Study on Dynamic Balance Weighting for Single-Disk Rotor System Based on Phase Difference Mapping

Qing Liang Zhao; Hua Qing Wang; Jin Ji Gao

doi:10.4028/www.scientific.net/AMR.430-432.1437

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 430-432Study on Dynamic Balance Weighting for Single-Disk...

Study on Dynamic Balance Weighting for Single-Disk Rotor System Based on Phase Difference Mapping

Abstract:

The rotor mass imbalance is main reason of rotating mechanical vibration. A new dynamic balance weighting method for single-disk rotor system based on phase difference mapping is presented. Firstly, the influence coefficient method and its characteristics are analyzed in detail. Secondly, the equivalent phase difference mapping relationship between incentive and vibration response for single-disk rotor system is proved by differential equations and Laplace transform theory. Finally, a specific application instance is showed. The new method is simple and easy to peel the phase coupling relationship between incentive and response, which can be used to guide dynamic balance weighting for single-disk rotor system on site.

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Periodical:

Advanced Materials Research (Volumes 430-432)

Pages:

1437-1441

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.430-432.1437

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Online since:

January 2012

Authors:

Qing Liang Zhao, Hua Qing Wang, Jin Ji Gao

Keywords:

Dynamic Balance, Influence Coefficient, Phase Difference Mapping, Single-Disk Rotor

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References

[1] Y.C. Han. An Optimization Method for Balancing Rotors. Proceedings of the CSEE, 5(2) (1985) 55-62.

Google Scholar

[2] Z.S. Liu, X.Z. Chen. Relative Coefficient Method for Rotor Dynamic Balancing and Its Performing with Dynamic Signal Analyzer. Journal of Mechanical Strength. 16(4) (1994) 53-57.

DOI: 10.4028/www.scientific.net/kem.259-260.751

Google Scholar

[3] Z. B JIA, L.J. YU. Calculation of Reducing Vibration Value on Rotors with Least Square Method. Journal of Northwest University(Natural Science Edition) 30(5) (2000) 455~457.

Google Scholar

[4] L.B. Deng, L. Cheng, Q.T. Li, N.D. Long. Ameliorating of Influence Coefficient Method for Rotor Dynamic Balance. Mechanical Science and Technology for Aerospace Engineering. 26(5) (2007) 631-634.

Google Scholar

[5] T. P. Goodman. A Least-square Method for Computing Balance Corrections . Journal of Engineering for Industry Trans. ASME, 86(B) (1964) 273-279.

Google Scholar

[6] S.L. An, L.M. Yang. Techniques for Rotor Balance in Situ [M]. National Defense Industrial Press, Beijing, 2007, p.33.

Google Scholar