Results 11 to 20 of about 5,622 (205)

Nondestructive Evaluation of BSCC Artificial Heart Valves [PDF]

open access: yesMATEC Web of Conferences, 2022
The subject of investigation is a set of four artificial heart valves made of electrically conductive material, namely the alloy Ti-6Al-4V. Notches of defined geometry with gradually increasing depth were formed on these BSCC (Bjork-Shiley Convexo ...
Sapieta Milan   +3 more
doaj   +1 more source

Combined lock-in thermography and heat flow measurements for analysing heat dissipation during fatigue crack propagation [PDF]

open access: yesFracture and Structural Integrity, 2015
During fatigue crack propagation experiments with constant force as well as constant stress intensity lock in thermography and heat flow measurements with a new developed peltier sensor have been performed.
J. Baer, A. Vshivkov, O. Plekhov
doaj   +2 more sources

Estimating Thermal Material Properties Using Solar Loading Lock-in Thermography

open access: yesApplied Sciences, 2021
This work investigates the application of lock-in thermography approach for solar loading thermography applications. In conventional lock-in thermography, a specimen is subjected to a periodically changing heat flux.
Samuel Klein   +2 more
doaj   +1 more source

Qualitative Comparison of Lock-in Thermography (LIT) and Pulse Phase Thermography (PPT) in Mid-Wave and Long-Wave Infrared for the Inspection of Paintings

open access: yesApplied Sciences, 2023
When studying paintings with active infrared thermography (IRT), minimizing the temperature fluctuations and thermal shock during a measurement becomes important.
Michaël Hillen   +6 more
doaj   +1 more source

Ensemble Joint Sparse Low Rank Matrix Decomposition for Thermography Diagnosis System [PDF]

open access: yes, 2021
Composite is widely used in the aircraft industry and it is essential for manufacturers to monitor its health and quality. The most commonly found defects of composite are debonds and delamination.
Ahmedtl, Junaid   +3 more
core   +1 more source

Convolution Neural Network Fusion Lock-In Thermography: A Debonding Defect Intelligent Determination Approach for Aviation Honeycomb Sandwich Composites (HSCs)

open access: yesMetals, 2023
This report is on convolution neural network (CNN) fusion lock-in thermography, which can implement the intelligent identification of defects for aviation honeycomb sandwich composites (HSCs).
Xinjian Wang   +5 more
doaj   +1 more source

Multi-scale gapped smoothing algorithm for robust baseline-free damage detection in optical infrared thermography [PDF]

open access: yes, 2020
Flash thermography is a promising technique to perform rapid non-destructive testing of composite materials. However, it is well known that several difficulties are inherently paired with this approach, such as non-uniform heating, measurement noise and ...
Hedayatrasa, Saeid   +4 more
core   +2 more sources

Lock-in and pulsed thermography for solar cell testing [PDF]

open access: yesApplied Optics, 2018
Inspection of solar cells is an important part of their production process because even small defects can cause a significant drop of a whole photovoltaic module performance. LED illuminated lock-in (LEDILIT) and flash-pulse thermographic techniques (FPT) were compared in this study. Lock-in methods are more commonly used for solar cell inspection. The
L. Muzika, M. Švantner, M. Kučera
openaire   +4 more sources

Detectability of Subsurface Defects in Polypropylene/Glass Fiber Composites Using Multiple Lock-In Frequency Modulated Algorithms

open access: yesApplied Sciences, 2022
Recently, thermographic testing has been applied as a non-destructive evaluation technology for composite materials due to its remarkable advantages, such as its non-contact, non-destructive, and high-speed properties, it is harmless to the human body ...
Yoonjae Chung   +3 more
doaj   +1 more source

Lock‐In Thermography to Analyze Plasmonic Nanoparticle Dispersions [PDF]

open access: yesParticle & Particle Systems Characterization, 2019
AbstractThe physicochemical properties of nanoparticles (NPs) strongly rely on their colloidal stability, and any given dispersion can display remarkably different features, depending on whether it contains single particles or clusters. Thus, developing efficient experimental methods that are able to provide accurate and reproducible measures of the NP
Lukas Steinmetz   +7 more
openaire   +2 more sources

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