Surface roughness measurement method based on support vector regression machine

A support vector regression and surface roughness technology, which is applied in the field of surface roughness measurement, can solve problems such as the inability to obtain roughness values, and achieve the effects of complete functions, improved precision, and high-performance processing

Inactive Publication Date: 2018-02-23
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, this method can only identify the grade information of the roughness, and cannot obtain the specific roughness value

Method used

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  • Surface roughness measurement method based on support vector regression machine
  • Surface roughness measurement method based on support vector regression machine
  • Surface roughness measurement method based on support vector regression machine

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Embodiment Construction

[0023] The present invention will be further specifically described below in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, a method for measuring surface roughness based on a support vector regression machine disclosed in an embodiment of the present invention mainly includes the following steps:

[0025] (1) The collimated laser beam is slanted onto the surface of the workpiece, and the camera is used to capture the spatial distribution images of reflected and scattered light carrying surface roughness information to obtain the scattered images of standard samples with different roughness. In this step, the spatial light scattering distribution images corresponding to different roughness values ​​can be obtained through the built measurement system. The measurement system in this step includes a laser, a ground glass screen and a camera. A semiconductor collimated laser with a wavelength of 632.8nm is selected as a light source, and a collim...

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Abstract

The invention provides a surface roughness measurement method based on a support vector regression machine. The method comprises a step of obtaining light scattering distribution images of sample blocks of different roughness, a step of extracting characteristic parameters from the scattering images, wherein the characteristic parameters comprise scattering characteristic parameters, a lightspot ratio and a lightspot gray ratio, a step of dividing a sample set into a training sample set and a test sample set and selecting a regression algorithm and a kernel function, a step of selecting parameters corresponding to the training sample set, a step of establishing a support vector regression machine model, testing the precision of the model by using the test samples and obtaining an optimal model, and a step of obtaining scattering images and extracting the characteristic parameters in actual measurement and obtaining the surface roughness of a measured work piece by using the optimal model. The method is suitable for various measurement occasions and measurement objects, the concrete value of the workpiece surface roughness can be accurately obtained, the measurement precision is high, the measurement speed is fast, the Java and Matlab mixed programming is used, the transportability is achieved, and the development cost is reduced.

Description

Technical field: [0001] The invention relates to a method for measuring surface roughness based on a support vector regression machine, which is especially suitable for detecting the quality of metal surfaces in the grinding process. Background technique: [0002] Surface roughness is an important parameter to evaluate the surface quality of the workpiece, which affects the service performance and life of the workpiece. At present, the methods used in the industry to measure surface roughness can be roughly divided into two types: contact type and non-contact type. Contact measurement methods generally use the contact surface of the probe to measure, which is easy to cause surface damage such as scratches and wear of the probe; non-contact measurement methods can be divided into ultrasonic, acoustic emission and optical methods, etc. Surface damage has been widely used at present. Among them, the measurement method based on the principle of light scattering has the charact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/30
CPCG01B11/303
Inventor 郭瑞鹏边栋梁王海涛
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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