Fei Wan

Dr. Fei Wan

Henan University of Urban Construction
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019
Verified
Conference Paper
Closed access
XZXiaoxi Zhang
Xiaoxi Zhang
YYYong Yin
Yong Yin
FWFei Wan
Fei Wan
In order to solve the problems of high safety risk and low training efficiency in underwater operation of deep submersible vehicle. Taking China's first manned deep submarine vehicle “jiaolong” as the simulation prototype, an underwater training platform is developed, which is not limited by time and place. Using three-dimensional modeling technology to build the three-dimensional model of “jiaolong” A mathematical model of the motion of a manipulator is established to simulate the associated motion between the joints of the manipulator. The collision detection technique is used to determine whether there is interaction between the manipulator and the operated object, between the object and the sampling basket, and between the equipment and the scene. The system is based on 3D development engine, which includes cobalt-rich crust mining area, polymetallic sulphide area, shallow sea area and cold spring area and so on. With this system the operator can train the underwater operation process. The system uses virtual reality helmet as the final visual display mode and the line of sight collision detection based on helmet instead of mouse click to simulate the whole process of underwater operation of deep submersible.

18 May 2021 in International Journal of Modeling, Simulation, and Scientific Computing
Verified
Journal Article
Closed access
PDF file
SQShaoyang Qiu
Shaoyang Qiu
HRHongxiang Ren
Hongxiang Ren
TZTeng Zhang
Teng Zhang
XQXiaobin Qian
Xiaobin Qian
FWFei Wan
Fei Wan
LWLei Wang
Lei Wang

1 March 2019
Verified
Conference Paper
Closed access
FWFei Wan
Fei Wan
YYYong Yin
Yong Yin
XZXiaoxi Zhang
Xiaoxi Zhang
We perform a virtual simulation of deep-sea hydrothermal fluids by using a combination of physical-based particles and grids. We use Vortex-In-Cell method to simulate vorticity and generate induced velocity fields, and the semi-Lagrangian method to simulate the advection and diffusion of temperature and density fields. Finally, we show the rich details of hydrothermal fluids by comparing simulations with real fluids.