Author： Martins Fabio J W A Foucaut Jean-Marc Thomas Lionel Azevedo Luis F A Stanislas Michel
Publisher： IOP Publishing
E-ISSN： 1361-6501|26|8|85202-85218
ISSN： 0957-0233
Source： Measurement Science and Technology, Vol.26, Iss.8, 2015-08, pp. : 85202-85218
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
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.
Related content
Access to resources
Recommend
Material acceleration estimation by four-pulse tomo-PIV
Measurement Science and Technology, Vol. 25, Iss. 8, 2014-08 ,pp. :
Access to resources