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In-situ measurement of reflection coefficient and its application to predicting combustion instability in a gas turbine combustor

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Abstract

Here, a procedure that uses in-situ data recorded by two microphones placed inside an operating gas turbine combustor to determine the reflection coefficient is proposed. The procedure is validated against previously reported results and further employed to determine the coefficients of feeding lines supplying a partially premixed gas turbine combustor. With the help of lumped network code, a prediction analysis of combustion instability in a combustor is also conducted using the measured reflection coefficients, R(ω), which are a function of frequency. The prediction results are compared with those from other acoustic boundaries, including both analytical models and a measured single-valued approach. The predictions, based on R(ω), are shown to be more accurate than those from any other boundary methods considered. A comparison of the predicted combustion instability frequencies from this study with corresponding experimental results shows that the developed procedure for determining the coefficient is reliable and has great potential.

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Acknowledgments

This work was supported by the International Collaborative Research Program of Hanbat National University, which was granted financial resources from the Ministry of Education, Republic of Korea, in 2020. The authors are grateful to Prof. Jonggeun Lee at the University of Cincinnati and Prof. Youngbin Yoon at Seoul National University for providing their invaluable experimental data.

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Authors and Affiliations

  1. Department of Mechanical Systems Engineering for Energy Convergence, Dongshin University, Naju, 58245, Korea

    Won Joon Song

  2. Department of Building and Plant Engineering, Hanbat National University, Daejeon, 34158, Korea

    Gyu Seong Youn & Dong Jin Cha

Authors
  1. Won Joon Song
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  2. Gyu Seong Youn
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  3. Dong Jin Cha
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Correspondence to Dong Jin Cha.

Additional information

Won Joon Song is an Assistant Professor in the Department of Mechanical Systems Engineering for Energy Convergence at Dongshin University in Naju, Korea. He received his Ph.D. in Mechanical Engineering from the University of Cincinnati, OH, USA. His research interests include auditory system modeling, signal processing for artificial cochlea, hearing loss assessment, online monitoring of combustion stability, and image processing of combustion flames.

Gyu Seong Youn is a Graduate Student in the Department of Building Services Engineering at Hanbat National University in Daejeon, Korea. His research interests include combustion instability in gas turbines for power generation and building energy management.

Dong Jin Cha is a Professor in the Department of Building and Plant Engineering at Hanbat National University in Daejeon, Korea. He received his Ph.D. in Mechanical Engineering from the University of Illinois at Chicago, IL, USA. His research interests include combustion instability in gas turbines for power generation, fluid flows in building and plant engineering.

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Song, W.J., Youn, G.S. & Cha, D.J. In-situ measurement of reflection coefficient and its application to predicting combustion instability in a gas turbine combustor. J Mech Sci Technol 35, 4261–4270 (2021). https://doi.org/10.1007/s12206-021-0836-1

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  • DOI: https://doi.org/10.1007/s12206-021-0836-1

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