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A Time Frequency-Based Approach for Defect Detection in Composites Using Nonstationary Thermal Wave Imaging
AbstractCharacterization of various industrial components without impairing their future utility increases the necessity of nondestructive testing...
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The Performance of a Force-Based General Defect Detection Method Outside of Calibration
Friction stir welding (FSW)Friction stir welding (FSW) is a solid state joiningJoining process that is suitable for many engineering designs. The...
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Deep and Handcrafted Feature Fusion for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging
AbstractRecent advancements of nondestructive testing and evaluation (NDT&E) with machine learning, artificial intelligence, and the internet of...
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Trends in defect passivation technologies for perovskite-based photosensor
Perovskites are semiconductor materials with the ABX3 structure, and they possess several attractive features, such as a tunable bandgap, high...
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A Review of Ultrasonic Testing Applications in Spot Welding: Defect Evaluation in Experimental and Simulation Results
Today, spot welding plays a special role in many engineering industries. Important industries such as automobiles use this method to connect...
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Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer
Detecting and analyzing various defect types in semiconductor materials is an important prerequisite for understanding the underlying mechanisms and...
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Improving Scattered Defect Grading in Castings Digital Radiographs via Smoothing the One-Hot Encoding
Ensuring the precise grading of discontinuities is imperative to guarantee the quality of castings and enhance profitability in casting production....
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Thiol-based defect healing of WSe2 and WS2
Recent research on two-dimensional (2D) transition metal dichalcogenides (TMDCs) has led to remarkable discoveries of fundamental phenomena and to...
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Quantitative Measurement of Defect Depth Using Pulsed Thermography: A Comparative Study
AbstractThe detection of defects within a material is a vital research area. The popular and effective quantitative prediction technique widely used...
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Spin-defect characteristics of single sulfur vacancies in monolayer MoS2
Single spin-defects in 2D transition-metal dichalcogenides are natural spin-photon interfaces for quantum applications. Here we report high-field...
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Multi-Axis 3D Printing Defect Detecting by Machine Vision with Convolutional Neural Networks
Part quality inspection is playing a critical role in Fused Deposition Modeling (FDM). It produces a part quality analysis report which can be...
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Deep Learning for DENIM Defects Detection
Fabric defects can be attributed to various factors such as raw material, spinning, weaving, knitting, and dyeing processes. These factors are the...
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Remodeling Electrophysiological Microenvironment for Promoting Bone Defect Repair via Electret Hybrid Electrospun Fibrous Mat
Improving the osteogenic properties of bone grafts plays a critical role in the repair and functional restoration of critical-sized bone defects. The...
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Finite Element Simulation of Laser-Synthetic Aperture Focusing Technique (SAFT) Detection of Additive Manufactured Parts
AbstractSelective laser melting (SLM) is an important method of additive manufacturing (AM). However, due to the large temperature gradient, defects...
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Wire Rope Damage Detection Based on Magnetic Leakage and Visible Light
This paper designs a set of wire rope broken wire damage detection systems, which realizes the complete process of wire rope damage identification,...
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Experimental Investigation of the Parameters Influencing the Surface Defect Detection by Using the Critically Refracted Longitudinal Waves
AbstractThe aim of this work is the detection of surface defects by the refracted longitudinal wave and the study of the parameters that influence...
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Defect-Modulated Trap Engineering of Long Persistent and Mechanoluminescence Phosphors for Advanced Applications
Defects in solids are not always harmful and often render materials with many fascinating physical properties. Especially, point defects may either...
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Classification and Early Detection of Solar Panel Faults with Deep Neural Network Using Aerial and Electroluminescence Images
This paper presents an innovative approach to detect solar panel defects early, leveraging distinct datasets comprising aerial and...
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Defect engineering of two-dimensional materials towards next-generation electronics and optoelectronics
The ultrathin body of two-dimensional (2D) materials provides potential for next-generation electronics and optoelectronics. The unavoidable atomic...
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Defect Types
This chapter provides an overview of the common types of defects found in various structural materials and joints in aircraft. Materials...