SiCp/Al复合材料三维表面粗糙度信息提取方法

为研究SiCp/Al复合材料三维表面粗糙度信息的提取方法,进行高速铣削实验,并利用OLS3000激光共聚焦扫描显微镜对表面微观轮廓进行非接触式测量.采用最小二乘法、高斯滤波法和扩展高斯滤波法针对已加工表面进行三维粗糙度信息的提取,并计算三维粗糙度参数,从受缺陷的影响程度以及稳定性两方面对3种方法的信息提取效果进行对比.结果表明:高斯滤波法和扩展的高斯滤波法对缺陷的敏感程度较高,且提取出的信息稳定性不好;最小二乘法能很好保留缺陷的信息并具有较高的稳定性,更适合对颗粒增强型铝基复合材料进行三维表面粗糙度信息的提取.

Method to extract information of surface roughness in three dimensions of particle reinforced aluminum matrix composites

To compare the effectiveness of three methods to extract the information of 3d surface roughness of particle reinforced aluminum matrix composites,specimens was high-speed milled,and the surface micro-topography was measured by OLS 3000 microscope.The least squares method,Gaussian filtering method and extensional Gaussian filtering method were adopted to extract the information of 3d surface roughness and 3d roughness parameters were computed.Gaussian filtering and extensional Gaussian filtering method are sensitive to the defect,also the information extracted is unstable.The least squares method is appropriate for this material because of the retention of the defect’s information and the high stability.