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A NEW METHOD FOR ESTIMATING THE HURST EXPONENT H FOR 3D OBJECTS

机译:一种估算3D对象最陡指数H的新方法

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Mathematics and computer science are very useful in many other sciences. We use a mathematical method, fractal geometry, in engineering, specifically in laser techniques. Characterization of the surface and the interfacial morphology of robot-laser-hardened material is crucial to understand its properties. The surface microstructure of robot-laser-hardened material is rough. We aimed to estimate its surface roughness using the Hurst parameter H, which is directly related to the fractal dimension. We researched how the parameters of the robot-laser cell impact on the surface roughness of the hardened specimen. The Hurst exponent is understood as the correlation between the random steps X_1 and X_2, which are followed by time for the time difference At. In our research we understood the Hurst exponent H to be the correlation between the random steps X_1 and X_2, which are followed by the space for the space difference Ad. We also have a space component. We made test patterns of a standard label on the point robot-laser-hardened materials of DIN standard GGG 60, GGG 60 L, GGG 70, GGG 70 L and 1.7225. We wanted to know how the temperature of point robot-laser hardening impacts on the surface roughness. We developed a new method to estimate the Hurst exponent H of a 3D-object. This method we use to calculate the fractal dimension of a 3D-object with the equation D = 3 - H.
机译:数学和计算机科学在许多其他科学中非常有用。在工程中,特别是在激光技术中,我们使用数学方法,即分形几何。机械手激光硬化材料的表面特征和界面形态对于了解其性能至关重要。机械手激光硬化材料的表面微观结构很粗糙。我们旨在使用与分形维数直接相关的赫斯特参数H估算其表面粗糙度。我们研究了自动激光单元的参数如何影响硬化试样的表面粗糙度。赫斯特指数被理解为随机步长X_1和X_2之间的相关性,之后是时间差At的时间。在我们的研究中,我们将赫斯特指数H理解为随机步长X_1和X_2之间的相关性,然后是空间差Ad的间隔。我们还有一个空间部分。我们在DIN标准GGG 60,GGG 60 L,GGG 70,GGG 70 L和1.7225的点式机器人激光硬化材料上制作了标准标签的测试图案。我们想知道点机器人激光淬火的温度如何影响表面粗糙度。我们开发了一种估算3D对象的赫斯特指数H的新方法。我们使用此方法来计算等式D = 3-H的3D对象的分形维数。

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