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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Thermal modeling of CIIIASat nanosatellite: A tool for thermal barrier coating selection
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Thermal modeling of CIIIASat nanosatellite: A tool for thermal barrier coating selection

机译:CIIIASAT纳米卫星的热建模:热障涂层选择的工具

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摘要

The effect of Thermal Barrier Coatings (TBC) and Orbital Elements (OE) and their impact in the internal temperature of a CubeSAT type nanosatellite (named CIIIASat) were evaluated in the present research. Thermal analysis was performed with the use of a couple of commercially available tools. An own developed code using Matlab and a Finite Difference Method (FDM) software were used in order to evaluate the thermal behavior of the system. The developed thermal analysis was used as a selection tool in order to determine the best thermal barrier coatings, evaluating its impact and contribution to the thermal behavior of the system. The developed code is capable of solving the energy balance for the critical conditions of the heat transfer problem, in both steady and transient states. The results obtained from the own developed numerical code were compared with the results obtained in a commercially available FDM software in order to pre-validate the results. The results of the pre-validation were positive, the own developed numerical code presented a good agreement with the FDM software, however, the developed code allowed a more conservative estimation. Subsequently the own developed numerical code was validated with experimental data obtained from literature. The results of the numerical code had a good agreement with experimental information, having a 5.4% of error when estimating the maximum temperature, and a 4.4% of error when estimating the minimum temperature of the system.
机译:在本研究中评估了热阻挡涂层(TBC)和轨道元素(OE)的影响及其在立方体型纳米卫星(命名CIIIASAT的内部温度中的影响。使用几种市售工具进行热分析。使用使用MATLAB和有限差分方法(FDM)软件的自己开发的代码,以评估系统的热行为。发育的热分析用作选择工具,以确定最佳的热阻挡涂层,评估其对系统的热行为的影响和贡献。在稳态和瞬态状态下,开发的代码能够解决传热问题的临界条件的能量平衡。将从自身开发的数字代码获得的结果与商业上可用的FDM软件中获得的结果进行了比较,以便预先验证结果。预验证的结果为正,自身开发的数字代码与FDM软件呈现了良好的一致性,然而,开发的代码允许更保守的估计。随后,使用从文献获得的实验数据验证了自己开发的数字代码。数值代码的结果与实验信息吻合良好,在估计最高温度时具有5.4%的误差,并且在估计系统的最小温度时的4.4%的误差。

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