Photonic Sensors

, Volume 8, Issue 2, pp 97–102 | Cite as

Sensor-Based Inspection of the Formation Accuracy in Ultra-Precision Grinding (UPG) of Aspheric Surface Considering the Chatter Vibration

Open Access
Regular
  • 66 Downloads

Abstract

This paper proposes an experimental approach for monitoring and inspection of the formation accuracy in ultra-precision grinding (UPG) with respect to the chatter vibration. Two factors related to the grinding progress, the grinding speed of grinding wheel and spindle, and the oil pressure of the hydrostatic bearing are taken into account to determining the accuracy. In the meantime, a mathematical model of the radius deviation caused by the micro vibration is also established and applied in the experiments. The results show that the accuracy is sensitive to the vibration and the forming accuracy is much improved with proper processing parameters. It is found that the accuracy of aspheric surface can be less than 4 μm when the grinding speed is 1400 r/min and the wheel speed is 100 r/min with the oil pressure being 1.1 MPa.

Keywords

Optical aspheric surface micro-vibrations ultra-precision grinding formation accuracy grinding speed 

Notes

Acknowledgment

This project is supported by the National Natural Science Foundation of China (Grant No. 51505087) and the Education Department Foundation of Fujian Province in China (Grant No. JA15054). Also, we thank the Collaborative Innovation Center of High-End Equipment Manufacturing in Fujian Province of China for applying the experimental field.

References

  1. [1]
    Y. Li, S. M. Gracewski, and P. D. Funkenbusch, “Analysis of chatter in contour grinding of optical materials,᾿International Journal of Machine Tools & Manufacture, 2002, 42: 1095᾿103.CrossRefGoogle Scholar
  2. [2]
    S. Takasu, M. Masuda, T. Nishiguchi, and A. Kobayashi, “Influence of study vibration with small amplitude upon surface roughness in diamond machining,᾿CIRP Annals-Manufacturing Technology, 2000, 1(34): 463᾿67.Google Scholar
  3. [3]
    A. H. R. Streatfield, “Development of vibration monitoring techniques to aid in evaluating the mechanical performance of rotating machinery,᾿Proceedings of the Institution of Mechanical Engineers, 2001, 318(184): 209᾿17.Google Scholar
  4. [4]
    J. Y. Wang, L. Jiang, Z. G. Sun, B. X. Hu, and F. X. Zhang, “Research on the surface subsidence monitoring technology based on fiber Bragg grating sensing,᾿Photonic Sensors, 2017, 7(1): 20᾿6.ADSCrossRefGoogle Scholar
  5. [5]
    O. B. Abouelatta and J. Madl, “Surface roughness prediction based on cutting parameters and tool vibrations in turning operations,᾿Journal of Materials Processing Technology, 2001, 3(118): 269᾿77.CrossRefGoogle Scholar
  6. [6]
    M. S. Rahman, T. Saleh, H. S. Lim, S. M. Son, and M. Rahman, “Development of an on-machine profile measurement system in ELID grinding for ma-chining aspheric surface with software compensation,᾿International Journal of Machine Tools & Manufacture, 2008, 48: 887᾿95.CrossRefGoogle Scholar
  7. [7]
    M. Hayashi, H. Yoshioka, and H. Shinno, “An adaptive control of ultraprecision machining with an in-process micro-sensor,᾿Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2008, 3(2): 322᾿31.ADSCrossRefGoogle Scholar
  8. [8]
    Z. Y. Zhang, C. T. Liu, H. C. Li, Z. X. He, and X. F. Zhao, “Optical fiber grating vibration sensor for vibration monitoring of hydraulic pump,᾿Photonic Sensors, 2017, 7(2): 140᾿47.ADSCrossRefGoogle Scholar
  9. [9]
    X. C. Zhang, G. H. Cao, F. M. Nie, and Q. T. Wu, “Study on influence of micro-vibration during the optical aspheric surface ultra-precision grinding on forming accuracy,᾿Acta Armamentar II, 2012, 33(9): 1066᾿069.Google Scholar
  10. [10]
    H. J. Wu, Y. Qian, W. Zhang, H. Y. Li, and X. Xie, “Intelligent detection and identification in fiber-optical perimeter intrusion monitoring system based on the FBG sensor network,᾿Photonic Sensors, 2015, 5(4): 365᾿75.ADSCrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.School of Mechanical Engineering and AutomationFuzhou UniversityFuzhouChina
  2. 2.Changchun Institute of Optics, Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina

Personalised recommendations