Viet Q. Vu

ORCID: 0000-0003-3672-7124
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About
Contact & Profiles
Research Areas
  • Microstructure and mechanical properties
  • Metallurgy and Material Forming
  • Aluminum Alloys Composites Properties
  • Advanced machining processes and optimization
  • Metal and Thin Film Mechanics
  • Advanced battery technologies research
  • Advanced Surface Polishing Techniques
  • Advanced Machining and Optimization Techniques
  • Advanced materials and composites
  • Digital Transformation in Industry
  • Face recognition and analysis
  • Metal Forming Simulation Techniques
  • Microstructure and Mechanical Properties of Steels
  • Engineering Technology and Methodologies
  • Full-Duplex Wireless Communications
  • Natural Language Processing Techniques
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Manufacturing Process and Optimization
  • Advancements in Solid Oxide Fuel Cells
  • High-Velocity Impact and Material Behavior
  • Technology and Data Analysis
  • Advanced X-ray Imaging Techniques
  • Gas Sensing Nanomaterials and Sensors
  • Advanced Photocatalysis Techniques

Moscow Automobile and Road Construction State Technical University
2025

Thai Nguyen University
2021-2024

Hanoi University of Science and Technology
2022

Hospital Damas
2018-2021

Laboratoire d'Étude des Microstructures et de Mécanique des Matériaux
2018-2021

Université de Lorraine
2018-2021

Centre National de la Recherche Scientifique
2018-2021

Laboratoire d'Étude des Microstructures
2019

Hanoi University of Industry
2019

Arts et Métiers
2018

This paper introduces a new intelligent integration between an IoT platform and deep learning neural network (DNN) algorithm for the online monitoring of computer numerical control (CNC) machines. The proposed infrastructure is utilized cutting process while maintaining stability CNC machines in order to ensure effective processes that can help increase quality products. For this purpose, force sensor installed milling machine center measure vibration conditions. Accordingly, architecture...

10.1109/access.2022.3153471 article EN cc-by IEEE Access 2022-01-01

This work emphasizes the use of silver decorative method to enhance antibacterial activity TiO2 and ZnO nanoparticles. These silver-decorated nanoparticles (hybrid nanoparticles) were synthesized using sodium borohydride as a reducing agent, with weight ratio Ag precursors/oxide = 1:30. The morphology optical properties these hybrid investigated transmission electron microscopy (TEM), X-ray diffraction (XRD) patterns, UV-Vis spectroscopy. agar-well diffusion was used evaluate their against...

10.3390/jcs3020061 article EN Journal of Composites Science 2019-06-17

Mục tiêu: Nghiên cứu được thực hiện nhằm nhận xét kết quả chuyển đơn phôi đông lạnh ngày 5 so với 6 tại Bệnh viện Đông Đô. Phương pháp nghiên cứu: mô tả hồi trên 442 bệnh nhân (BN) < 35 tuổi, rất tốt hoặc 6, không làm sàng lọc từ tháng 01/2022 - 04/2024. Kết quả: 345 BN và 97 6. Đối nhóm 5: đa số 2 chất lượng khá tương ứng là 45,2% 54,8%. 6: 1 cơ cấu tỷ lệ 13,4% 86,6%. Tỷ có ßHCG dương tính ở cao hơn (85,8% 62,7%). thai lâm của (71,8% 54,4%). phát triển qua mốc 12 tuần (68,8% 45,4%). sinh...

10.51298/vmj.v547i1.12862 article VI Tạp chí Y học Việt Nam 2025-02-28

this review presents the corrosion resistance of epoxy coatings containing TiO2 nanotubes and BTA (benzotriazole)-modified nanotubes. The purpose study is to examine how effectively these materials protect against on metal surfaces in various environments. synthesis BTA/TiO2 offers a promising approach significantly enhance while also opening considerable potential for applications industries requiring high durability material protection. в данном обзоре рассматривается коррозионная...

10.58224/2619-0575-2025-8-1-2 article RU Chemical bulletin. 2025-03-30

A new severe plastic deformation process, flow machining (PFM), was introduced recently to produce sheet materials with ultrafine and gradient structures from bulk samples in one single step. During the PFM a part of rectangular sample is transformed into thin or fin under high hydrostatic pressure. The obtained heavily deformed presents strain across its thickness. present paper aims provide better understanding about this process via analytical modelling accompanied by finite element...

10.3390/ma11071218 article EN Materials 2018-07-16

Facial mask detection technology has become increasingly important even beyond the context of COVID-19 pandemic. Along with advancement in facial recognition technology, face a crucial feature for various applications. This paper introduces an Internet Things (IoT) architecture based on developed deep learning algorithm named You Only Look Once (YOLO) to keep society healthy, and secured, collect data future research. The proposed paradigm is built basis economic consideration easy...

10.3390/info14070379 article EN cc-by Information 2023-07-03

Plastic flow machining (PFM) is proposed as a new severe plastic deformation (SPD) technique capable of producing ultrafine‐grained sheet metal from bulk sample. Herein, model for the three strain paths that material follows during PFM extrusion process. The are justified by modeling texture evolution in good agreement with experiments zones. Two polycrystal models used to simulate evolution: viscoplastic self‐consistent (VPSC) approach and Taylor‐type lattice curvature‐based grain...

10.1002/adem.201900661 article EN Advanced Engineering Materials 2019-07-27

A new severe plastic deformation (SPD) process called flow machining (PFM) was recently proposed to produce thin sheets with gradient structures. In the present paper, role of die geometry is investigated by studying effects produced sheet thickness ( h ) on material properties commercial pure Aluminum (Al1050) processed PFM. The obtained experimental results show that an increase in range 0.65 1.5 mm improved formation efficiency sheet. Microstructures structures average grain size varying...

10.1155/2018/8747960 article EN cc-by Advances in Materials Science and Engineering 2018-01-01

The Friction-Assisted Lateral Extrusion Process (FALEP) is a severe plastic deformation (SPD) technique for producing metal sheets from bulk or powder in one single step at room temperature. In the present work, aluminum Al-1050 was deformed by FALEP. Then, its microstructure examined EBSD; crystallographic texture X-ray; material strength, ductility, and Lankford parameter tensile testing; latter also polycrystal plasticity simulations. It shown that highly refined, with grain size reduced...

10.3390/ma14092465 article EN Materials 2021-05-10

Abstract Obtaining fully dense products with high strength in one step at room temperature by powder metallurgy (PM) is generally not possible. However, doing so would reduce manufacturing and energy costs substantially. In this work, we have attempted to achieve on commercially pure aluminum utilizing the friction-assisted lateral extrusion process (FALEP), which has capability of producing sheets from bulk or metal a single step, applying large shear strain. The texture, microstructure,...

10.1115/1.4062582 article EN Journal of Manufacturing Science and Engineering 2023-05-22

This study aims to develop an accurate dynamic cutting force model in the milling process. In proposed model, estimated tackles effect of self-excited vibration that causes machining instability during particular, square root residual between prediction and actual is considered as objective function for optimizing coefficients using equilibrium optimizer (EO) approach instead trial-and-error approach. The results confirm can provide higher accuracy when EO applied. addition, has a minimum...

10.3390/math10183287 article EN cc-by Mathematics 2022-09-10

Significant increases in cathode discharge efficiency and capacity provide overall cell to alkaline EMD cells when extender materials with high volumetric gravimetric energy densities, such as CuO, are used. This secondary cathodic metal oxide is added the compartment of an a simple low cost means extend performance cell. Use compatible material combination improved balancing design utilization MnO2.

10.1149/1.2992492 article EN ECS Transactions 2008-10-03
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