patents.google.com

Tian et al. - Google Patents

  • ️Wed Jan 01 2020
Laser Arrays Scanning Thermography with Optimized Excitation Signals for Efficient Rail Defect Detection

Tian et al.

View PDF
Document ID
16707179093441120255
Author
Peng J
Zhang Q
Zhang F
Li J
Publication venue
Available at SSRN 5129624

External Links

Snippet

Abstract Laser Arrays Scanning Thermography (LAsST) leverages the advantages of multi- point laser by dynamically modulating the laser excitation signal, concentrating energy to amplify defect temperature differences, thereby enhancing the sensitivity of surface defect …

Continue reading at papers.ssrn.com (PDF) (other versions)
  • 238000001514 detection method 0 title abstract description 14

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/72Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables
    • G01N27/82Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
    • G01N27/90Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
    • G01N27/9006Details
    • G01N27/9013Details specially adapted for scanning
    • G01N27/902Details specially adapted for scanning by moving the sensors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/89Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00Investigating or analyzing materials by the use of thermal means
    • G01N25/72Investigating presence of flaws
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/22Details, e.g. general constructional or apparatus details
    • G01N29/24Probes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/71Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited

Similar Documents

Publication Publication Date Title
Cai et al. 2020 Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature
RU2549913C2 (en) 2015-05-10 Thermographic method of control and monitoring device for implementing method
Liu et al. 2019 Natural crack diagnosis system based on novel L-shaped electromagnetic sensing thermography
RU2456585C2 (en) 2012-07-20 Method for automated flaw detection on joints of materials
US8541746B2 (en) 2013-09-24 Process and system for the nondestructive quality determination of a weld seam, and a welding device
Zhu et al. 2018 Probability of detection for eddy current pulsed thermography of angular defect quantification
Shi et al. 2021 A technique combining laser spot thermography and neural network for surface crack detection in laser engineered net shaping
Puthiyaveettil et al. 2020 Laser line scanning thermography for surface breaking crack detection: modeling and experimental study
Zhu et al. 2019 Comparison study of different features for pocket length quantification of angular defects using eddy current pulsed thermography
US12038270B2 (en) 2024-07-16 Shearography testing method and system using shaped excitation light having at least one curved line
Cheng et al. 2016 Stainless steel weld defect detection using pulsed inductive thermography
Kouprianoff et al. 2018 Acoustic emission technique for online detection of fusion defects for single tracks during metal laser powder bed fusion
Wu et al. 2018 Weld crack detection based on region electromagnetic sensing thermography
Santoro et al. 2024 Frequency-based analysis of active laser thermography for spot weld quality assessment
Rodriguez-Cobo et al. 2014 Fiber Bragg grating sensors for on-line welding diagnostics
Qiu et al. 2019 Detection of surface cracks by laser spot thermography at elevated temperature
JP4367932B2 (en) 2009-11-18 Method and apparatus for detecting defects in steel structures
Tian et al. 0 Laser Arrays Scanning Thermography with Optimized Excitation Signals for Efficient Rail Defect Detection
Vaibhav et al. 2016 Eddy current thermography for rail inspection
Yang et al. 2022 The wavelet-based self-similarity analysis for the detection of fatigue microcrack by the joint scanning laser thermography
He et al. 2024 Analysis of image formation laws and enhancement methods for weld seam defects based on infrared and magneto-optical sensor technology
Tian et al. 2023 Multi-feature Fusion Imaging Based on Machine Learning for Weld Defect Detection Using Induction Scanning Thermography
Kumar et al. 2020 Eddy Current Thermography as a Tool for Detecting the Location and Dimension of Edge Defects in Cr–Mo Steel Plate
Zhu et al. 2018 Investigation of a new feature for angular defect quantification by eddy current pulsed thermography
Hu et al. 2014 A review and preliminary experiment on application of infrared thermography in welding