 (2013)
Tian, H., Li, B., Liu, H., et al.: A new method of virtual material hypothesis-based dynamic modeling on fixed joint interface in machine tools. Int. J. Mach. Tools Manuf 51(3), 239–249 (2011)
Mao, K., Li, B., Wu, J., et al.: Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools. Int. J. Mach. Tools Manuf 50(2), 156–164 (2010)
Yang, Y., Wan, M., Ma, Y.C., et al.: An improved method for tool point dynamics analysis using a bi-distributed joint interface model. Int. J. Mech. Sci. 105, 239–252 (2016)
Namazi, M.: Mechanics and Dynamics of the Tool Holder-Spindle Interface, University of British Columbia (2006)
Schmitz, T., Donalson, R.: Predicting high-speed machining dynamics by substructure analysis. CIRP Ann. Manuf. Technol. 49(1), 303–308 (2000)
Yang, Y., Zhang, W., Ma, Y., et al.: Generalized method for the analysis of bending, torsional and axial receptances of tool–holder–spindle assembly. Int. J. Mach. Tools Manuf 99, 48–67 (2015)
Namazi, M., Altintas, Y., Abe, T., et al.: Modeling and identification of tool holder–spindle interface dynamics. Int. J. Mach. Tools Manuf 47(9), 1333–1341 (2007)
Movahhedy, M., Gerami, J.: Prediction of spindle dynamics in milling by sub-structure coupling. Int. J. Mach. Tools Manuf 46(3), 243–251 (2006)
Ahmadi, K., Ahmadian, H.: Modelling machine tool dynamics using a distributed parameter tool–holder joint interface. Int. J. Mach. Tools Manuf 47(12), 1916–1928 (2007)
Ahmadian, H., Nourmohammadi, M.: Tool point dynamics prediction by a three-component model utilizing distributed joint interfaces. Int. J. Mach. Tools Manuf 50(11), 998–1005 (2010)
Grossi, N., Montevecchi, F., Scippa, A., et al.: 3D finite element modeling of holder-tool assembly for stability prediction in milling. Procedia Cirp 31, 527–532 (2015)
Wan, A.: Research on Experiment and Calculation Method of Dynamic Characteristics of Mechanical Joint Surface. Wuhan University of Technology (2012)
Xueliang, Z., Huang Yumei, F., Weiping, et al.: Fractal model of normal contact stiffness between roughness surfaces. Chinese J. Appl. Mech. 17(2), 31–35 (2000)
Bhushan, B.: Introduction to Tribology. Wiley, New York (2002)
Han, Z., Qi, C., Kang, H.: Fractal model of normal contact stiffness between two cylinders’ joint interfaces. J. Mech. Eng. 47(7), 53–58 (2011)
Zhao, Y., Song, X., Cai, L., et al.: Surface fractal topography-based contact stiffness determination of spindle–toolholder joint. Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 230(4), 602–610 (2016)
Du, F., Li, B., Zhang, J., et al.: Ultrasonic measurement of contact stiffness and pressure distribution on spindle–holder taper interfaces. Int. J. Mach. Tools Manuf 97, 18–28 (2015)
Erzurumlu, T., Oktem, H.: Comparison of response surface model with neural network in determining the surface quality of moulded parts. Mater. Des. 28(2), 459–465 (2007)
Xueliang, Z., Yumei, H., Shuhua, W.: Modeling and application of static foundation characteristic parameters of machine tool joint surface. Manuf. Technol. Mach. Tool 11, 8–10 (1997)
Yang Hongping, F.U., Weiping, S.B.: Modeling of machined joints normal stiffness using modified PSO-BP neural network algorithm. Trans. Chinese Soc. Agric. Mach. 42(3), 119–223 (2011)
Sonbaty, I.A., Khashaba, U., Selmy, A., et al.: Prediction of surface roughness profiles for milled surfaces using an artificial neural network and fractal geometry approach. J. Mater. Process. Technol. 200(1–3), 271–278 (2008)
Gagnol, V., L, et al.: Modal identification of spindle-tool unit in high-speed machining. Mech. Syst. Signal Process. 25(7), 2388–2398 (2011)
Rantatalo, M., Aidanpää, J., Göransson, B., et al.: Milling machine spindle analysis using FEM and non-contact spindle excitation and response measurement. Int. J. Mach. Tools Manuf 47(7), 1034–1045 (2007)
Jiang, Y., Liu, X., Wu, S., et al.: Dynamics characteristics of the spindle system with the interface and axial milling force. J. Mech. Eng. 51(19), 66–74 (2015)
Xu, C., Zhang, J., Feng, P., et al.: Characteristics of stiffness and contact stress distribution of a spindle-holder taper joint under clamping and centrifugal forces. Int. J. Mach. Tools Manuf 82–83(7), 21–28 (2014)
Zhao, Y., Xu, J., Cai, L., et al.: Contact stiffness analysis of spindle-toolholder system with high speed, J. Huazhong Univ. Sci. Technol. (Natural Science Edition), 44(7), 91–95 (2016)
Acknowledgment
This work was financially supported by Open Research Fund by Jiangsu Key La-boratory of Recycling and Reuse Technology for Mechanical and Electronic Products (RPME-KF1609).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, T., Xu, Z., Guan, J., Song, J. (2022). Current Research State on Interface Dynamics of Spindle-Toolholder. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_60
Download citation
DOI: https://doi.org/10.1007/978-981-19-0572-8_60
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0571-1
Online ISBN: 978-981-19-0572-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)