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Improved teaching-learning-based optimization for estimation of temperature-dependent radiative properties of semitransparent media
International Journal of Thermal Sciences ( IF 4.9 ) Pub Date : 2020-11-06 , DOI: 10.1016/j.ijthermalsci.2020.106694
Lin-Yang Wei , Hong Qi , Guo-Jun Li , Wei-Jun Zhang

Inverse estimation of temperature-dependent refractive index and absorption coefficient of semitransparent media is studied in this work. The forward transient coupled radiation-conduction heat transfer in semitransparent media is simulated by the finite volume method. The time-varying radiative response signals at the boundary (not the laser irradiation boundary) is adopted as measurement information in the inverse model. An improved teaching-learning-based optimization (ITLBO) algorithm is developed to retrieve the temperature-dependent refractive index and absorption coefficient simultaneously. Effects of model parameters (i.e. the laser heating time and measurement errors) and thermophysical parameters (i.e. the thermal conductivity and heat capacity) on the estimated results are analyzed thoroughly. All the retrieval results show that the inverse model and inverse algorithm is accurate and effective for predicting the temperature-dependent radiative properties of semitransparent media.

中文翻译:


改进的基于教学的优化,用于估计半透明介质的温度相关辐射特性



这项工作研究了半透明介质与温度相关的折射率和吸收系数的逆估计。采用有限体积法模拟了半透明介质中的正向瞬态耦合辐射传导传热。逆模型中采用边界(不是激光照射边界)处的时变辐射响应信号作为测量信息。开发了一种改进的基于教学的优化(ITLBO)算法,可以同时检索与温度相关的折射率和吸收系数。深入分析了模型参数(即激光加热时间和测量误差)和热物理参数(即热导率和热容)对估计结果的影响。所有反演结果表明,反演模型和反演算法对于预测半透明介质随温度变化的辐射特性是准确有效的。
更新日期:2020-11-06
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