Abstract
To investigate morphological characteristics and generation mechanism of the machined gears surface, image characteristics of machined surface morphology including profile roughness, fractal and textural characteristics were studied. the change of profile curves for the surface image is subject to the normal probability density function and the W-M function. The orientation angle of surface texture is 0°, the surface profile curves are the smoothest and have the most uniform, regular textures. When the texture orientation is 45° or 135°, the surface profile curves show large fluctuations, while surface image textures present the deepest grooves and are shown to be distributed most irregularly. Additionally, the influence mechanism of different grinding parameters on the morphological characteristics of machined surface was investigated. The quality of machined surfaces increased with the grinding speed while deteriorated with increasing radial, or axial, feed speeds.
Highlights
Surface morphological characteristics exert a significant influence on the properties of gear surface including microcontact, friction, wear and lubrication behaviours
Tian et al [7] established a set of new methods for evaluating unconventional rough surfaces of such ceramics was developed by using grey level co-occurrence matrix (GLCM) and a neural network
Yang et al [8] introduced a new feature extraction method for texture classification application using dual-tree complex wavelet
Summary
Surface morphological characteristics exert a significant influence on the properties of gear surface including microcontact, friction, wear and lubrication behaviours. Apart from traditional methods for evaluating roughness, the morphological characteristics of the surface for the workpiece can be described by means of grey-level image information, texture features and fractal dimensions.
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