Results 1 to 10 of about 393,571 (180)

Robotic Non-Destructive Testing. [PDF]

Sensors (Basel), 2022
Non-destructive testing (NDT) and evaluation (NDE) are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures without causing any damage [...]
Mineo C, Javadi Y.
europepmc   +6 more sources

Diffraction-limited hyperspectral mid-infrared single-pixel microscopy

Scientific Reports, 2023
In this contribution, we demonstrate a wide-field hyperspectral mid-infrared (MIR) microscope based on multidimensional single-pixel imaging (SPI). The microscope employs a high brightness MIR supercontinuum source for broadband (1.55 $$\upmu \hbox {m}$$
Alexander Ebner, Paul Gattinger, Ivan Zorin, Lukas Krainer, Christian Rankl, Markus Brandstetter   +5 more
doaj   +1 more source

X-ray-based examination of artworks by Cy Twombly: art technology and condition of the ‘Original Sculptures’

Heritage Science, 2023
What are Cy Twombly’s sculptures made of? This article presents an overview of a non-destructive examination conducted on three sculptures by American artist Cy Twombly (1928–2011) as part of an art-technological research project at the Doerner Institut ...
Juliana Reinhardt, Michaela Tischer, Simon Schmid, Jochen Kollofrath, Ruben Burger, Philipp Jatzlau, Elisabeth Bushart, Matthias Goldammer, Christian U. Grosse   +8 more
doaj   +1 more source

Application of Pulse Compression Technique in High-Temperature Carbon Steel Forgings Crack Detection with Angled SV-Wave EMATs

Sensors, 2023
In order to solve the difficulty in localization and poor signal-to-noise ratio (SNR) of the angled shear vertical wave (SV wave) electromagnetic acoustic transducer (EMAT) in cracks detection of high-temperature carbon steel forgings, a finite element ...
Min He, Wenze Shi, Chao Lu, Guo Chen, Fasheng Qiu, Ying Zhu, Yuan Liu   +6 more
doaj   +1 more source

On the uncertainty in the segmentation of ultrasound images reconstructed with the total focusing method

SN Applied Sciences, 2023
Article Highlights This study uses neural networks to probabilistically segment TFM images and investigate uncertainty. The probabilistic U-Net outperforms other models, and high uncertainty is found in the shadow zone, reflections, and small defects ...
Simon Schmid, Haoyu Wei, Christian U. Grosse   +2 more
doaj   +1 more source

Studies of Angular Resolution for Acoustic Arc Arrays

Sensors, 2023
Currently, phased arrays are increasingly used in ultrasonic nondestructive testing. One of the most important parameters of ultrasonic nondestructive testing with the application of phased arrays is the angular resolution.
Dmitry A. Sednev, Alexey I. Soldatov, Andrey A. Soldatov, Maria A. Kostina, Dmitry O. Dolmatov, Daria A. Koneva   +5 more
doaj   +1 more source

Automatic generation of cross sections from computed tomography data of mechanical joining elements for quality analysis

SN Applied Sciences, 2021
In this work, we present a methodology for shifting from a conventionally destructive, manual quality analysis for repetitive processes towards a non-destructive and largely automated process.
T. M. Schromm, C. U. Grosse
doaj   +1 more source

The Effect of the Position Determination Error for Flexible Linear Array Elements on the Tomogram Focusing

Sensors, 2023
In the article, the study of the quality of tomogram focusing during the inspection of objects with curved surfaces by flexible acoustic array was described.
Dmitry A. Sednev, Alexey I. Soldatov, Andrey A. Soldatov, Maria A. Kostina, Daria A. Koneva   +4 more
doaj   +1 more source

From 2D projections to the 3D rotation matrix: an attempt for finding a machine learning approach for the efficient evaluation of mechanical joining elements in X-ray computed tomography volume data

SN Applied Sciences, 2022
Destructive and predominantly manual procedures are commonly used in the automotive industry for the testing of mechanical joints, such as rivets or screws.
T. M. Schromm, C. U. Grosse
doaj   +1 more source

Crack classification and quantitative evaluation based on dimensionality reduction optimization model of multifeature weak magnetic signal

Results in Engineering, 2023
In this paper, we propose a classification and quantitative method based on the optimization model of dimensionality reduction for detecting crack defects in superalloy turbine disks using multifeature weak magnetic signals.
Bo Hu, Weitao Luo, Wenze Shi, Guisuo Xia, Hongzhi Cheng   +4 more
doaj   +1 more source