单灯泡太阳模拟器光强分布的反光线追踪识别

M. Abuseada, Nesrin Ozalp
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引用次数: 1

摘要

通过高通量太阳模拟器的通量表征,丢失了通量分布的所有方向信息。因此,有必要采用实验方法来恢复方向信息。本研究在一个10 kWe氙弧太阳模拟器上,采用间接通量成图技术,实现了一个朗伯目标的使用,实验得到了13张热流密度图。给出了用实验方法确定焦平面上光强分布的反问题的公式。此外,开发了模拟氙弧的蒙特卡罗射线跟踪内部代码,并用于生成实验获得的焦平面上的通量图和强度图,作为参考。研究了两种强度插值方案;一个零阶和一阶格式。结果表明,一阶插值不需要使反问题复杂化。当将插值方案从一阶改为零阶时,误差百分比从90.9%降低到82.6%,并且计算时间减少了5倍。在此基础上,提出了一种用等号约束约束方程组的新方法,该方法通过消除一些不能追溯到椭球面反射器的强度值来实现。因此,它可以作为一种将病态问题转化为条件良好问题的技术,而不依赖于Tikhonov正则化方法。该方法可提供焦平面上的强度值,将零阶插值方案的百分比误差从52.2%降低到30.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intensity Distribution From a Single-Bulb Solar Simulator Identification Through Inverse Ray Tracing
Through the flux characterization of a high flux solar simulator, all directional information of the flux distribution is lost. Therefore, an experimental approach is necessary to restore the directional information. In this study, 13 heat flux maps were experimentally obtained from a 10 kWe Xenon arc solar simulator through an indirect flux mapping technique, implementing the use of one Lambertian target. The formulation of the inverse problem of experimentally determining the intensity distribution at the focal plane is presented. In addition, a Monte Carlo ray tracing in-house code modeling the Xenon arc is developed and used to generate the experimentally obtained flux maps and intensity at the focal plane to be used as a reference. Two intensity interpolation schemes were examined; a zeroth and first-order schemes. It is shown that a first order interpolation unnecessary complicates the inverse problem. The percentage error reduced from 90.9% to 82.6% when changing the interpolation scheme from a first to zeroth-order, in addition to a five times reduction in computational time. Furthermore, a new approach of constraining the formulated system of equations with an equality constraint that works by eliminating some of the intensity values that cannot be traced back to the ellipsoidal reflector is proposed. Therefore, it can be used as a technique to change the ill-conditioned problem to a well-conditioned one, without depending heavily on Tikhonov regularization methods. This new approach provided intensity values at the focal plane with a reduced percentage error from 52.2% to 30.4% for the zeroth-order interpolation scheme.
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