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The apparent effusivity method for normalized thermal contrast evaluation in infrared thermographic testing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23640%2F23%3A43970754" target="_blank" >RIV/49777513:23640/23:43970754 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.infrared.2023.104931" target="_blank" >https://doi.org/10.1016/j.infrared.2023.104931</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.infrared.2023.104931" target="_blank" >10.1016/j.infrared.2023.104931</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The apparent effusivity method for normalized thermal contrast evaluation in infrared thermographic testing

  • Original language description

    Thermographic nondestructive testing is used for the detection of near-surface discontinuities in materials, where indications of potential defects or discontinuities are detected and evaluated by their thermal contrast. The key requirements for successful thermographic data processing include managing non-uniform heating and identifying nominal areas. Advanced methods often rely on numerical simulation, which can be challenging and time-consuming. This study suggests a new simple method of thermal contrast calculation for flash-pulse thermography. It is based on the analysis of the inverse apparent effusivity. It includes an automated indication of the sound (defect-free) area and the creation of an artificial reference sequence, which is based on a temperature profile of the sound area and the non-uniform heating map. Derivative analysis of the smoothed contrast data is applied to improve detectability and Contrast/Noise Ratio (CNR). An experimental comparison of the proposed method with other known methods is presented. In the presented example, it allowed detection of 23 defects with an average CNR of 6.13 dB, against the traditional differential absolute contrast method, which detected only 13 defects with an average CNR of 0.53 dB. Thus, high detectability and high CNR values provided by the proposed method are demonstrated.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

    <a href="/en/project/EF18_069%2F0010018" target="_blank" >EF18_069/0010018: LABIR-PAV / Pre-application research of infrared technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    INFRARED PHYSICS &amp; TECHNOLOGY

  • ISSN

    1350-4495

  • e-ISSN

    1879-0275

  • Volume of the periodical

    134

  • Issue of the periodical within the volume

    NOV 2023

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001088651100001

  • EID of the result in the Scopus database

    2-s2.0-85173432189