Laser polishing of additive manufactured Ti6Al4V alloy: a review

J Li, D Zuo - Optical Engineering, 2021 - spiedigitallibrary.org
Additive manufactured Ti6Al4V alloy has excellent comprehensive properties and has
broad application prospects in the aerospace, biomedicine, and other fields. However, the …

A review of friction stir joining of SiCp/Al composites

L Zuo, X Zhao, Z Li, D Zuo… - Chinese Journal of …, 2020 - ui.adsabs.harvard.edu
SiCp/Al composites have excellent comprehensive properties and have been widely used in
aerospace, automotive industry and other fields. Due to the huge difference in performance …

Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter

…, Y Tang, Y Su, W Feng, B Wang, P Chen, D Zuo - … Applications of Artificial …, 2024 - Elsevier
Bearing fault diagnosis is vital for ensuring reliability and safety of high-speed trains and
wind turbines. Therefore, a minimum unscented Kalman filter-aided deep belief network is …

Investigation on tool wear in friction stir welding of SiCp/Al composites

L Zuo, W Shao, X Zhang, D Zuo - Wear, 2022 - Elsevier
The hard particles in particle-reinforced aluminum matrix composites significantly increases
tool wear during friction stir welding (FSW), resulting in the shortage of tool life. In this study, …

Hot corrosion behaviour of low Al NiCoCrAlY cladded coatings reinforced by nano-particles on a Ni-base super alloy

H Wang, D Zuo, G Chen, G Sun, X Li, X Cheng - Corrosion Science, 2010 - Elsevier
Three NiCoCrAlY coatings with Al content lower than 5wt.% reinforced by different kinds of
nano-particles with the same addition and one without nano-particles were prepared on a Ni-…

A novel convolutional neural network for low-speed structural fault diagnosis under different operating condition and its understanding via visualization

H Tang, Z Liao, P Chen, D Zuo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A novel method of intelligent diagnosis is proposed for structural faults in low-speed rotating
machinery. It uses a hybrid scheme to automatically identify health states in a complex …

Experimental study on mechanical performance of polydimethylsiloxane (PDMS) at various temperatures

G Zhang, Y Sun, B Qian, H Gao, D Zuo - Polymer Testing, 2020 - Elsevier
The Abrasive Jet Machining (AJM) of Polydimethylsiloxane (PDMS) is very slow or even
impossible at room temperature due to its ability to absorb the energy of the impacting particles. …

Design of high-performance high-entropy nitride ceramics via machine learning-driven strategy

…, C Gao, W Zhao, L Shu, X Shi, MF Yuen, D Zuo - Ceramics …, 2023 - Elsevier
High-entropy nitride (HEN) ceramics have exhibited excellent mechanical properties in
comparison to transition metal nitrides. However, the huge unexplored compositional space …

Machine learning-assisted mechanical property prediction and descriptor-property correlation analysis of high-entropy ceramics

…, F Xu, C Gao, D Zhang, X Shi, MF Yuen, D Zuo - Ceramics …, 2023 - Elsevier
High-entropy ceramics have attracted extensive attention due to their unique properties.
However, the development of novel ceramics has been hindered by extensive trial-and-error …

A robust deep learning network for low-speed machinery fault diagnosis based on multikernel and RPCA

H Tang, Z Liao, P Chen, D Zuo… - IEEE/ASME transactions …, 2021 - ieeexplore.ieee.org
Machinery fault diagnosis is an attractive but challenging task, especially for low-speed
conditions. Therefore, a new discriminative approach that introduces robust principal component …