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Real-time heat conduction in a self-heated composite slab by Pade filters

机译:Pade过滤器在自热复合板中实时导热

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A study of the heat conduction through a miniature composite slab showing large differences in scale is presented. The system consists of a highly conductive thin sensing film, subjected to self-heating and encapsulated by insulating layers. The formalism of the Laplace transfer functions is used to relate the operating temperature of the coated sensing film to the unknown outermost temperatures and to self-heating. The use of Pade approximants provides approximations of these transfer functions by rational functions that are much more accurate than most of the concurrent approaches. Then the real-time evolution of the operating temperature of the sensing film is established without resorting to the Laplace inversion, but using recursive digital filters constructed from the Pade approximants. Finally, the inverse analysis that is proposed allows to regain the evolution of the outermost temperatures from the knowledge of the operating temperature, even in the presence of a significant self-heating and a nonlinear regime. The present systemic approach could be applied to optimize and accurately describe the realtime operation of many miniature resistive sensors used for example in biomedical instrumentation.
机译:提出了通过微型复合板进行热传导的研究,该热传导显示出尺度上的巨大差异。该系统由高导电性的传感薄膜组成,该薄膜经过自我加热并被绝缘层封装。拉普拉斯传递函数的形式可用于将涂层传感膜的工作温度与未知的最外层温度和自热联系起来。 Pade近似值的使用通过有理函数提供了这些传递函数的近似值,而这些有理函数比大多数并发方法要精确得多。然后,无需借助拉普拉斯反演,而是使用由Pade近似值构造的递归数字滤波器,即可建立传感膜工作温度的实时变化。最后,所提出的逆分析甚至可以在存在明显的自热和非线性状态的情况下,根据工作温度的知识重新获得最外层温度的变化。本系统方法可用于优化和准确描述例如在生物医学仪器中使用的许多微型电阻式传感器的实时操作。

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