Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adaptive noise reduction and speech intelligibility using shape memory metamaterial-based hearing protection earmuffs.

The Journal of the Acoustical Society of America·2026
Same author

Explainable Deep Learning Framework for Binary Corrosion Image Classification Using Grad-CAM.

Sensors (Basel, Switzerland)·2025
Same author

Effect of age and driving experience on road sign comprehension: a systematic review and meta-analysis of two decades.

Psychological research·2025
Same author

Triangular reentrant honeycomb metamaterial structure for broadband sound attenuation using shape memory polymers.

Scientific reports·2025
Same author

Sustainable Aluminosilicate Coatings from Palm Oil Waste for Enhanced Thermal and Microstructure Properties.

Materials (Basel, Switzerland)·2025
Same author

Effect of microwave sintering on density, microstructural and magnetic properties of pure strontium hexaferrite at low temperatures and heating rate.

Heliyon·2024

Related Experiment Video

Updated: Jun 14, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.1K

Defect Detection of GFRP Composites through Long Pulse Thermography Using an Uncooled Microbolometer Infrared Camera.

Murniwati Anwar1, Faizal Mustapha2, Mohd Na'im Abdullah2

  • 1Department of Mechanical Engineering, University Kuala Lumpur Malaysia France Institute (UniKL-MFI), Bandar Baru Bangi 43650, Malaysia.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary

Optimized Long Pulse Thermography (LPT) effectively detects impact and depth defects in Glass Fiber Reinforced Polymer (GFRP) composites. Parameter tuning and image processing significantly improved defect detection accuracy, offering a cost-efficient NDT solution.

Keywords:
GFRPIR cameradefectimpactlong pulse thermography (LPT)uncooled microbolometer

More Related Videos

In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography
07:03

In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography

Published on: May 30, 2020

4.4K
Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

5.8K

Related Experiment Videos

Last Updated: Jun 14, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.1K
In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography
07:03

In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography

Published on: May 30, 2020

4.4K
Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

5.8K

Area of Science:

  • Materials Science
  • Non-Destructive Testing (NDT)
  • Composite Materials

Background:

  • Detecting impact and depth defects in Glass Fiber Reinforced Polymer (GFRP) composites is crucial for structural integrity.
  • Existing Non-Destructive Testing (NDT) methods face challenges due to varying defect characteristics and material properties.
  • Long Pulse Thermography (LPT) offers a cost-effective approach but is hindered by noise and image quality issues.

Purpose of the Study:

  • To optimize Long Pulse Thermography (LPT) parameters for accurate detection of impact and depth defects in GFRP composites.
  • To investigate the influence of environmental factors and surface properties on LPT performance.
  • To enhance defect classification and visualization using image processing techniques.

Main Methods:

  • Investigated 11 flat-bottom hole (FBH) depth defects and impact defects (8-15 J) in GFRP materials.
  • Examined key LPT parameters: environmental temperature, background reflection, background color reflection, and surface emissivity.
  • Applied image processing (Canny edge detection, Hough circle detection) and Tanimoto Criterion (TC) for defect analysis.

Main Results:

  • Optimized LPT parameters successfully enabled the detection of depth defects in GFRP.
  • Achieved a Tanimoto Criterion (TC) success rate of 0.91 for FBH depth defects in raw LPT images.
  • Post-processing significantly improved defect detection accuracy, highlighting the effectiveness of image analysis algorithms.

Conclusions:

  • Optimized Long Pulse Thermography (LPT) is a viable and cost-effective method for detecting defects in GFRP composites.
  • Parameter optimization and advanced image processing are essential for overcoming LPT limitations.
  • This study demonstrates a reliable approach for enhancing the accuracy and applicability of LPT in composite material assessment.