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Dive into the research topics where Dezhi Chen is active.

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Featured researches published by Dezhi Chen.


IEEE Transactions on Magnetics | 2015

A High Precision Particle-Moving Algorithm for Particle-in-Cell Simulation of Plasma

Xiaofei Li; Dong Li; Haikun Yue; Zhe Zhang; Kaifeng Liu; Mingwu Fan; Dezhi Chen

A new particle-moving algorithm for particle-in-cell simulation of plasma is developed based on the linear multistep method. The conventional and the new algorithms are investigated by numerical experiments, which are conducted in three typical fashions of the electron motions in electromagnetic fields, namely, cyclotron in homogeneous magnetic field, drift in E × B field, and motions in inhomogeneous magnetic field. The new algorithm not only improves the accuracy, but also relaxes the time step condition for the simulation, thus increasing the computation efficiency.


IEEE Transactions on Magnetics | 2001

A novel finite analytic element method for solving eddy current problems with moving conductors

Dezhi Chen; K. R. Shao; J. D. Lavers

A novel finite analytic element method (FAEM) is presented. The basic idea of the method is the incorporation of local analytic solution of the governing equation in the finite element method, A local analytical solution satisfying its nodal conditions is found in each element and is used for determining the shape functions. Then, a weighted residuals scheme is followed to yield the linear algebraic equations. The presented FAEM is applied to solve 1-D and 2-D eddy current problems with moving conductors. Because the problems analytical features have been considered, the solution in each element is approximated closely and the spurious oscillations which occur in the ordinary Galerkin solutions are avoided. High accuracy is obtained with no need of very fine meshes.


ieee international magnetics conference | 2006

A Subregion Expansion Method for Computational Electromagnetics

Dezhi Chen; K.R. Shao; X.W. Hu; D.X. Xie; Youguang Guo; J.D. Lavers

A new semi-analytical method, subregion expansion method (SEM), is presented for computational electromagnetics. In this scheme, the entire field domain is divided into subregions; in each subregion, a semi-analytical expansion is constructed to approximate the solution. Then all these subregions are jointed together at the fictitious boundaries, and all the boundary conditions are satisfied to determine the coefficients of the expansions. The 2D Laplace equation was investigated, and numerical examples are given to verify the validity of the method


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2017

Eddy current analysis and optimization of fast scanning magnet for a proton therapy system

Xu Liu; Bin Qin; Kaifeng Liu; Wei Chen; Zhikai Liang; Qushan Chen; Dezhi Chen; Mingwu Fan


Plasma Sources Science and Technology | 2018

Formation of stable inverse sheath in ion–ion plasma by strong negative ion emission

Zhe Zhang; Bang Wu; Shali Yang; Ya Zhang; Dezhi Chen; Mingwu Fan; Wei Jiang


Archive | 2018

Electromagnetic fields and antenna impedance analysis of an RF ion source at HUST

Peng Zhao; Dezhi Chen; Dong Li; Chen Zuo


Fusion Engineering and Design | 2018

RF simulation and improvements of an ion source test facility at HUST

Peng Zhao; Dong Li; Dezhi Chen; Chen Zuo; Xiaofei Li; Mingwu Fan


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2017

Plasma characterization of a test setup of RF-driven negative ion source by a Langmuir probe system

Peng Zhao; Dong Li; Dezhi Chen; Kaifeng Liu; Xiaofei Li; Hongyi Wang; Chen Zuo; Mingwu Fan


Fusion Engineering and Design | 2017

Thermo-mechanical design of the extraction grids for RF negative ion source at HUST

Chen Zuo; Kaifeng Liu; Dong Li; Zhiyuan Mei; Zhe Zhang; Dezhi Chen


Fusion Engineering and Design | 2017

Control system for RF-driven negative ion source experimental setup at HUST

Dong Li; Xiaomin Wang; Peng Zhao; Kaifeng Liu; Lige Zhang; Haikun Yue; Dezhi Chen; Chen Zuo

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Dong Li

Huazhong University of Science and Technology

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Kaifeng Liu

Huazhong University of Science and Technology

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Chen Zuo

Huazhong University of Science and Technology

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Mingwu Fan

Huazhong University of Science and Technology

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Xiaofei Li

Huazhong University of Science and Technology

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Zhe Zhang

Huazhong University of Science and Technology

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Haikun Yue

Huazhong University of Science and Technology

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Peng Zhao

Huazhong University of Science and Technology

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Chenre Wang

Huazhong University of Science and Technology

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Chi Zhou

Huazhong University of Science and Technology

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