Recent advances in laser-cladding of metal alloys for protective coating and additive manufacturing

WYS Lim, J Cao, A Suwardi, TL Meng… - Journal of Adhesion …, 2022 - Taylor & Francis
Material degradation of metal alloys usually starts from the surface induced by tribological
systems along with extremities including elevated temperatures, irradiations, erosion …

Surface roughness prediction of large shaft grinding via attentional CNN-LSTM fusing multiple process signals

D Wang, C Han, L Wang, X Li, E Cai… - The International Journal of …, 2023 - Springer
Surface roughness is an important indicator for shaft grinding, and its prediction is always a
core issue in practice. The surface roughness of each part for a large shaft would be different …

Deep learning-based classification of damage-induced acoustic emission signals in UHPC

R Zhang, X Yan, L Guo - Construction and Building Materials, 2022 - Elsevier
Acoustic emission (AE) is advantageous in studying and monitoring the damage state of
UHPC, and its performance can be further improved if various damage-induced AE signals …

Visual measurement of grinding surface roughness based on feature fusion

J Huang, H Yi, A Shu, L Tang… - … Science and Technology, 2023 - iopscience.iop.org
Due to the random surface texture and weak features of the grinding processing, most
current visual measurement of grinding surface roughness is predicted by designing feature …

AMS-Net: Attention mechanism based multi-size dual light source network for surface roughness prediction

T Zhang, X Guo, S Fan, Q Li, S Chen, X Guo - Journal of Manufacturing …, 2022 - Elsevier
Real-time and efficient surface roughness measurement is very essential for machining.
Previously proposed non-contact roughness prediction methods usually use surface …

Machining surface roughness detection by adaptive deep fusion capsule network with low illumination and noise robustness

Z Huang, Q Zhang, J Shao, W Li, J Zhu… - Measurement Science …, 2023 - iopscience.iop.org
Surface roughness measurement is of great importance for monitoring machining quality. To
address the performance degradation of deep models caused by low illumination and …

KESTİRİMCİ BAKIMDA MAKİNE ÖĞRENMESİ: LİTERATÜR ARAŞTIRMASI

DR Dündar, İ Sarıçiçek, E Çinar… - … Mühendislik ve Mimarlık …, 2021 - dergipark.org.tr
Endüstriyel sistemlerdeki makine arızalarını önleyerek üretimde oluşabilecek kesintilerden
kaçınmak ve ilgili maliyetleri azaltmak etkin bir bakım yönetimi ile mümkündür. Etkin bakım …

Grinding wheel loading evaluation by using acoustic emission signals and digital image processing

CS Liu, YJ Ou - Sensors, 2020 - mdpi.com
In the manufacturing industry, grinding is used as a major process for machining difficult-to-
cut materials. Grinding is the most complicated and precise machining process. For grinding …

Surface roughness prediction based on fusion of dynamic-static data

J Wang, X Wu, Q Huang, Q Mu, W Yang, H Yang, Z Li - Measurement, 2025 - Elsevier
The surface roughness in mechanical milling is a critical indicator of machining quality. Due
to the variability in the geometric structure of the workpieces and the complexity of the milling …

Research on Curved Parts Surface Quality Detection during Laser‐Directed Energy Deposition Based on Blurry Inpainting Network

W Chen, B Zou, H Sun, Q Zheng… - Advanced …, 2023 - Wiley Online Library
The laser‐directed energy deposition technology can be used for additive/subtractive hybrid
manufacturing (ASHM). ASHM can realize the manufacturing of some complex parts, such …