制冷型红外探测器组件低温热特性研究
[Abstract]:Refrigerated infrared detectors are widely used in high-end weapons because of their high sensitivity, high response speed and long range. Because of its application in military field, the key performance indexes such as volume, weight, cooling time, power consumption and detector reliability are strictly required. Through the application of the integrated detector Dewar refrigerator assembly, the volume, weight and power consumption of the assembly can be optimized from the mechanical structure. To optimize the cooling time and the reliability of the detector, it is necessary to study the low temperature thermal characteristics of the refrigerated infrared detector module. The low temperature thermal characteristics of the refrigerated infrared detector module mainly refer to the thermal load, cooling time and the reliability of the detector package due to the assembly working at low temperature. The main contents of the research include: the influence of various factors on the cooling time of the module, the optimization method of the thermal adaptation after the detector packaging and the optimization technology of the thermal characteristics of the key parts of the module, etc. In this paper, according to the research requirements of the low temperature thermal characteristics of the refrigerated infrared detector assembly, the research objectives are clarified. The research results are analyzed by theoretical analysis and reasonable verification experiments, as well as the research on the optimization of the thermal characteristics of the corresponding key parts. The influence of the low temperature thermal characteristics of the refrigerated infrared detector assembly was obtained, and the key parts for the optimization of the related thermal characteristics were prepared. In this paper, taking the typical IDDCA module of 320 脳 256-specification refrigerated infrared detector package as an example, the factors influencing the cooling time of the module are obtained by establishing the heat transfer model and theoretical analysis, and the experiment of cooling down time is carried out. The effects of various factors on the cooling time of the components are obtained. In this paper, the typical packaging structure of 320 脳 256-specification refrigerated infrared detector is taken as an example, and the influence of expansion coefficient on the stress and strain of the detector is analyzed by ANSYS simulation analysis under the certain mechanical structure of the cold platform. According to the principle of stress optimization, the cold platform material was determined to be Involva 4J36, and the strain effect experiments of different material lead substrates on the upper surface of silicon circuit were carried out before and after packaging. The experimental results show that the extra strain of the balanced layer structure and the AlN ceramic substrate is small after the fast packaging of the detector mode. In this paper, the optimization technology of the thermal characteristics of key parts is studied. Through the reasonable preparation process design, the radiative heat leakage optimized electroforming cold screen is prepared to blacken the inner surface of the outer surface and plated the gold on the outer surface of the inner surface. The heat load of the assembly is reduced by about 6.6 MW at 80K, and the low heat leakage and high strength integrated cold finger is prepared by using K508 refrigerator as the object. The integrated cold finger parts are prepared and coupled with the K508 refrigerator, and the 610mW refrigerating capacity is obtained at 80K. The preparation of metal composites with high thermal conductivity and low coefficient of expansion was studied. The 4J32 material was used as the matrix and 30% copper as the reinforcement phase. The metal composite substrates with 蠁 21.7mm 脳 0.6mm were prepared. The expansion coefficient was 2.23 脳 10 ~ (-6) K ~ (-1) and the thermal conductivity was 34.67 W / (m K). At room temperature.
【学位授予单位】:中国科学院大学(中国科学院上海技术物理研究所)
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN215
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