Tao Xie

ORCID: 0000-0001-7223-9553
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About
Contact & Profiles
Research Areas
  • Innovative Energy Harvesting Technologies
  • Energy Harvesting in Wireless Networks
  • Advanced Sensor and Energy Harvesting Materials
  • Fluid Dynamics and Vibration Analysis
  • Vibration Control and Rheological Fluids
  • Gear and Bearing Dynamics Analysis
  • Tribology and Lubrication Engineering
  • Adhesion, Friction, and Surface Interactions
  • Metal Forming Simulation Techniques
  • Vibration and Dynamic Analysis
  • Wireless Power Transfer Systems
  • Advanced Surface Polishing Techniques
  • Acoustic Wave Phenomena Research
  • Underwater Vehicles and Communication Systems
  • Metallurgy and Material Forming
  • Mechanical stress and fatigue analysis
  • Structural Health Monitoring Techniques
  • Fluid Dynamics and Turbulent Flows
  • Lattice Boltzmann Simulation Studies
  • Aerodynamics and Fluid Dynamics Research
  • Mechanical Engineering and Vibrations Research
  • Railway Engineering and Dynamics
  • Magnetic Bearings and Levitation Dynamics
  • Acoustic Wave Resonator Technologies
  • 3D Shape Modeling and Analysis

Harbin Institute of Technology
2015-2024

Nanjing University of Information Science and Technology
2024

Beijing Technology and Business University
2024

Group Sense (China)
2023

State Key Laboratory of Robotics and Systems
2020

Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2018

Tianjin University
2018

South China University of Technology
2011-2014

Xi'an University of Technology
2009-2012

Jinan Foundry and Metalforming Machinery Research Institute (China)
2010

This paper presents a novel tunable multi-frequency hybrid energy harvester (HEH). It consists of piezoelectric (PEH) and an electromagnetic (EMEH), which are coupled with magnetic interaction. An electromechanical coupling model was developed numerically simulated. The effects force, mass ratio, stiffness mechanical damping ratios on the output power were investigated. A prototype fabricated characterized by experiments. measured first peak increases 16.7% 833.3% compared that EMEH PEH,...

10.3390/app6010010 article EN cc-by Applied Sciences 2016-01-05

A novel piezoelectric energy harvester equipped with two beams and cylinders was proposed in this work. The can convert the kinetic of water into electrical by means vortex-induced vibration (VIV) wake-induced (WIV). effects load resistance, velocity cylinder diameter on performance were investigated. It found that upstream VIV which enhanced harvesting capacity beam. As for downstream cylinder, both WIV could be obtained. small L/D, e.g., 2.125, 2.28, 2.5, 2.8. Additionally, stimulated...

10.3390/app5041942 article EN cc-by Applied Sciences 2015-12-17

This work presents a novel bird-shaped broadband piezoelectric energy harvester based on two-DOF crossed beam for low-frequency environmental vibrations. The features cantilever mounted double-hinged beam, whose rotating motions effectively diminish its natural frequencies. Numerical simulation the finite element method is conducted to analyze modal shapes and harmonic response of proposed harvester. Prototypes are fabricated experiments carried out by testing system, results indicate good...

10.3390/mi14020421 article EN cc-by Micromachines 2023-02-10

10.1007/s00170-015-7540-1 article EN The International Journal of Advanced Manufacturing Technology 2015-07-29

Flow-induced energy harvesting has attracted more and attention among researchers in both fields of the wind fluid. Piezoelectric harvesters triboelectric nanogenerators are exploited to obtain superior performance sustainability, electromagnetic conversion been continuously improved meantime. Aiming at different circumstances, have designed, manufactured, tested a variety harvesters. In this paper, we analyze state-of-the-art techniques categorize them based on working environment,...

10.3390/en12112184 article EN cc-by Energies 2019-06-07

In this work, we show that it is feasible to perform multiple tasks concurrently on point cloud with a straightforward yet effective multi-task network. Our framework, Poly-PC, tackles the inherent obstacles (e.g., different model architectures caused by task bias and conflicting gradients dataset domains, etc.) of learning cloud. Specifically, propose residual set abstraction (Res-SA) layer for efficient scaling in both width depth network, hence accommodating needs various tasks. We...

10.1109/cvpr52729.2023.00125 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023-06-01

Active reducing the skin friction drag of vehicles (such as missiles, rockets, aircraft, high-speed train, submarines, etc.) during navigation process can improve respond speed effectively, save energy consumption and increase endurance time. As lots active reduction methods were proposed for different applications, a review article is urgently needed to guide researchers choose suitable their pre-research. In this review, generation mechanisms under action disturbing turbulent boundary...

10.1109/access.2020.2963843 article EN cc-by IEEE Access 2020-01-01

This paper proposes a novel and efficient energy harvester (EH) system, for capturing simultaneously flutter vortex-induced vibration. There exists coupling effect between flexible spring (FSEH) cantilever beam (CBEH) in aerodynamic response output characteristic. Many prototypes of the were manufactured to explore wind tunnel. The experimental results demonstrate that FSEH is mainly subjected flutter-induced vibration CBEH undergoes Disturbance first takes place, limited oscillation cycle...

10.3390/en13123101 article EN cc-by Energies 2020-06-16
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