Characteristic extraction of machined surface using wavelet transformation
Characteristic extraction of machined surface using wavelet transformation
复制标题
利用小波变换提取加工表面特征
DOI：
10.1007/s10015-018-0443-0
复制
发表时间：
2018
影响因子：
0.9
通讯作者：
Fusaomi Nagata
中科院分区：
文献类型：
--
作者：
Akimasa Otsuka;Koumei Muramatsu;Mizuha Sugi;Fusaomi Nagata
在机械产品的开发设计中，产品性能和公差叠加分析一般采用计算机软件进行计算。在这些计算中，产品形状被建模为一组基元，这些基元是简单的几何形状，如平面、圆柱体和球体。然而，由于加工误差无法避免，实际产品的形状与这些形状不同。实际形状通常表现出尺度上的偏差，如几何偏差、波浪形和表面粗糙度。因此，计算机计算的结果与产品的实际行为之间的误差是由于形状简化造成的。为了减小计算误差，需要一种伪形状的生成方法。在本研究中，提出了一种在多尺度水平上保持表面特征的皮肤模型形状随机生成的新方法。该方法首先确定最优母小波，因为母小波依赖于表面特征的提取。本文用八个代表性的母小波进行小波变换比较。通过实例分析，对结果进行了讨论，并指出了存在的问题。
In the development and design of machinery products, product performance and tolerance stack-up analysis are generally calculated using computer software. In these calculations, the product shape is modeled as a set of primitives, which are simple geometrical shapes, such as plane, cylinder and sphere. However, the shape of an actual product is different from these shapes because machining error cannot be avoided. Actual shapes usually exhibit deviations in scales, such as geometric deviations, waviness and surface roughness. Therefore, the error between the result of computer calculation and the actual behavior of the product is caused by the shape simplification. A method of for generation of a pseudo shape is required to reduce the calculation error. In this study, a new method for random generation of skin model shapes, which maintain the surface characteristics in multiscale levels, is proposed. In the method, first, an optimal mother wavelet should be decided because they depend on extracting the surface characteristics. In this paper, eight representative mother wavelets are used in wavelet transformation for comparison. The results are discussed based on the results obtained through a case study, and latent problems are also observed.