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• W2210318143 endingPage "085202" @default.
• W2210318143 startingPage "085202" @default.
• W2210318143 abstract "Tomographic PIV is a three-component volumetric velocity measurement technique based on the tomographic reconstruction of a particle distribution imaged by multiple camera views. In essence, the performance and accuracy of this technique is highly dependent on the parametric adjustment and the reconstruction algorithm used. Although synthetic data have been widely employed to optimize experiments, the resulting reconstructed volumes might not have optimal quality. The purpose of the present study is to offer quality indicators that can be applied to data samples in order to improve the quality of velocity results obtained by the tomo-PIV technique. The methodology proposed can potentially lead to significantly reduction in the time required to optimize a tomo-PIV reconstruction, also leading to better quality velocity results. Tomo-PIV data provided by a six-camera turbulent boundary-layer experiment were used to optimize the reconstruction algorithms according to this methodology. Velocity statistics measurements obtained by optimized BIMART, SMART and MART algorithms were compared with hot-wire anemometer data and velocity measurement uncertainties were computed. Results indicated that BIMART and SMART algorithms produced reconstructed volumes with equivalent quality as the standard MART with the benefit of reduced computational time." @default.
• W2210318143 created "2016-06-24" @default.
• W2210318143 creator A5010890715 @default.
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• W2210318143 date "2015-07-01" @default.
• W2210318143 modified "2023-09-25" @default.
• W2210318143 title "Volume reconstruction optimization for tomo-PIV algorithms applied to experimental data" @default.
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• W2210318143 doi "https://doi.org/10.1088/0957-0233/26/8/085202" @default.
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