资源简介:
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. Data curation and Questions about the Dataset Data curated by Stefan Schoder, any questions related to the dataset to stefan.schoder@tugraz.at. 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