Analysis of Anisotropy in Turned Surfaces Using Vision Based 3D Surface Topography

Abstract

Abstract Anisotropy in machined surfaces has a significant effect on the functional performance of an engineering surface. Complexity in surface topography directly affects a component’s functional performance, such as load bearing, friction, wear, surface roughness, and fluid retention properties. The anisotropic and isotropic nature of surfaces could be disregarded for 2D surface characterization, but they are of fundamental importance to 3D surfaces for characterization, which is a result of cutting motion; thus, the machined surfaces consist of fluctuations, peaks, and valleys. The surface topography of the workpiece can be viewed more precisely by viewing it under micro scale magnification. In the present work, an attempt has been made to investigate the effect of the tool condition in machining processes on different workpiece surfaces and to investigate the resulting 3D surface topography on friction and wear properties of machined components. The 3D surface topography parameters, such as Sa, Sq, Ssk, Sku, and Sdr, are extracted by using commercial software (TalySurf10). Subsequently these parameters are used to compare and analyze the specific-functional performances of the tool. The encouraging results of this work pave the way for the analysis of the machined surface and the development of real-time and reliable tool-condition monitoring systems.