一种表面微观形貌的主动重构方法

Active Reconstruction Method of Surface Micro-topography

基于随机过程理论对机械零件表面微观形貌重构,所得形貌在全局上满足高度与自相关两统计分布,但不能对局部形貌进行预测与控制,给界面性能有效预测带来了困难。针对此难题,提出基于高度与自相关分布等效原理,以兴趣点作为目标点、兴趣点相邻点作为普通点,以目标表面斜率、曲率等为约束条件,通过交换目标点高度、对普通点进行高度重排,实现对随机形貌样本的主动重构。研究了两种具体实施算法及其效果,展示了所提方法在接触分析中的潜在应用。

Although the height distribution and auto-correlation distribution can be satisfied,local topography cannot be predicted and controlled in the simulation of surface topography,in terms of the random process theory.This brings difficulties to the effective prediction of interface performance.To address the problem,an active reconstruction method of randomly reconstructed topography is introduced on the basis of the equivalence of height distribution and auto-correlation distribution.To do this,the interested sampling points are set as target points for height exchange,and the points adjacent to the interested sampling points,are chosen as common points for height rearrangement.Besides,the surface statistical characteristics,such as the slope and curvature distribution,are taken as the simulation constraints.Two implementation algorithms and their effectiveness are studied,and the application to contact analysis of the present method are discussed briefly.