Oreshkin Oleg, Platonov Alexander, Panov Daniil, Petrovskiy Victor
Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Kashirskoe Shosse 31, 115409 Moscow, Russia.
Center for Design, Manufacturing & Materials, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia.
Micromachines (Basel). 2022 Apr 14;13(4):618. doi: 10.3390/mi13040618.
The study is focused on investigating approaches for assessing the texture shape deviation obtained by laser structuring by remelting (Waveshape). A number of metrics such as Fourier spectrum harmonic ratio, cross-correlation coefficient (reverse value), and spectral entropy are investigated in terms of surface-texture shape deviation estimation. The metrics are compared with each other by testing two hypotheses: determination of target-like shape of texture (closest to harmonic shape) and determination of texture presence on the cross-section. Spectral entropy has the best statistical indicators for both hypotheses (Matthews correlation coefficient is equal to 0.70 and 0.77, respectively). The reverse cross-correlation coefficient proved to be close in terms of statistical indicators (Matthews correlation coefficient is equal to 0.58 and 0.75 for the first and second hypothesis), but is able to estimate the shape similarity of regular texture independent on its type. The provided metrics of shape assessment are not limited to the texturing process, so the presented results can be used in a broad range of scientific fields.
该研究聚焦于探究评估通过重熔激光结构化（波形）获得的纹理形状偏差的方法。就表面纹理形状偏差估计而言，研究了若干指标，如傅里叶频谱谐波比、互相关系数（反向值）和谱熵。通过检验两个假设对这些指标进行相互比较：确定纹理的目标样形状（最接近谐波形状）以及确定横截面上纹理的存在情况。对于这两个假设，谱熵都具有最佳的统计指标（马修斯相关系数分别等于0.70和0.77）。事实证明，反向互相关系数在统计指标方面与之相近（第一个和第二个假设的马修斯相关系数分别等于0.58和0.75），但能够独立于规则纹理的类型来估计其形状相似度。所提供的形状评估指标并不局限于纹理化过程，因此所呈现的结果可用于广泛的科学领域。
