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Turbomachinery High Speed Modal Balancing: Modeling and Testing of Scale Rotors

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Proceedings of the 9th IFToMM International Conference on Rotor Dynamics

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 21))

Abstract

The object of this work is the application of a modal balancing approach to turbomachinery rotors. The investigation was carried out on a small commercial rotor dynamic test bench suitably modified to represent in scale a typical turbomachinery balancing problem. Software based on literature theoretical formulations was developed for both the more widespread influence coefficient method and modal balancing. The modal balancing software was coupled with a finite element rotor dynamic code in order to determine the modal shapes necessary to impose the orthogonality conditions and calculate the modal calibration sets. Results of the two approaches were compared both in terms of balancing quality and in terms of time to balance the rotor. The test results highlighted essential information for an eventual true scale industrial application of the modal method and also interesting new aspects such as the possibility of balancing modes out of the operating speed range.

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References

  1. Bertoneri M (2010) High speed modal balancing: modeling and testing of turbomachinery rotors. http://etd.adm.unipi.it/t/etd-07222010-193858/

  2. API 684 (1996) Tutorial on the API standard paragraphs covering rotor dynamics and balance

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  3. Rieger NF (1986) Balancing of rigid and flexible rotors. The Shock and Vibration Information Center, Washington, DC

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Acknowledgments

The authors wish to thank Sergio Palomba, former GE Oil & Gas employee, whose contribution was crucial to obtain the results shown in this paper.

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Correspondence to Matteo Bertoneri .

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Bertoneri, M., Forte, P. (2015). Turbomachinery High Speed Modal Balancing: Modeling and Testing of Scale Rotors. In: Pennacchi, P. (eds) Proceedings of the 9th IFToMM International Conference on Rotor Dynamics. Mechanisms and Machine Science, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-06590-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-06590-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06589-2

  • Online ISBN: 978-3-319-06590-8

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