航空学报2025,Vol.46Issue(16):45-58,14.DOI:10.7527/S1000-6893.2025.31662
融合发射率预识别和白鲨优化算法的高温表面温度场多光谱测量方法
Multi-spectral measurement method for high-temperature surface temperature field through emissivity pre-recognition and White Shark optimization algorithm
摘要
Abstract
Multispectral thermometer is widely used for temperature measurement of high temperature components in gas turbines such as turbine blades and combustion chambers.However,without the prior emissivity information of the measured target,the multi-spectral thermometer often results in large measurement error,which limits its practical application.In this paper,a multi-spectrum radiation-based temperature inversion method integrating emissivity pre-recognition is proposed.This method transforms the underdetermined radiation equations into a constrained optimiza-tion problem of the objective function.Based on the grey body hypothesis and generalized inverse matrix method,the range of emissivity is firstly obtained and added to the objective function as a constraint.The White Shark optimization algorithm is further used to achieve the high-precision temperature solution of the constrained objective function.The key parameters and reconstruction performance of the proposed algorithm are discussed on the six simulated emissiv-ity models at different temperatures.The simulation results showed that the maximum error of the temperature inver-sion is 1.95%at 800-1 000 K.Finally,the temperature measurement experiments are carried out on a high tempera-ture surface in the lab.The maximum deviation of the measured temperature between the proposed method and the thermocouple is 2.01%,verifying that the proposed multi-spectral measurement method has high accuracy and stability.关键词
多光谱测温/发射率/预识别/温度/白鲨优化算法Key words
multi-spectral temperature measurement/emissivity/pre-recognition/temperature/White Shark optimization algorithm分类
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张正军,黄益智,刘艳,张彪,徐祥,许传龙..融合发射率预识别和白鲨优化算法的高温表面温度场多光谱测量方法[J].航空学报,2025,46(16):45-58,14.基金项目
国家自然科学基金(52376158) (52376158)
连云港市科技计划创新能力建设项目(CX2207) National Natural Science Foundation of China(52376158) (CX2207)
Innovation Capacity Building of Lianyungang City Science and Technology Plan Project(CX2207) (CX2207)