表面特征上的学习穿产生在的粒子穿过程提供卓见进人工的关节的材料失败的进步。确定是很重要的表面特征在三种尺寸穿粒子。在这研究,用原子力量显微镜学的一条新途径被建议执行 3D 数字表面描述穿从人工的关节产生的碎片。与处理技术的图象相结合的原子力量显微镜学被用来获得适当 3D 图象穿碎片。计算机化的图象分析技术然后被用来确定表面质地特征穿象表面粗糙参数和表面质地索引那样的碎片。从现在的学习开发的方法被发现对数量可行表面描述缩放 nano 、微尺寸穿从人工的关节产生的碎片。
Study on surface features of wear particles generated in wear process provides an insight into the progress of material failure of artificial joints. It is very important to quantify the surface features of wear particles in three dimensions. In this study, a new approach using atomic force microscopy was proposed to carry out 3D numerical surface characterization of wear debris generated from artificial joints. Atomic force microscopy combined with image processing techniques was used to acquire appropriate 3D images of wear debris. Computerized image analysis techniques were then used to quantify surface texture features of wear debris such as surface roughness parameters and surface texture index. The method developed from the present study was found to be feasible to quantity the surface characterization of nanoand micro-sized wear debris generated from artificial joints.