Xingyao Liu

ORCID: 0000-0002-8500-9121
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Research Areas
  • Advanced Sensor and Energy Harvesting Materials
  • Mechanical Behavior of Composites
  • Fiber-reinforced polymer composites
  • Conducting polymers and applications
  • Surface Modification and Superhydrophobicity
  • Carbon Nanotubes in Composites
  • Polymer composites and self-healing
  • Tribology and Wear Analysis
  • Advanced materials and composites
  • Photochromic and Fluorescence Chemistry
  • Gaze Tracking and Assistive Technology
  • Welding Techniques and Residual Stresses
  • Photopolymerization techniques and applications
  • Boron Compounds in Chemistry
  • High-Velocity Impact and Material Behavior
  • Supercapacitor Materials and Fabrication
  • Dielectric materials and actuators
  • Video Surveillance and Tracking Methods
  • Advancements in Solid Oxide Fuel Cells
  • Electrospun Nanofibers in Biomedical Applications
  • Concrete and Cement Materials Research
  • Advancements in Battery Materials
  • Thin-Film Transistor Technologies
  • Non-Invasive Vital Sign Monitoring
  • Advanced Welding Techniques Analysis

Ningbo Institute of Industrial Technology
2022-2025

Dalian University of Technology
2022-2025

Chinese Academy of Sciences
2022-2025

Dalian University
2022-2024

Southwest Forestry University
2023

BOE Technology Group (China)
2023

University of Electronic Science and Technology of China
2023

Kunming University of Science and Technology
2021-2022

South China University of Technology
2022

Chongqing University of Posts and Telecommunications
2019

To improve the mechanical performance of carbon fiber (CF)/epoxy composites in high-temperature environments, a moderately modulus gradient interlayer was constructed at interface phase region composites. This involved design "rigid-flexible" synergistic reinforcement structure, incorporating rigid nanoparticle GO@CNTs and flexible polymer polynaphthyl ether nitrile ketone onto CF surface. Notably, 180 °C, compared to commercial composites, CF-GO@CNTs-PPENK displayed remarkable improvement...

10.1021/acsami.4c04051 article EN ACS Applied Materials & Interfaces 2024-04-18

The dispersion, electrical conductivities, mechanical properties and resistance–strain response behaviors of multiwalled carbon nanotube (MWCNT)/natural rubber (NR) composites synthesized by the different processing conditions are systematically investigated at both macro- micro-perspectives. Compared with solution flocculation methods, two roll method produced best MWCNTs distribution since materials mixed strong shear stress between rolls. An excellent segregated conductive network is...

10.3390/nano11071845 article EN cc-by Nanomaterials 2021-07-16

In this article, multiwalled carbon nanotube/natural rubber composites with resistance-strain sensitivity were prepared by solution method, when the electrical percolation threshold of nanotube is only ∼3.5 wt%. The mechanical properties and response studied analyzed systematically. dispersion nanotubes in natural matrix was characterized field-emission scanning electron microscope X-ray diffractometer. composite exhibits good deformation (gauge factor >27), large strain sensing range...

10.1177/18479804211011384 article EN cc-by Nanomaterials and Nanotechnology 2021-01-01

Aiming at the inaccuracy of regression position MTCNN human eyes when image resolution is low, a method for localization algorithm which based on prior face detection proposed in this paper. Firstly, eyebrow area segmented according to and pupil obtained by network. Then, gray gradient integral projection horizontal direction vertical are calculated. Finally, The key points positioning results combined accurately. experimental show that has accuracy 95.02%, good robustness eye with different quality.

10.1109/itaic.2019.8785430 article EN 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) 2019-05-01

Abstract To achieve long‐term and real‐time monitoring of the deformation isolation bearings, a conductive composite with natural rubber (NR) matrix modified by multiwalled carbon nanotubes (MWCNTs) is processed prestrain. The resistance‐strain response this indicates excellent uniformity, linearity, hysteresis, reproducibility stability due to prestrain process for before application. explain mechanism composite, theoretical model developed analyze relation between conductivity MWCNT...

10.1002/app.52430 article EN Journal of Applied Polymer Science 2022-04-22

Three different blending procedures were used to create multiwalled carbon nanotube (MWCNT)-modified chloroprene rubber (CR)/natural (NR) blended composites (MWCNT/CR–NR). The effects of the process on morphology conductive network and interfacial contacts researched, as well resistance–strain response behavior mechanism composite sensitivity change under processes. results show that MWCNT/CR–NR have a wide strain range (ε = 300%) high dynamic repeatability. Different interactions...

10.3390/polym14163326 article EN Polymers 2022-08-16

A novel Nd 1.8 La 0.2 Ni 0.74 Cu 0.21 Ga 0.05 O 4+ δ cathode is developed for a proton-conducting solid oxide fuel cell with high peak power density of 1.264 W cm −2 at 800 °C.

10.1039/d2re00213b article EN Reaction Chemistry & Engineering 2022-01-01

The intricate coupling of multiple physical fields and the nonlinear characteristics materials in induction welding carbon fiber composites render temperature transfer cross-scale fusion connection mechanism at interface ambiguous. In this study, we have developed a transient three-dimensional finite element model to simulate process fiber-reinforced polyphenylene sulfide (CF/PPS) composites. This integrates mechanisms electrical, magnetic, thermal multiphysical fields. primary objective is...

10.2139/ssrn.4748045 preprint EN 2024-01-01

This paper considers the problem of human vital sign detection in a non-line-of-sight scenario by exploiting millimeter-wave radar system. Specifically, first, multipaths induced wall reflections and corner diffraction are separated range-angle domain. Then, path association method is proposed to match different with targets obtain locations targets. After estimating targets' range cells, time series signs respect multipath formed used estimate respiration heartbeat information cross-power...

10.1109/icfeict59519.2023.00086 article EN 2023-05-01

Abstract Accurate evaluation of the thixotropy mixtures is crucial for design and production self‐compacting concrete, pumped 3D printed concrete. However, there no uniform standard assessment fresh cement‐based materials. In this paper, four widely used test procedures (thixotropic index, static yield stress growth curve, thixotropic hysteresis loop area, three‐stage curve) are compared to determine relationships between them. The results show that based on break‐down (destruction) process...

10.1002/suco.202300220 article EN Structural Concrete 2023-09-11

Abstract In this paper, the effect of WCp particle content (3 and 15 vol.%) laminate orientation on mechanical behavior laminated Cu/WCp/15p Cu/WCp/3p composites under dynamic impact was investigated using split Hopkinson pressure bar (SHPB) test. Subsequently, micro-damage evolution mechanism observed by scanning electron microscopy (SEM) optical microscopy. The results demonstrated that Cu/WCp are strain-rate-sensitive, a significant reinforcing composite properties observed. Furthermore,...

10.1088/2053-1591/abda6a article EN cc-by Materials Research Express 2021-01-01

Heteroatom-doped conductive carbon nanomaterials are promising for energy and catalysis applications, but there few reports on increasing their heteroatom doping content conductivity simultaneously. In this manuscript, we use 2-(4-aminophenyl)-5-aminobenzimidazole as the diamine monomer to prepare polyamic acid with asymmetric structural units doped phosphoric (PA) polyacrylonitrile (PAN) innovative composite precursors, which then electrospun into nanofiber films. After stabilization...

10.3390/ma15175955 article EN Materials 2022-08-29

Automatic parameter extraction of RPI Model for Polysilicon Thin‐Film Transistors is achieved by genetic algorithm(GA) and Particle swarm optimization(PSO) algorithm, the solution two algorithms are compared. Furthermore, mutual learning particle optimization (MLPSO) algorithm proposed, which simplifies complex manual processes empirical calibration, achieves accurate parameters extraction.

10.1002/sdtp.16970 article EN SID Symposium Digest of Technical Papers 2023-06-01
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