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首页> 外文期刊>Thermal science >SIMULTANEOUS RECONSTRUCTION OF TEMPERATURE FIELD AND RADIATIVE PROPERTIES BY INVERSE RADIATION ANALYSIS USING STOCHASTIC PARTICLE SWARM OPTIMIZATION
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SIMULTANEOUS RECONSTRUCTION OF TEMPERATURE FIELD AND RADIATIVE PROPERTIES BY INVERSE RADIATION ANALYSIS USING STOCHASTIC PARTICLE SWARM OPTIMIZATION

机译:随机粒子群优化算法的逆辐射分析同时重建温度场和辐射特性

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摘要

Simultaneous reconstruction of temperature field and radiative properties including scattering albedo and extinction coefficient is presented in a two-dimensional (2-D) rectangular, absorbing, emitting and isotropically scattering gray medium from the knowledge of the exit radiative intensities received by charge-coupled device (CCD) cameras at boundary surfaces. The inverse problem is formulated as a non-linear optimization problem and solved by stochastic particle swarm optimization. The effects of particle swarm size, generation number, measurement errors, and optical thickness on the accuracy of the estimation, and computing time were investigated and the results show that the temperature field and radiative properties can be reconstructed well for the exact and noisy data, but radiative properties are harder to obtain than temperature field. Moreover, the extinction coefficient is more difficult to reconstruct than scattering albedo.
机译:根据电荷耦合器件接收到的出射辐射强度的知识,在二维(2-D)矩形,吸收,发射和各向同性散射的灰色介质中,对温度场和辐射特性(包括散射反照率和消光系数)进行了同时重建。 (CCD)相机在边界表面。将反问题表述为非线性优化问题,并通过随机粒子群优化解决。研究了粒子群大小,世代数,测量误差和光学厚度对估计精度和计算时间的影响,结果表明,对于精确且嘈杂的数据,温度场和辐射特性可以很好地重构,但是辐射特性比温度场更难获得。此外,消光系数比散射反照率更难重建。

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