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Inverse heat conduction problem approach to identify the thermal characteristics of super-hard synthetic materials

机译:逆热传导问题识别超硬合成材料热特性的方法

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Super-hard synthetic materials are currently used as cutting tools in place of expensive natural diamonds. The use of these materials requires a precise knowledge of their thermophysical properties. The thermal investigation of the super-hard material (polycrystalline) is carried out during the grinding process. An Adaptive Iterative Filter (AIF) method has been proposed for the determination of the thermophysical characteristics of solid materials by means of Inverse Heat Transfer Problems solution. The inverse problems, however, are ill-posed problems in the sense of existence, uniqueness, and stability, and do not generally have a universal solution. Therefore, before actually solving a real inverse problem, the inverse analysis simulation should be done. This analysis, which includes the solution of the methodical inverse problem, is usually necessary to obtain stable and precise results. The numerical algorithm of the AIF has been used for the simultaneous identification of the thermophysical characteristics of super-hard synthetic polycrystalline materials that were identified as a function of temperature.
机译:目前,超硬合成材料已代替昂贵的天然钻石用作切削工具。这些材料的使用需要对其热物理性质有确切的了解。在研磨过程中对超硬材料(多晶)进行热研究。提出了一种自适应迭代过滤器(AIF)方法,用于通过逆传热问题解决方案确定固体材料的热物理特性。然而,反问题在存在性,唯一性和稳定性的意义上是不适定的问题,通常没有通用的解决方案。因此,在实际解决实际的逆问题之前,应先进行逆分析仿真。为了获得稳定和精确的结果,通常需要进行这种分析,其中包括方法性反问题的解决方案。 AIF的数值算法已用于同时识别被识别为温度函数的超硬合成多晶材料的热物理特性。

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