Quantitative detection method and device for paint surface roughness

A quantitative detection method and surface smoothness technology, which is applied in the field of material surface flatness detection, can solve problems such as the inability to achieve quantitative detection

Active Publication Date: 2017-10-24
NORTHEASTERN UNIV LIAONING
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to provide a method and device for quantitatively detecting the flatness of the paint surface, which can effectively solve the problems in the prior art, especially the prior art can only perform qualitative detection on the flatness of the paint surface, and cannot Achieving Quantitative Detection Issues

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Quantitative detection method and device for paint surface roughness
  • Quantitative detection method and device for paint surface roughness
  • Quantitative detection method and device for paint surface roughness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Embodiments of the present invention: a quantitative detection method for paint surface roughness, such as figure 1 shown, including the following steps:

[0029] S1, collect the low-coherent light interference spectrum of each position on the paint surface point by point at equal intervals, and obtain the low-coherence light interference spectrum matrix of each position on the paint surface;

[0030] S2, calculate the phase difference between the low-coherence light interference spectra of each adjacent position on the paint surface It specifically includes the following steps: performing Fourier transform on the low-coherent light interference spectrum at adjacent positions to obtain a corresponding complex exponential function; dividing the complex exponential function to obtain; wherein,

[0031] The interference spectrum of low-coherence light at position 1 is:

[0032] The interference spectrum of low-coherence light at position 2 is: In the formula, I 1 (...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and a device for quantitative determination of paint surface flatness. The method comprises the following steps: S1, collecting low-coherence light interference spectra of positions on a paint surface at equal intervals one point after another, and obtaining a low-coherence light interference spectrum matrix of the positions of the paint surface; S2, calculating the phase difference [Delta]phi between the low-coherence light interference spectra of any two adjacent positions on the paint surface; S3, calculating a depth distance difference [Delta]z of the two adjacent positions according to the phase difference [Delta]phi; and S4, calculating the integral of the depth distance difference [Delta]z and obtaining the flatness quantitative distribution of the paint surface. The invention provides a brand new technology for automobile paint surface flatness determination, achieves quantitative determination of paint surface flatness, thus helps people understand the flatness situation of the paint surface more directly and concretely and find the cause of ups and downs of the paint surface, and provides clearer guidance for modification and coating techniques.

Description

technical field [0001] The invention relates to a method and a device for quantitatively detecting the flatness of a paint surface, belonging to the technical field of detection of the flatness of a material surface. Background technique [0002] In the automotive industry, the color, gloss, and surface structure of body paint affect people's visual effects. Even a high-gloss coating film will have its appearance affected by surface fluctuations. This effect is called "Orange peel", orange peel can also be defined as "the wavy structure of a high-gloss surface". Orange peel on painted bodies can create visual appearances such as mottled surfaces. [0003] At present, for the detection of the flatness of the paint surface, the coating industry generally uses an orange peel meter to measure the orange peel condition of the material surface. However, this method can only qualitatively detect the flatness of the painted surface, detect whether there are undulations on the pain...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/30
Inventor 马振鹤马毓姝王毅
Owner NORTHEASTERN UNIV LIAONING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap