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

An infrared thermal image analysis method for non-destructive detection of composite material defects

A technology of non-destructive testing and analysis methods, applied in material defect testing, radiation pyrometry, measuring devices, etc., can solve problems such as lack of concentration, limited defect information extraction, incomplete defect detection, etc., to improve performance and promote internal defects. The effect of the ability to recognize

Active Publication Date: 2022-07-22
ZHEJIANG UNIV OF TECH
View PDF4 Cites 0 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
  • An infrared thermal image analysis method for non-destructive detection of composite material defects
  • An infrared thermal image analysis method for non-destructive detection of composite material defects
  • An infrared thermal image analysis method for non-destructive detection of composite material defects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The technical solutions of the present invention are further described below with reference to the accompanying drawings.

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

[0069] CFRP defect specimen fabrication process: During the fabrication of this CFRP specimen, different positions, Defects in shape and depth. The shallowest defect, located in the lower right quadrant, was created by inserting trapezoidal Teflon tape under a single-layer 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-layer carbon fiber sheet, and its depth is about 0.10 cm. The deepest defect is located in the upper left corner, a diamond-shaped defect covered by three layers of carbon fiber with a depth of 0.15 cm. The size of each defect area i...

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

PropertyMeasurementUnit
depthaaaaaaaaaa
Login to View More

Abstract

An infrared thermal image analysis method for non-destructive detection of composite material defects, comprising the following steps: (1) data acquisition: using an infrared thermal imager to obtain thermal image data of internal defects of polymer composite materials, including pulse heating and There are two processes for capturing the thermal image of the sample surface; (2) data preprocessing: preprocessing the original thermal image data collected by the sensor, including three parts: a) selection of effective image area b) data expansion c) centralization Processing; (3) Defect detection thermal image data analysis model OLPPT construction: calculating the embedding matrix Y of the feature space; (4) OLPPT model result visualization: embedding projection y visualization; (5) OLPPT model effect quantitative evaluation: Calculate the signal-to-noise ratio indicator .

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 defect detection process of polymer composite materials in industrial production. Background technique [0002] Polymer composites have become important materials for the manufacture of products in the manufacturing industry due to their good properties. However, during the manufacturing process of composite materials, various types of invisible defects such as fiber breakage, voids, etc. occur, which can 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 composite defect detection due to its non-destructive and c...

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): G01N25/72G01J5/48
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