Progressive developments, challenges and future trends in laser shock peening of metallic materials and alloys: A comprehensive review

W Deng, C Wang, H Lu, X Meng, Z Wang, J Lv… - International Journal of …, 2023 - Elsevier
Grain refinement and arrangement is an effective strategy to enhance tensile and fatigue
properties of key metallic components. Laser shock peening (LSP) is one of surface severe …

On-line evaluation and monitoring technology for material surface integrity in laser shock peening–A review

R Qin, Z Zhang, Z Hu, Z Du, X Xiang, G Wen… - Journal of Materials …, 2023 - Elsevier
Laser shock peening (LSP) is a multidisciplinary surface plasticity strengthening technique
that significantly enhances the mechanical properties of metallic materials by introducing …

A critical review of laser shock peening of aircraft engine components

Y Ye, Y Zhang, T Huang, S Zou, Y Dong… - Advanced …, 2023 - Wiley Online Library
Many aviation accidents are caused by the failure of aircraft engine components, and engine
blades are especially vulnerable to high‐cycle fatigue fracture in severe working …

Femtosecond laser drilling of film cooling holes: quantitative analysis and real-time monitoring

T Sun, Z Fan, X Sun, Y Ji, W Zhao, J Cui… - Journal of Manufacturing …, 2023 - Elsevier
The damage to opposite wall caused by excessive ablation will severely affect the
performance of the turbine blade in femtosecond laser drilling of film cooling holes. Real …

Acoustic emission technology-based multifractal and unsupervised clustering on crack damage monitoring for low-carbon steel

J Huang, Z Zhang, B Zheng, R Qin, G Wen, W Cheng… - Measurement, 2023 - Elsevier
Structural crack damage caused by high-stress concentration and external alternating load
is characterized by imperceptible and low damage load, which makes online monitoring …

An adaptive cepstrum feature representation method with variable frame length and variable filter banks for acoustic emission signals

R Qin, J Huang, Z Zhang, Z Du, X Xiang, Y Yu… - … Systems and Signal …, 2024 - Elsevier
Acoustic emission technology is widely employed in defect detection, structural health
monitoring, fault diagnosis, and other applications due to its benefits of non-contact, real …

The coupling machine learning for microstructural evolution and rolling force during hot strip rolling of steels

C Cui, G Cao, X Li, Z Gao, X Zhou, Z Liu - Journal of Materials Processing …, 2022 - Elsevier
Microstructural evolution during hot rolling, which is complex and unperceptive but has
direct effects on rolling forces, determines the final microstructure and mechanical properties …

A novel physically interpretable end-to-end network for stress monitoring in laser shock peening

R Qin, Z Zhang, J Huang, Z Du, X Xiang, J Wang… - Computers in …, 2024 - Elsevier
The data-driven method based on acoustic emission signals is gradually becoming a hot
topic in the field of laser shock peening quality monitoring. Although some existing deep …

Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention …

R Qin, Z Zhang, J Huang, J Wang, Z Du, G Wen… - Expert Systems with …, 2023 - Elsevier
The quality monitoring of the laser shock peening (LSP) process is of great significance for
improving the intelligence of precision manufacturing. At present, the monitoring method …

Detecting defects in fused deposition modeling based on improved YOLO v4

L Xu, X Zhang, F Ma, G Chang, C Zhang… - Materials Research …, 2023 - iopscience.iop.org
Fused deposition modeling comes with many conveniences for the manufacturing industry,
but many defects tend to appear in actual production due to the problems of the FDM …