Guangxi Zhao
Xi'an Jiaotong University
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Featured researches published by Guangxi Zhao.
High Temperature Materials and Processes | 2016
Pei Wei; Zhengying Wei; Guangxi Zhao; Y. Bai; Chao Tan
Abstract Through numerical simulation, key issues concerning the plasma jet features as well as the sizes of nozzle for supersonic atmosphere plasma spraying (SAPS) were analyzed in this paper. Numerical results were compared with the experimental measurements and a good agreement has been achieved. Due to the effect of mechanical compression, the increasing sizes of r1, r2, r3 and r4 (r1, r2, r3 and r4 are the sizes of nozzle) lead to a decrease in temperature and velocity of plasma jet. But large size of r5 can increase the external temperature and velocity of plasma jet, which benefit particles accelerating at the far downstream region. A new nozzle was designed based on the simulation results. Compared to the temperature and velocity of plasma jet in the original nozzle, the maximum temperature and velocity of plasma jet in new structure are increased by about 9.8% and 44.5%, which is a benefit to the particles to reach a higher speed and surface temperature.
High Temperature Materials and Processes | 2016
Pei Wei; Zhengying Wei; Guangxi Zhao; Y. Bai; Chao Tan
Abstract In supersonic plasma spraying system (SAPS), heat transfer from arc plasma is characterized by several distinct features, such as transport of dissociation and ionization energy and of electrical charges in addition to mass transport. The thermodynamic and transport properties of plasma jet were influenced by several main parameters such as primary gas flow rate, the H2 vol.% and current intensity A. This paper first analyzes the effect of these parameters on the temperature and velocity of plasma jet theoretically. Further, the loading particles were melted and accelerated by plasma jet. Effects of several main parameters such as carrier gas flow rate, the H2 vol.%, the current intensity, the voltage and the spraying distance on temperature and velocity of in-flight particle were studied experimentally. The average maximum temperature and velocity of in-flight particle at any given parameters were systematically quantified. Optimal SAPS process parameters were given in this paper. In general, increasing the particles impacting velocity and surface temperature can improve the maximum spreading factor and decrease the coating porosity.
Applied Engineering in Agriculture | 2014
Zhengying Wei; Jun Du; Weijing Yuan; Guangxi Zhao
Abstract. Pressure-compensating (PC) emitters can maintain a constant discharge within a wide range of working pressures, thus they have extensive application prospect in mountain regions where the hydraulic pressure in irrigation systems often changes greatly. Although the rapid design method for non-PC emitters based on CFD is quite mature at present, common CFD method is not suitable for the design of PC emitters because a two-way coupling interaction exists between the fluid flow and elastic diaphragm. In order to improve the design accuracy and efficiency of PC emitters, the fluid-structure interaction (FSI) analysis was studied in this paper. In the FSI analysis procedure, adaptive mesh repair was adopted to refine the distorted fluid mesh. Incremental method and displacement-pressure finite element formula were used for the nonlinear analysis of the incompressible material. In this article, SST K-I‰ turbulence model was used for the fluid analysis, while contact analysis method and Neo-Hookean Mooney-Rivlin rubber material model were adopted for the structure analysis. The results showed that the discharge was adjusted by a very small deformation of the diaphragm to reach a steady state. At last, compared with the test results carried out using the test samples made by rapid prototyping, the analyzed values were a little larger while the maximum relative deviation was within 2.5%. This verified that PC emitter’s discharge could be predicted by FSI analysis accurately. In conclusion, FSI analysis is an efficient way to improve the design accuracy and reduce the test times for PC emitters.
Computational Materials Science | 2015
Pei Wei; Zhengying Wei; Guangxi Zhao; Jun Du; Y. Bai
Applied Physics A | 2016
Jun Du; Zhengying Wei; Xin Wang; Xuewei Fang; Guangxi Zhao
Applied Physics A | 2016
SuLi Li; Zhengying Wei; Jun Du; Guangxi Zhao; Xin Wang; Bingheng Lu
International Journal of Thermal Sciences | 2017
Jun Du; Xin Wang; Hao Bai; Guangxi Zhao; Yubin Zhang
Procedia Engineering | 2016
Guangxi Zhao; Zhengying Wei; Jun Du; Wei Liu; Xin Wang; Yunfei Yao
Composites Part B-engineering | 2016
Jun Ho Lee; H.K. Choi; S.S. Kim; Jae-Ung Cho; Guangxi Zhao; Chul Ho Cho; David Hui
Journal of Physics: Conference Series | 2018
Siyuan Xu; Zhengying Wei; Jun Du; Guangxi Zhao; Wei Liu