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e-Journal of Nondestructive Testing
ISSN 1435-4934 · NDT.net · 719 artikel di indeks
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Artikel Jurnal
X-ray monitoring of the melt pool during additive manufacturing of stainless steel 316L: a comprehensive study of feasibility
Laser Metal Deposition with powder is an additive manufacturing technique used for repairing metal components or producing parts with complex geometries. These techniques are more and more present in the industry, and the need for live monitoring using nondestructive testing is rising. X-ray…
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Artikel Jurnal
Application of Acoustic Emission on fatigue Damage of steel Bridges
Acoustic emission technique was used during static load of steel part of bridge containing fatigue cracks. Next step of research program was monitoring of fatigue cracks on real steel bridge during loading by heavy trucks. Parallel to this experimental investigation the acoustic emission was used…
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Artikel Jurnal
The Non-Destructive Method of Elasticity Modulus Measurement of Valve Seats from STELLITE with Various Cryogenic Stavs
Function and straining of piston combustion engine valve seats. Utrasound diagnostics of composite valve seats (steel-graphite) durability. Pilot experiment in region of cryogennic temperature influence on mechanical properties of cobalt hot wear resistant alloys of STELLITE group determination…
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Artikel Jurnal
Interpretable CNN Regression for Thermal Hotspot Localization Using Continuous Wavelet Transforms
Structural Health Monitoring (SHM) is critical for ensuring the integrity of aerospace and civil structures. However, traditional damage localization methods often struggle with environmental variations, such as thermal gradients, which alter ultrasonic wave velocity and cause signal misalignment…
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Artikel Jurnal
Effect of High Temperatures on MFL Signals
Magnetic Flux Leakage (MFL) is a widely used non-destructive testing (NDT) technique for in line inspection (ILI) of pipelines, valued for detecting and characterising corrosion-induced metal loss. However, temperature can significantly affect measurement sensitivity and accuracy [1]. This study…
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Artikel Jurnal
Evaluation of Diameter Measurement Errors in Bores and Shafts Using X-ray Computed Tomography and Different Fitting Methods
As manufacturing tolerances become increasingly tight, non-contact measurement methods, such as X-ray computed tomography (XCT), are gaining importance in industrial dimensional metrology. This study evaluates the accuracy of diameter measurements for bores and shafts using XCT and compares three…
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Artikel Jurnal
Image quality analysis and improvements in a Low-Cost CT System
This work aims to quantitatively assess the image quality obtainable with a custom-built “do-it-yourself” CT system, whose construction and characteristics were presented in [1]. This system was built with the goal of being affordable and cheap to maintain, starting with an investment of under…
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Artikel Jurnal
X-ray Computed Tomography for Modal and NDT Analysis of Cantilever Beams
Conventional X-ray Computed Tomography is a robust modality for the volumetric characterization of static or quasi-statically loaded specimens. However, standard acquisition protocols are inherently limited when resolving high-frequency dynamic phenomena or structural instabilities in oscillating…
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Artikel Jurnal
CenterMask3D: Are Bounding-Box Based Approaches Suitable for Volumetric Instance Segmentation?
We evaluate CenterMask3D, an anchor-free volumetric instance segmentation method adapted from FCOS3D, for the analysis of industrial Computed Tomography data. The study utilizes a specialized dataset of CT scans featuring boxed shoes, characterized by complex geometries and overlapping instance…
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Artikel Jurnal
Integration of Inline Computed Tomography into Industry 4.0 Architectures using OPC UA
Inline Computed Tomography (CT) is a powerful non-destructive testing method that enables high-resolution internal inspection of components directly within production environments. While CT has traditionally been used in offline quality assurance, the integration of Industry 4.0 principles opens…
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Artikel Jurnal
Sparse-view Material Decomposition for Spectral X-ray CT using Neural Radiance Fields
We extend our NeRF-based material decomposition method for spectral X-ray CT (SXCT) to eliminate the need for pre-defined LAC for materials and detector calibration. By introducing a learnable Attenuation coefficient dictionary and an Energy Transformer, the method jointly estimates spatial…
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Artikel Jurnal
The ZnOrgBAT Project: a new generation of Zinc–based rechargeable batteries
The ZnOrgBAT project aims to develop next-generation zinc-based energy-storage systems by combining highly cyclable Zn anodes with high-capacity organic cathodes. Since the performance and durability of these batteries are critically influenced by the behaviour of the zinc anode, a fundamental…
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Artikel Jurnal
Spectral X-ray micro-CT Imaging of Rechargeable Alkaline Batteries
Rechargeable alkaline batteries (RABs) represent a promising post-lithium energy storage technology owing to their intrinsic safety, use of sustainable materials, and compatibility with existing battery manufacturing infrastructure. However, their commercial deployment remains limited by…
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Artikel Jurnal
In-situ investigation of fiber orientation and behavior in flowing polymer melts
Fiber-reinforced composites enable a wide range of applications due to their high mechanical properties while being light-weight. However, the full potential of these mechanical properties can only be reached by designing the respective part in such a way, that the fiber orientations are tailored…
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Artikel Jurnal
Enhanced Energy Resolution of Synchrotron Multispectral CT based on a Silicon Wafer Edge as Spectral‑Splitting Optics
Multispectral imaging at synchrotrons is of great importance since it enables the simultaneous acquisition of structural and chemical information while reducing implicitly beam hardening artefacts. This allows complex samples from the fields of materials sciences, biology, cultural heritage and…
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Artikel Jurnal
Multi-Material Empirical Artifact Correction (MEAK): Efficient Algorithm for Correcting Beam Hardening Artifacts in Multi-Material CT
Industrial X-ray computed tomography (CT) has become a well-established method for the fast, complete, and non-destructive measurement of workpieces. However, in multi-material components containing highly absorbing materials, beam hardening artifacts result in systematic measurement errors [1]…
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Artikel Jurnal
Cross-platform generalization of deep learning-based denoising reconstruction algorithms for industrial computed tomography applications
The purpose of this work is to expand the application of deep learning (DL) denoising image reconstruction algorithms to industrial computed tomography (CT) scanners. Leveraging a single stage and a two-stage U-Net architectures with optional synthetic prior and transfer learning, we demonstrate…
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Artikel Jurnal
Quantum Edge Detection on Industrial X-ray Data via Quantum Circuits
Edge detection is a vital component of industrial image-processing and evaluation workflows, particularly in X-ray computed tomography (XCT), where it underpins segmentation, feature extraction, and defect localization. Quantum computing provides powerful building blocks for image processing by…