Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

FAN-01 Benchmark: Low pressure Axial Fan in a short Duct

Authors: Krömer, Florian; Junger, Clemens; Becker, Stefan; Kaltenbacher, Manfred; Czwielong, Felix; Schoder, Stefan;

FAN-01 Benchmark: Low pressure Axial Fan in a short Duct

Abstract

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.

Jointly organized by the EAA TC Computational Acoustics, DEGA Fachausschuss Strömungsakustik, AAA TC Computational Acoustics and ERCOFTAC SIG39 Aeroacoustics represented by the member Stefan Schoder.

Related Organizations
Keywords

Axial Fan, Beamforming, Measurements, Aeroacoustics, Experiments, Benchmark, Linear Acoustics

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average