Skip to main content
Log in

Investigate the spindle errors motions from thermal change for high-precision CNC machining capability

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

Abstract

As the demand for high speed and highly accurate machines has significantly increased, error motions from thermal change, which is up to 70 % of the total machining error, is found to be the main hurdles to overcome in improving the accuracy of CNC machine tools. In this research work, the authors installed four eddy current displacement sensors in the spindle structure near to the front bearing to monitor the spindle offset in the bearing level, which is mainly attributable to the thermal error motions of the spindle. In addition, another three capacitance sensors are mounted on the machine table level and aligned with the x-, y-, and z-axis of the machine to monitor the spindle shift in the table level to find out the correlation between temperature change and the thermal error motions of the spindle. To measure the temperature changes, we attached thermal sensors in the machine and cooling system. The estimation of the spindle thermal displacement based on temperature data from these thermal sensors can provide more information for the monitoring of thermal error motions of the spindle.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Postlethwaite SR, Ford DG, Morton D (1997) Dynamic calibration of CNC machine tools. Int J Mach Tools Manuf 37(3):287–294

    Article  Google Scholar 

  2. Heisel U, Gringel M (1996) Machine tool design requirements for high-speed machining. Ann CIRP 45:389–392

    Article  Google Scholar 

  3. Xu S, Wang Y, Zhao J, Le G (2008) A study of fault monitoring in CNC machining of free-form surfaces based on NN-wavelet analysis—technical communication. Mach Sci Technol V12(3):PP405–PP416

    Article  Google Scholar 

  4. Sarhan AAD, El-Zahry RM (2011) Monitoring of tool wear and surface roughness in end-milling for intelligent machining. Int J Phys Sci 6(10):2380–2392

    Google Scholar 

  5. Lin Z-C, Chang J-S (2007) The building of spindle thermal displacement model of high speed machine center. Int J Adv Manuf Technol 34(5-6):556–566

    Article  Google Scholar 

  6. Sarhan A, Sayed R, Nassr AA, EL-Zahry RM (2001) Interrelationships between cutting force variation and tool wear in end-milling. J Mater Process Technol 109(3):229–235

    Article  Google Scholar 

  7. Kim S-M, Lee S-K (2005) Spindle housing design parameter optimization considering thermo-elastic behavior. Int J Adv Manuf Technol 25(11-12):1061–1070

    Article  Google Scholar 

  8. Bryan J (1990) International status of thermal error research (1990). CIRP Ann - Manuf Technol 39(2):645–656

    Article  MathSciNet  Google Scholar 

  9. Cao H, Holkup T, Altintas Y (2011) A comparative study on the dynamics of high speed spindles with respect to different preload mechanisms. Int J Adv Manuf Technol 57(9-12):871–883

    Article  Google Scholar 

  10. Tseng P-C (1997) A real-time thermal inaccuracy compensation method on a machining centre. Int J Adv Manuf Technol 13(3):182–190

    Article  Google Scholar 

  11. Weck M, McKeown P, Bonse R, Herbst U (1995) Reduction and compensation of thermal errors in machine tools. CIRP Annals 44(2):589–598

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmed A. D. Sarhan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sarhan, A.A.D. Investigate the spindle errors motions from thermal change for high-precision CNC machining capability. Int J Adv Manuf Technol 70, 957–963 (2014). https://doi.org/10.1007/s00170-013-5339-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-013-5339-5

Keywords

Navigation