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

Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...

You might also read

Related Articles

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

Sort by
Same author

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026
Same author

Multilevel Analysis of Electrochemically Mediated Methanolysis of Poly(ethylene terephthalate) (PET).

Environmental science & technology·2026
Same author

Randomized Controlled Trial of Individualized Intervention for Frailty Reversal in Older Patients With Nondialysis CKD.

Kidney international reports·2026
Same author

Quantifying Deep-Level Defects-Dominated Degradation for Commercially Viable Perovskite Solar Cells.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Genome-guided generative adversarial learning enables nanopore adaptive sequencing.

Nature communications·2026
Same author

Dietary Supplementation with Algal-Derived Oligosaccharides: Impacts on the Growth Potential, Systemic Immunity, and Cecal Microbiota of Weaned Piglets.

Animals : an open access journal from MDPI·2026

Related Experiment Video

Updated: Jun 16, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.7K

IR thermography & NN models for damaged component thickness detection.

Chunming Ai1,2, Haichuan Lin3,4, Pingping Sun5

  • 1College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125000, China.

Scientific Reports
|February 17, 2025
PubMed
Summary

This study demonstrates rapid detection of metal component damage thickness using infrared thermography and a BP neural network. The findings validate using numerical simulations and neural networks for efficient, accurate thickness assessment in engineering applications.

Keywords:
BP neural networkCOMSOL heat transfer simulationDefect thickness detectionInfrared thermal wave nondestructive testingRapid detection

More Related Videos

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness
08:51

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness

Published on: January 22, 2012

19.2K
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

Related Experiment Videos

Last Updated: Jun 16, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.7K
The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness
08:51

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness

Published on: January 22, 2012

19.2K
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

Area of Science:

  • Materials Science and Engineering
  • Non-Destructive Testing
  • Artificial Intelligence in Engineering

Background:

  • Infrared thermography is a valuable tool for non-destructive testing.
  • Accurate assessment of damage thickness in metal components is crucial for structural integrity.
  • Existing methods for thickness detection can be time-consuming or less precise.

Purpose of the Study:

  • To develop a rapid and accurate method for detecting damage thickness in metal components.
  • To validate the use of infrared thermography combined with numerical simulation and BP neural networks.
  • To establish a foundation for applying BP neural network technology in engineering thickness detection.

Main Methods:

  • Combined heat transfer theory and image theory.
  • Performed theoretical analysis, finite element numerical simulation (COMSOL), and infrared thermography experiments.
  • Developed and trained a BP neural network prediction model using simulation and experimental data.

Main Results:

  • Experimental temperature rise curves aligned with simulated trends, validating numerical simulation's accuracy.
  • BP neural network predictions closely matched experimental data, confirming its feasibility for thickness detection.
  • Demonstrated the effectiveness of infrared thermal wave experiments under varying heating temperatures.

Conclusions:

  • Numerical simulation can effectively substitute for physical experiments in this context.
  • BP neural networks offer a feasible approach for the rapid detection of damage thickness in metal components.
  • The study provides a strong basis for the future application of neural network-based rapid detection technology in the engineering field.