In-situ monitoring of sub-surface and internal defects in additive manufacturing: A review

Y AbouelNour, N Gupta - Materials & Design, 2022 - Elsevier
Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …

Pipeline in-line inspection method, instrumentation and data management

Q Ma, G Tian, Y Zeng, R Li, H Song, Z Wang, B Gao… - Sensors, 2021 - mdpi.com
Pipelines play an important role in the national/international transportation of natural gas,
petroleum products, and other energy resources. Pipelines are set up in different …

Damage mechanism identification in composites via machine learning and acoustic emission

C Muir, B Swaminathan, AS Almansour… - npj Computational …, 2021 - nature.com
Damage mechanism identification has scientific and practical ramifications for the structural
health monitoring, design, and application of composite systems. Recent advances in …

Crack pattern recognition based on acoustic emission waveform features

J Dai, J Liu, L Zhou, X He - Rock Mechanics and Rock Engineering, 2023 - Springer
To better identify the crack propagation pattern of coal or rock sample during loading, such
as the initiation of new cracks or the propagation of pre-existing cracks. Acoustic emission …

A new method for detecting fatigue crack initiation in aluminum alloy using acoustic emission waveform information entropy

SF Karimian, M Modarres, HA Bruck - Engineering fracture mechanics, 2020 - Elsevier
Sensitive structures, such as airframes, need careful inspection and maintenance to avoid
fatigue failures. These activities are expensive, discrete and imperfect, since catastrophic …

A novel information entropy approach for crack monitoring leveraging nondestructive evaluation sensing

S Malik, A Kontsos - Mechanical Systems and Signal Processing, 2024 - Elsevier
The accurate detection of crack activity is crucial for both material performance evaluation
and structural damage assessment. Recent developments have found Shannon's …

Tracing fracture damage evolution and identifying damage patterns in cast steel using advanced acoustic emission analysis

X Wang, J Xu, Q Yue, X Liu - Engineering Fracture Mechanics, 2023 - Elsevier
The application of advanced acoustic emission signal analysis techniques can facilitate the
identification of fracture damage modes in ductile materials and enable the provision of …

Fracture toughness of cement paste constituents assessed by micro-scratching correlated with acoustic emission

J Němeček, R Čtvrtlík, L Václavek - Cement and Concrete Research, 2024 - Elsevier
The fracture toughness of cement paste is difficult to quantify both by standard
nanoindentation tests and by time-consuming and expensive measurements on micro …

Characteristics of friction and wear of Al-Zn-Mg-Cu alloy after application of ultrasonic shot peening technology

C Chen, H Zhang - Surface and Coatings Technology, 2021 - Elsevier
Abstract 7A52 aluminum alloys were treated by ultrasonic shot peening (USSP) technology.
Then, friction and wear behavior of 7A52 aluminum alloys was obtained by a ball-on-disk …

A machine learning framework for damage mechanism identification from acoustic emissions in unidirectional SiC/SiC composites

C Muir, B Swaminathan, K Fields… - npj Computational …, 2021 - nature.com
In this work, we demonstrate that damage mechanism identification from acoustic emission
(AE) signals generated in minicomposites with elastically similar constituents is possible. AE …