Benchmark-Dataset FAN-01: Low pressure Axial Fan in a short Duct
Creators
- 1. FAU Erlangen
- 2. TU Wien
- 3. TU Graz
Description
The case consists of a generic axial fan for industrial applications. Provided measurement data include instationary pressure probes in the rotor's tip gap, distributions of velocity and turbulent kinetic energy gained by laser Doppler anemometry, as well as acoustic results gained by microphones and beamforming.
A detailed description of the dataset with references can be found in the PDF-File. The rotor geometry is available as IGS or Parasolid file. The measurement data is available, including the ones (LDA-data, pressure probes, acoustic microphones, üerformance) listed in the PDF description file.
Citation of the fan and the data:
Zenger, Florian, et al. A benchmark case for aerodynamics and aeroacoustics of a low pressure axial fan. No. 2016-01-1805. SAE Technical Paper, 2016.
Citation of the microphone array measurements:
Krömer, Florian J. Sound emission of low-pressure axial fans under distorted inflow conditions. FAU University Press, 2018.
Citation of the python scripts:
Junger, Clemens. Computational aeroacoustics for the characterization of noise sources in rotating systems. Diss. Technische Universität Wien, 2019.
Related work and existing publications:
Schoder, Stefan, Clemens Junger, and Manfred Kaltenbacher. "Computational aeroacoustics of the EAA benchmark case of an axial fan." Acta Acustica 4.5 (2020): 22. https://doi.org/10.1051/aacus/2020021
Schoder, Stefan, and Felix Czwielong. "Dataset fan-01: Revisiting the EAA benchmark for a low-pressure axial fan." arXiv preprint arXiv:2211.12014 (2022). https://doi.org/10.48550/arXiv.2211.12014
Kaltenbacher, Manfred, and Stefan Schoder. "EAA Benchmark for an axial fan." e-Forum Acusticum 2020. 2020. https://hal.science/hal-03221387/document
Tieghi, Lorenzo, et al. "Machine-learning clustering methods applied to detection of noise sources in low-speed axial fan." Journal of Engineering for Gas Turbines and Power 145.3 (2023): 031020. https://doi.org/10.1115/1.4055417
Antoniou, E., Romani, G., Jantzen, A., Czwielong, F., & Schoder, S. (2023). Numerical flow noise simulation of an axial fan with a Lattice-Boltzmann solver. Acta Acustica, 7, 65. https://doi.org/10.1051/aacus/2023060
Data curation and Questions about the Dataset
Data curated by Stefan Schoder, any questions related to the dataset to stefan.schoder@tugraz.at.
Notes
Files
LA_Case4_AxialFan_measurements.pdf
Files
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Additional details
References
- Schoder, Stefan, Clemens Junger, and Manfred Kaltenbacher. "Computational aeroacoustics of the EAA benchmark case of an axial fan." Acta Acustica 4.5 (2020): 22. https://doi.org/10.1051/aacus/2020021
- Schoder, Stefan, and Felix Czwielong. "Dataset fan-01: Revisiting the EAA benchmark for a low-pressure axial fan." arXiv preprint arXiv:2211.12014 (2022). https://doi.org/10.48550/arXiv.2211.12014
- Kaltenbacher, Manfred, and Stefan Schoder. "EAA Benchmark for an axial fan." e-Forum Acusticum 2020. 2020. https://hal.science/hal-03221387/document
- Tieghi, Lorenzo, et al. "Machine-learning clustering methods applied to detection of noise sources in low-speed axial fan." Journal of Engineering for Gas Turbines and Power 145.3 (2023): 031020. https://doi.org/10.1115/1.4055417