Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Infrared thermal image analysis method for nondestructive testing of defects of composite material

A technology of non-destructive testing and analysis methods, applied in the direction of material defect testing, radiation pyrometry, measuring devices, etc., which can solve the problems of limited defect information extraction, incomplete defect detection, and non-centralization

Active Publication Date: 2021-03-09
ZHEJIANG UNIV OF TECH
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the extraction of defect information by these defect assessment methods is still very limited, and problems such as incomplete and non-centralized defect detection have always existed

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
  • Infrared thermal image analysis method for nondestructive testing of defects of composite material
  • Infrared thermal image analysis method for nondestructive testing of defects of composite material
  • Infrared thermal image analysis method for nondestructive testing of defects of composite material

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0068] In order to effectively prove the effect of the OLPPT model proposed by the present invention, an artificially manufactured carbon fiber reinforced polymer (CFRP) sample is used as a defect detection object.

[0069] CFRP Defect Specimen Fabrication Process: In this CFRP specimen fabrication process, three flat-arranged Teflon strips with different shapes are inserted into the carbon fiber sheet during the step of performing lamination, purposefully producing different positions, Defects in shape and depth. The shallowest defect, located in the lower right quadrant, was created by inserting trapezoidal Teflon strips under the single-ply carbon fiber sheet to a depth of approximately 0.05 cm. In the middle part of the specimen, there is a circular defect under the two layers of carbon fiber plates, and its depth is about 0.10 cm. The d...

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 an infrared thermal image analysis method for nondestructive testing of defects of a composite material, which comprises the following steps of (1) data acquisition: acquiringthermal image data of internal defects of a polymer composite material by using a thermal infrared imager, including two processes of pulse heating of a sample and capture of a thermal image on the surface of the sample, (2) data preprocessing: preprocessing the original thermal image data acquired by the sensor, wherein the preprocessing comprises the following three parts: a) selecting an effective area of the image, b) expanding the data, and c) centralizing the data, (3) constructing a defect detection thermal image data analysis model OLPPT: calculating an embedded matrix Y of a feature space, (4) carrying out OLPPT model result visualization: carrying out embedded projection y visualization, and (5) quantitatively evaluating the effect of the OLPPT model: calculating a signal-to-noise ratio index.

Description

technical field [0001] The invention relates to an infrared thermal image analysis method for non-destructive detection of composite material defects, in particular to a processing and analysis method for thermal image data during the detection process of polymer composite material defects in industrial production. Background technique [0002] Polymer composites have become important materials for product manufacturing in the manufacturing industry due to their favorable properties. However, during the manufacturing process of composite materials, various types of invisible defects such as fiber breakage, voids, etc. will occur, which will negatively affect the quality of composite products. Therefore, accurate, effective and timely detection of defects in composite materials is of great significance for improving social and economic benefits. Non-destructive testing (NDT) technology has become the preferred choice for compound defect detection due to its advantages of non...

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
IPC IPC(8): G01N25/72G01J5/00
CPCG01N25/72G01J5/00G01J2005/0077
Inventor 刘毅刘凯新李蓥杰许永超杨建国
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products