Skip to main content
SpringerLink
Log in

Research on thermal dynamics characteristics and modeling approach of ball screw

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Empirical modeling of machine tools on thermal error has been widely researched, which can compensate for thermal error to some extent but not suitable for thermal dynamic error produced by dynamics heat sources. Ball screw is the main member of feed system of machine tool. On the basis of the theory of heat transfer, thermoelastic phenomenon of unidimensional heat transferring of the ball screw influenced by changeable heat sources is analyzed. A method to establish a dynamics characteristics model of thermal deformation of the ball screw based on least square system identification theory is put forward. Through simulation data, correctness and validity of modeling approach is proven. By this method, modeling of thermal error of X-axis of feed system of DM4600 vertical miller is established which has good identification effect.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Wu N, Hu R (2004) Influence of rigidity of feed system with ball screw in NC lathe on positioning precision. Chin Eng Sci 9:46–49

    Google Scholar 

  2. Zou X (1997) Position precision of NC machine tool’s feed system. Journal of Nanchang University (Engineering & Technology) 12:85–88

    Google Scholar 

  3. Choi JK, Lee DG (1998) Thermal characteristics of the spindle bearing system with a gear located on the bearing span. Int J Mach Tools Manuf 38:1017–1030. doi:10.1016/S0890-6955(97)00075-8

    Article  Google Scholar 

  4. Lee SK, Yoo JH, Yang MS (2003) Effect of thermal deformation on machine tool slide guide motion. Tribology 36:41–47

    Article  Google Scholar 

  5. Kim SK, Cho DW (1997) Real time estimation of temperature distribution in a ball-screw system. Int J Mach Tools Manuf 37(4):451–464. doi:10.1016/S0890-6955(96)00036-3

    Article  Google Scholar 

  6. Yuan J, Ni J (1998) The real-time error compensation technique for CNC machining systems. Mechatronics 8:359–380. doi:10.1016/S0957-4158(97)00062-7

    Article  Google Scholar 

  7. Yang H, Ni J (2005) Adaptive model estimation of machine-tool thermal errors based on recursive dynamic modeling strategy. Int J Mach Tools Manuf 45:1–11. doi:10.1016/j.ijmachtools.2004.06.023

    Article  Google Scholar 

  8. Li YX, Yang JG, Gelvis T, Li YY (2008) Optimization of measuring points for machine tool thermal error based on grey system theory. Int J Adv Manuf Technol 35(7–8):745–750. doi:10.1007/s00170-006-0751-8

    Article  Google Scholar 

  9. Chen JS, Chiou G (1995) Quick testing and moding of thermally induced errors of CNC machine tools. Int J Mach Tools Manuf 35:1063–1074. doi:10.1016/0890-6955(94)00101-O

    Article  Google Scholar 

  10. Srivastava AK, Veldhuis SC (1995) Modelling geometric and thermal errors in a five-axis CNC machine tool. Int J Mach Tools Manuf 35:1321–1337. doi:10.1016/0890-6955(94)00048-O

    Article  Google Scholar 

  11. Huang S-C (1995) Analysis of a model to forecast thermal deformation of ball screw feed drive systems. Int J Mach Tools Manuf 35:1099–1104. doi:10.1016/0890-6955(95)90404-A

    Article  Google Scholar 

  12. Wu CH, Kung YT (2003) Thermal analysis for the feed drive system of a CNC machine center. Int J Mach Tools Manuf 43:1001–1528. doi:10.1016/S0890-6955(03)00093-2

    Article  Google Scholar 

  13. Song X, Wang Z, Liu X (2006) The thermal deformation control during precision ball screw grinding. Manuf Technol Mach Tool 1:59–61

    Google Scholar 

  14. Zhaonian C, Chen Z (1981) The basic of machine tool’s thermal characteristic. Mechanical Industry Press, Beijing

    Google Scholar 

  15. Li H, Yung SC (2004) Analysis of bearing conguration effects on high speed spindles using an integrated dynamic thermo-mechanical spindle model. Int J Mach Tools Manuf 44:347–364. doi:10.1016/j.ijmachtools.2003.10.011

    Article  Google Scholar 

  16. Fu J, Chen Z (2004) Research on modeling dynamic errors of precision machine based on fuzzy logic and artificial neural network. Journal of Zhejiang University 6:32–36

    MathSciNet  Google Scholar 

  17. Yang H, Ni J (2005) Dynamic neural network modeling for nonlinear, nonstationary machine tool thermally induced error. Int J Mach Tools Manuf 45:455–465. doi:10.1016/j.ijmachtools.2004.09.004

    Article  Google Scholar 

  18. Yang H, Ni J (2003) Dynamic modeling for machine tool thermal error compensation. ASME Trans J Manuf Sci Eng 125:245–254. doi:10.1115/1.1557296

    Article  Google Scholar 

  19. Yu C (1982) Heat transfer and numerical analyse. Press of Qinghua University, Beijing

    Google Scholar 

  20. Yu Z, Lu L (1995) Heat transferring. High Educ Press 5:14–31

    Google Scholar 

  21. Ljung L (1999) System identification—theory for user. Tsinghua University Press, Beijing

    Google Scholar 

  22. Hou Y, Wang M, Wang L (2004) System identification and Matlab simulating. Scientific Press, Beijing

    Google Scholar 

  23. Zhang C, Fan B, Gui D (2005) ANSYS8.0. Thermal Analytics Railroad Industry Press, Beijing ISBN:7-113-06537-6

    Google Scholar 

  24. Lo C-H, Yuan J, Ni J (1999) Optimal temperature variable selection by grouping approach for thermal error modeling and compensation. Int J Mach Tools Manuf 39:1383–1396. doi:10.1016/S0890-6955(99)00009-7

    Article  Google Scholar 

  25. Yang J, Yuan J, Ni J (1999) Thermal error mode analysis and robust modeling for error compensation on a CNC turning center. Int J Mach Tools Manuf 39:1367–1381. doi:10.1016/S0890-6955(99)00008-5

    Article  Google Scholar 

  26. Ramesh R, Mannan MA, Poo AN (2002) Support vector machines model for classification of thermal error in machine tools. Int J Adv Manuf Technol 20(2):114–120. doi:10.1007/s001700200132

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China

    Xia Junyong, Hu Youmin, Wu Bo & Shi Tielin

Authors
  1. Xia Junyong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hu Youmin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wu Bo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shi Tielin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hu Youmin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Junyong, X., Youmin, H., Bo, W. et al. Research on thermal dynamics characteristics and modeling approach of ball screw. Int J Adv Manuf Technol 43, 421–430 (2009). https://doi.org/10.1007/s00170-008-1723-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-008-1723-y

Keywords

Search

Navigation