Experimentally validated x-ray image simulations of 50 μm x-ray PIV tracer particles
Experimentally validated x-ray image simulations of 50 μm x-ray PIV tracer particles
复制标题
经过实验验证的 50 μm X 射线 PIV 示踪粒子的 X 射线图像模拟
DOI:
10.1088/1361-6501/ac4c0d
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发表时间:
2022
影响因子:
2.4
通讯作者:
Mäkiharju, Simo A
中科院分区:
文献类型:
--
作者:
Parker, Jason T;Mäkiharju, Simo A
We evaluate Beer–Lambert (BL) ray-tracing and Monte Carlo N-Particle (MCNP) photon tracking simulations for prediction and comparison of x-ray imaging system performance. These simulation tools can aid the methodical design of laboratory-scale x-ray particle image velocimetry (XPIV) experiments and tracer particles by predicting image quality. Particle image signal-to-noise ratio (SNR) is used as the metric of system performance. Simulated and experiment data of hollow, silver-coated, glass sphere tracer particles (AGSF-33) are compared. As predicted by the simulations, the AGSF-33 particles are visible with a SNR greater than unity in 100 ms exposure time images, demonstrating their potential as x-ray PIV or particle tracking velocimetry (XPTV) tracers. The BL approach predicts the image contrast, is computationally inexpensive, and enables the exploration of a vast parameter space for system design. MCNP simulations, on the other hand, predict experiment images slightly more accurately, but are more than an order of magnitude more computationally expensive than BL simulations. For most practical XPIV system design applications, the higher computational expense of MCNP is likely not justified by the modest accuracy improvement compared to BL.
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影响因子:
3.7
作者:
Antoine E;Buchanan C;Fezzaa K;Lee WK;Rylander MN;Vlachos P
通讯作者:
Vlachos P
DOI:
--
发表时间:
2010
期刊:
Eurographics
影响因子:
--
作者:
F. Vidal;Manuel Garnier;N. Freud;J. Létang;N. John
通讯作者:
N. John
影响因子:
1.8
作者:
D. Badouel;K. Bouatouch;T. Priol
通讯作者:
T. Priol
影响因子:
2.7
作者:
C. Poelma
通讯作者:
C. Poelma
影响因子:
3.4
作者:
Lappan;Schwab;Eckert;Eckert;Heitkam
通讯作者:
Heitkam