Shuai Chen

ORCID: 0000-0002-4065-3298
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About
Contact & Profiles
Research Areas
  • High-Velocity Impact and Material Behavior
  • Microstructure and mechanical properties
  • Energetic Materials and Combustion
  • Titanium Alloys Microstructure and Properties
  • Microstructure and Mechanical Properties of Steels
  • Electromagnetic Launch and Propulsion Technology
  • Anomaly Detection Techniques and Applications
  • Metal Forming Simulation Techniques
  • Metal Alloys Wear and Properties
  • Nuclear Materials and Properties
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Fire Detection and Safety Systems
  • Advanced materials and composites
  • Aluminum Alloys Composites Properties
  • Advanced Vision and Imaging

Nanjing University of Science and Technology
2021-2024

Shenyang University of Technology
2023

Université de Lyon
2018

Laboratoire de Mécanique des Contacts et des Structures
2018

Kyoto University
2013

Materials Science & Engineering
2013

Interstitial free (IF) steel specimens with different mean grain sizes ranging from 0.4 to 12 µm were fabricated by the accumulative roll bonding (ARB) process and subsequent annealing. Tensile tests at room temperature have revealed that decreasing size down an ultra-fine range, yielding behavior gradually changes continuous discontinuous yielding, accompanying a yield drop phenomenon. It has been found stress of having fine shows extra-hardening, deviated original Hall–Petch relation for...

10.2320/matertrans.ma201317 article EN MATERIALS TRANSACTIONS 2013-12-05

Nanocrystalline austenite having fully annealed and equiaxed morphology, grain sizes varying from 400 nm to 1.7 µm, a large fraction of high-angle boundaries was prepared in Fe–24Ni–0.3C (mass%) alloy by high-pressure torsion subsequent heat treatment. The nanostructures were formed through reverse transformation deformation-induced martensite recovery/recrystallization retained austenite. austenitic size decreased with increasing shear strain below the 50, while it increased above 50 due...

10.2320/matertrans.m2013324 article EN MATERIALS TRANSACTIONS 2013-12-05

To study the dynamic plastic properties of high-purity molybdenum materials at high temperature and strain rate, we designed tests to compare mechanical behaviour two with different purities processing deformation conditions under impact compression in range 297–1273 K. We analysed materials’ sensitivities strain-hardening effect, rate-strengthening temperature-softening effect as well comprehensive response combined rate temperature, adiabatic process, microstructure rate. Furthermore,...

10.3390/ma14174847 article EN Materials 2021-08-26

With the development of Internet Things, timely alarm and real-time monitoring Things have become a reality more important. Traditional remote technology has been unable to meet rapid demand for modern industry. In order needs new era, real-time, secure, intelligent extensible terminals research hotspot in This paper proposes human fall system, including establishment arm hardware platform, implantation Linux drivers applications, training deep learning model, deployment optimization...

10.1117/12.2692467 article EN 2023-08-23

A shaped charge was produced with liner vertex initiation that could form explosively formed projectile (EFP), the mechanism of EFP formation analyzed, based on energy conservation law and data from LS-DYNA numerical simulation, analytical models velocities penetration depth finite thickness armor target were obtained, finished experimental verification flash X-ray long distance EFP, comparing theoretical calculation results ones, errors velocities, length are only 3.6%, 4.1% 5.3%...

10.12783/ballistics2017/16947 article EN 29th International Symposium on Ballistics 2017-12-18

Deep convolutional neural networks with strong expressive ability have achieved impressive performances in single-image super-resolution algorithms. However, excessive convolutions usually consume high computational cost, which limits the application of technology low computing power devices. Besides, arbitrary scale factor has been ignored for a long time. Most previous researchers trained specific network model separately each factor, and taken several integer factors into consideration....

10.3390/app12094131 article EN cc-by Applied Sciences 2022-04-20
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