In-situ three-dimensional reconstruction method of microscopic topography of in-use gear wear surface

Abstract

The invention relates to an in-service gear worn surface microcosmic shape in-situ three-dimensional reconstruction method. An embedded digital microscopic image acquisition system containing 8 pointlight sources is adopted to obtain 8 microscopic images under different illumination angles; after environment setting and system calibration are performed, near-field point light source illuminationmodels are established; the spatial positions and attenuation models of the light sources are calibrated; a method for solving a surface normal vector on the basis of multi-image constrained estimation and a method for restoring a surface shape on the basis of the surface normal vector are combined, so that a preliminary reconstructed surface can be obtained through calculation; preliminary reconstructed information is processed through a polynomial fitting algorithm, a color reduction algorithm and a projection transformation algorithm, so that the surface microcosmic shape of a gear can be obtained; and height information is statistically calculated, so that the shape features of the worn surface of the gear can be obtained. The method of the invention is convenient to carry and convenient to operate, can obtain the three-dimensional shape and surface features of the worn surface of the gear, and is of great significance for the accurate analysis of the procedural wear evolution of the friction pairs of gears and the condition-based maintenance and fault prediction of mechanical equipment.

Description

technical field [0001] The invention belongs to the technical field of on-site detection of wear conditions of in-use gears, and in particular relates to an in-situ three-dimensional reconstruction method for the wear surface microscopic topography of in-use gears. Background technique [0002] Gears are commonly used transmission parts in mechanical equipment, and are widely used in construction machinery, power generation equipment, transportation and other fields. During the operation of mechanical equipment, the surface of the gear friction pair interacts, which inevitably produces wear and tear, which becomes the main cause of gear transmission failure. According to different wear mechanisms, gear wear can be divided into adhesive wear, abrasive wear and fatigue wear, etc. The wear surfaces corresponding to different wear types also have different characteristics. Therefore, the worn surface topography directly reflects the wear characteristics of the gear, and is also...

AI Technical Summary

Problems solved by technology

However, the traditional detection of gear tooth surface wear status is generally used for fault analysis and traceability. The gear wear surface morphology is obtained by dismantling the gearbox and observing with the naked eye or slices. It is rare to detect the wear surface morphology of gears in use.

There are two problems in the existing gear surface detection technology: 1) the detection results after disassembly can be used for fault analysis, but cannot reflect the fault development process; 2) the traditional naked eye observation and two-dimensional surface detection cannot give a quantitative volume wear information feature

Through the microscope, the inspector can only obtain the planar features of the worn surface, but cannot obtain the spatial feature information

Moreover, due to the subjectivity of manual detection, this method not only has low detection efficiency and inaccurate detection results, but also easily causes visual fatigue.

Commonly used gear measuring instruments, such as three-dimensional coordinate measuring machines, can obtain three-dimensional surface information, but the instrument needs to disassemble the gear and place it in the experimental environment for measurement, which cannot realize on-site detection of the gear. It is complex and has high requirements for the comprehensive quality of the testers themselves, so the application is restricted

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