A review of non-destructive testing (NDT) techniques for defect detection: application to fusion welding and future wire arc additive manufacturing processes

M Shaloo, M Schnall, T Klein, N Huber, B Reitinger - Materials, 2022 - mdpi.com
In Wire and Arc Additive Manufacturing (WAAM) and fusion welding, various defects such as
porosity, cracks, deformation and lack of fusion can occur during the fabrication process …

SOMprocessor: A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing

MAA de Sousa, R Pires, E Del-Moral-Hernandez - Neural Networks, 2020 - Elsevier
The design of neuromorphic chips aims to develop electronic circuits dedicated to executing
artificial neural networks, mainly by exploring parallel processing. Unsupervised learning …

The state-of-the-art methodologies for quality analysis of arc welding process using weld data acquisition and analysis techniques

V Kumar, MK Parida, SK Albert - International Journal of System …, 2022 - Springer
Arc welding, due to its simplicity, ease of use and low maintenance cost is one of the most
widely used welding process in almost all types of modern industries. In this process …

Evaluation of welding skill using probability density distributions and neural network analysis

V Kumar, SK Albert, N Chandrasekhar, J Jayapandian - Measurement, 2018 - Elsevier
Abstract Manual Metal Arc Welding (MMAW) is learned best by practice and the current
procedure of assessing this learning is by inspection and/or testing of the weld. This is an …

Establishing correlation between current and voltage signatures of the arc and weld defects in GMAW process

A Sumesh, K Rameshkumar, A Raja… - Arabian journal for …, 2017 - Springer
Welding is one of the major metal-joining process employed in fabrication industries,
especially in manufacturing of boilers and pressure vessels. Control of weld quality is very …

Signal processing approach on weld data for evaluation of arc welding electrodes using probability density distributions

V Kumar, SK Albert, N Chandrasekhar - Measurement, 2019 - Elsevier
Abstract Shielded Metal Arc Welding (SMAW) Process utilizes a constant current type power
source with drooping characteristics. Due to complex nature of welding arc and metal …

Development of programmable system on chip-based weld monitoring system for quality analysis of arc welding process

V Kumar, SK Albert… - International Journal of …, 2020 - Taylor & Francis
Arc welding uses power sources of the constant current type having drooping characteristics
or constant voltage characteristics. However, in reality, arc welding is a stochastic process …

Data analysis and modeling techniques of welding processes: The state-of-the-art

RT Martinez, SCA Alfaro - Welding-Modern Topics, 2020 - books.google.com
Abstract Information contributes to the improvement of decision-making, process
improvement, error detection, and prevention. The new requirements of the coming Industry …

Effectiveness of frequency domain parameters in decision tree-based classification of GMAW defects

TP Rajan, K Sundareswaran… - International Journal …, 2023 - inderscienceonline.com
Capability of frequency domain parameters obtained through Fourier analysis of weld
signature (current and voltage signals) in decision tree-based real-time weld defect …

Application of continuous wavelet transform based on Fast Fourier transform for the quality analysis of arc welding process

V Kumar, S Ghosh, MK Parida, SK Albert - International Journal of System …, 2024 - Springer
Abstract SMAW (Shielded Metal Arc Welding) and GMAW (Gas Metal Arc Welding) are two
of the most prominent welding processes commonly utilized in almost all types of modern …