A critical review on applications of artificial intelligence in manufacturing

O Mypati, A Mukherjee, D Mishra, SK Pal… - Artificial Intelligence …, 2023‏ - Springer
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …

Manufacturing process monitoring using time-frequency representation and transfer learning of deep neural networks

Y Liao, I Ragai, Z Huang, S Kerner - Journal of Manufacturing Processes, 2021‏ - Elsevier
On-line process monitoring increases product quality, improves process stability, and lowers
costs in manufacturing. This paper presents a study of using time-frequency representation …

Robust detection of ductile fracture by acoustic emission data-driven unsupervised learning

JH Kwon, NT Nguyen, MT Tran, HW Lee, HS Joo… - International Journal of …, 2024‏ - Elsevier
The quantitative assessment of the formability of bulk metallic materials remains
challenging, primarily due to considerable difficulties in accurately identifying the initiation of …

Investigation of bonding behavior of FRP and steel bars in self-compacting concrete structures using acoustic emission method

B Di, J Wang, H Li, J Zheng, Y Zheng, G Song - Sensors, 2019‏ - mdpi.com
To extend understanding of the bonding behavior of fiber reinforced polymer (FRP) and
steel bars in self-compacting concrete (SCC), an experimental series consisting of 36 direct …

An investigation of monitoring the damage mechanism in ultra-precision grinding of monocrystalline silicon based on AE signals processing

S Wang, Q Zhao, T Wu - Journal of Manufacturing Processes, 2022‏ - Elsevier
Ultra-precision grinding has become one of the most important processes in the production
of high-end optics made of hard and brittle materials. Due to the effects of ultra-precision …

[HTML][HTML] In-process monitoring strategies and methods in metal forming: A selective review

X He, T Welo, J Ma - Journal of Manufacturing Processes, 2025‏ - Elsevier
Metal forming is an important method for manufacturing of lightweight components that offer
enhanced functionality, energy efficiency and sustainability. The digital transformation in …

Stress-corrosion behavior of SiCf/SiC under CMAS-wet-oxygen environments

F Guo, X Chen, J Yang, X Zhang, J Hu, Y Kan, H Zhou… - Corrosion …, 2024‏ - Elsevier
SiC f/SiC used in aeroengine hot sections suffer serious recession under complicated
environments. Here, synergistic effects of CMAS and steam on the degradation of pre …

On the potential applications of acoustic emission in friction stir welding

D Ambrosio, G Dessein, V Wagner, M Yahiaoui… - Journal of Manufacturing …, 2022‏ - Elsevier
In friction stir welding (FSW), only a few studies related to acoustic emission (AE) signals
analysis have been conducted. In this work, the potential application of AEs in FSW is …

A data-based tool failure prevention approach in progressive die stam**

D Farioli, E Kaya, A Fumagalli, P Cattaneo… - Journal of Manufacturing …, 2023‏ - mdpi.com
The research on methods for monitoring sheet metal stam** is benefiting from the
increased availability of enabling technologies such as sensors, data mining software, cloud …

Ductile fracture locus under various deformation modes with negative-to-positive stress triaxiality

JH Kwon, JM Heo, NT Nguyen, MT Tran… - International Journal of …, 2024‏ - Elsevier
This study presents a comprehensive approach for constructing the ductile fracture locus of
cold-heading quality (CHQ) steel wires across a wide range of stress triaxialities, from− 0.58 …