Skip to main content
Log in

Synchronization identification method for unbalance of dual-rotor system

  • Technical Paper
  • Published:
Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

The inner rotor of the dual-rotor system is usually encapsulated by the outer rotor. Therefore, it is very difficult to get the unbalance of rotors by directly adding a trial weight on the inner rotor to obtain the inner rotor’s reference signal. This paper proposes a new method to sense the inner and the outer rotor’s unbalance by adding the trial weight only on the outer rotor. There are four parts: part-I introduces the structure and vibration features of a horizontal decanter centrifuge. Part-II illustrates principles of the new method. Then in part-III we analyze factors affecting the dynamic balancing precision via numerical simulation. In the end, the new method is tested in experiments, which reveals an excellent performance on identifying the unbalance, thus possessing a promising future in the relevant industry.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Wakeman RJ (2007) Separation technologies for sludge dewatering. J Hazard Mater 144(3):614–619

    Article  Google Scholar 

  2. Bentham AC, Bonnerjea J, Orsborn CB, Ward PN, Hoare M (1990) The separation of affinity flocculated yeast cell debris using a pilot-plant scroll decanter centrifuge. Biotechnol Bioeng 36:397–401

    Article  Google Scholar 

  3. Bart Peeters, Stefan Weis (2004) Relationship between pool depth and internal washing on the beach of a solid bowl decanter centrifuge. Filtr Sep 41:36–40

    Google Scholar 

  4. Oppenheim AV, Willsky AS, Nawab SH (1997) Signal and systems, 2nd edn. Prentice Hall, Upper Saddle River

    Google Scholar 

  5. Quan C, Niu H, Tay CJ (2009) An improved windowed Fourier transform for fringe demodulation. Opt Laser Technol 42(1):126–131

    Article  Google Scholar 

  6. Niola V, Nasti G, Quaremaba G (2005) A problem of emphasizing features of a surface roughness by means the discrete wavelet transform. J Mater Process Technol 164–165:1410–1415

    Article  Google Scholar 

  7. Josso B, Burton DR, Lalor MJ (2001) Wavelet strategy for surface roughness analysis and characterization. Comput Methods Appl Mech Eng 191(8010):829–842

    Article  MATH  Google Scholar 

  8. Chen MJ, Pang QL, Wang JH, Cheng K (2008) Analysis of 3D microtopography in machined KDP crystal surface based on fractal and wavelet methods. Int J Mach Tools Manuf 48:905–913

    Article  Google Scholar 

  9. Park SY, Kang YJ, Kim SH (2009) Identification of beat characteristics and damping ratios of bell type structures using wavelet transform. J Sound Vib 326:367–382

    Article  Google Scholar 

  10. Chen DJ, Fan JW, Zhang FH (2013) Extraction the unbalance features of spindle system using wavelet transform and power spectral density. Measurement 46:1279–1290

    Article  Google Scholar 

  11. Zhou BT (1993) Method of dynamic balancing for decanter centrifuge. China Patent no. ZL91109315.X

  12. Zhang ZX (2001) Development and research of the intelligent whole-machine balancing instrument for dual-rotor system with little rotating speed difference, Ph.D. Thesis, Zhejiang University

  13. Yang J (2004) Dynamic balancing of a centrifuge: application to a dual-rotor system with very little speed difference. J Vib Control 10(7):1029–1040

    Google Scholar 

  14. Zeng S, Wang XX (1999) Unbalance identification and filed balancing of dual rotors systems with slightly different rotating speeds. J Sound Vib 220(2):343–351

    Article  Google Scholar 

  15. Zhang ZX, Zhang Q, Li XL, Qian TL (2011) The whole-beat correlation method for the identification of an unbalance response of a dual-rotor system with slight rotating speed difference. Mech Syst Signal Process 25:1667–1673

    Article  Google Scholar 

  16. Huang DS (1994) Analysis on phase error in FFT and a practical approach method. J Vib Eng 7(2):183–189

    MathSciNet  Google Scholar 

  17. Zhang ZX, Wang LZ, Jin ZJ, Zhang Q, Li XL (2013) Non-whole beat correlation method for the identification of an unbalance response of a dual-rotor system with a slight rotating speed difference. Mech Syst Signal Process 39(1):452–460

    Article  Google Scholar 

  18. Xin Z, Shang HH (2009) Improved design and analysis for the differential framework of horizontal scroll decanter centrifuge. J Mech Transm 33(1):47–49

    Google Scholar 

  19. Li XL, Zhang ZX, He SZ (2010) Numerical analysis on steady-state response of dual-rotor system with synchronous rotation. J Vib Shock 29(5):162–165

    Google Scholar 

Download references

Funding

This work was supported by a grant from the National Natural Science Foundation of China (Approved no. 50605054).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhixin Zhang.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Technical Editor: Kátia Lucchesi Cavalca Dedini.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Z., Wan, K., Li, J. et al. Synchronization identification method for unbalance of dual-rotor system. J Braz. Soc. Mech. Sci. Eng. 40, 241 (2018). https://doi.org/10.1007/s40430-018-1133-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40430-018-1133-5

Keywords

Navigation