Data analysis for hot-film anemometry in turbulent bubbly flow

Luther, Stefan; Rensen, Judith; van den Berg, Thomas H.; Lohse, Detlef

doi:10.1016/j.expthermflusci.2005.03.016

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Data analysis for hot-film anemometry in turbulent bubbly flow

Luther, S., Rensen, J., van den Berg, T. H., & Lohse, D. (2005). Data analysis for hot-film anemometry in turbulent bubbly flow. Experimental Thermal and Fluid Science, 29, 821-826. doi:10.1016/j.expthermflusci.2005.03.016.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-156F-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-1570-B

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Luther, Stefan¹, Author
Rensen, Judith, Author
van den Berg, Thomas H., Author
Lohse, Detlef, Author

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1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288

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Abstract: We report on a new method for the analysis of hot-film anemometry in turbulent bubbly flows based on stochastic pattern recognition summarizing our results of [J.M. Rensen, S. Luther, J. de Vries, D. Lohse, Hot-film anemometry in bubbly flow I: bubble–probe interaction, in press; S. Luther, J. Rensen, Hot-film anemometry in bubbly flow II: local phase discrimination, in press; J.M. Rensen, S. Luther, D. Lohse, Velocity structure functions in turbulent two-phase flows, J. Fluid Mech., in press]. It consists of an optimal signal decomposition using an adaptive wavelet transform and neural network based classification. We discuss the application of autoregressive models to obtain energy spectra for gapped time series.

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Dates: Date issued: 2005-08

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 281405
DOI: 10.1016/j.expthermflusci.2005.03.016

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Title: Experimental Thermal and Fluid Science

Alternative Title : Exp. Therm. Fluid Sci.

Source Genre: Journal

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Pages: - Volume / Issue: 29 Sequence Number: - Start / End Page: 821 - 826 Identifier: -