Abstract
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.