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作 者:金永伟 刘春龙[1] JIN Yongwei;LIU Chunlong(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院大学,北京100049
出 处:《红外技术》2025年第2期141-147,共7页Infrared Technology
摘 要:为了满足高灵敏度光学探测模块(简称探测模块)正常工作时的温度要求,解决其散热困难的问题,本文使用灵敏度分析方法,对影响探测模块热学特性的参数进行了相应分析。首先建立了探测模块在宇宙空间的热平衡方程,针对探测模块热学特性的设计参数,提取出了7个影响探测模块温度的相关参数。然后使用蒙特卡罗法对设计参数进行抽样,并通过有限元分析获取了200组样本。通过对样本的BP神经网络分析,获得探测模块温度分布与7个热设计参数之间的神经网络模型。最后基于建立的神经网络模型,对探测模块进行了BP-Sobol'全局灵敏度分析。分析结果表明,设计参数X_(1)、X_(2)的一阶Sobol'灵敏度值较大,对探测模块的影响最大,参数X_(1)、X_(5)和X_(6)的一阶灵敏度和总灵敏度相差较大,与其他参数交互效应对探测器温度输出产生了较大的影响,灵敏度分析为后续的热设计和热试验提供较强的指导作用。To meet the temperature requirements of a high-sensitivity optical detection module during normal operation and overcome the difficulty of heat dissipation,this paper proposes a sensitivity analysis method that analyzes the parameters that affect the thermal characteristics of the detection module.First,the thermal balance equation of the detection module in the universe is established.According to the design parameters that affect the thermal characteristics of the module,seven temperature-related parameters of the detection module are extracted.The design parameters were then sampled using the Monte Carlo method,and 200 sets of samples were obtained using finite element analysis.Through a back propagation(BP)neural network analysis of the samples,a neural network model between the temperature distribution of the detection module and seven thermal design parameters is obtained.Finally,based on the established neural network model,a BP-Sobol¢global sensitivity analysis is performed using the detection module.The analysis results show that the first-order Sobol'sensitivity values of the design parameters X_(1) and X_(2) are the largest and have the greatest impact on the detection module.The first-order sensitivity and total sensitivity of parameters X_(1),X_(5),and X_(6) vary significantly,and the interaction effect with other parameters has a substantial influence on the detector temperature output.This sensitivity analysis provides a strong guiding role for subsequent thermal design and experiments.
关 键 词:热设计 有限元仿真分析 BP神经网络分析 全局灵敏度分析
分 类 号:V19[航空宇航科学与技术—人机与环境工程]
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