Yuanqiang Tan

Prof. Yuanqiang Tan


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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1 February 2012 in Powder Technology
Verified
Journal Article
Open access
HZHao Zhang
Hao Zhang
YTYuanqiang Tan
Yuanqiang Tan
DYDongmin Yang
Dongmin Yang
F. Xavier TriasF. Xavier Trias
F. Xavier Trias
SJShengqiang Jiang
Shengqiang Jiang
AOAssensi Oliva
Assensi Oliva

1 August 2015 in International Journal of Heat and Fluid Flow
Verified
Journal Article
Open access
HZHao Zhang
Hao Zhang
F. Xavier TriasF. Xavier Trias
F. Xavier Trias
AGAndrey Gorobets
Andrey Gorobets
YTYuanqiang Tan
Yuanqiang Tan
AOAssensi Oliva
Assensi Oliva
Various fundamental studies based on a turbulent duct flow have gained popularity including heat transfer, magnetohydrodynamics as well as particle-laden transportation. An accurate prediction on the turbulent flow field is critical for these researches. However, the database of the mean flow and turbulence statistics is fairly insufficient due to the enormous cost of numerical simulation at high Reynolds number. This paper aims at providing available information by conducting several Direct Numerical Simulations (DNS) on turbulent duct flows at Re-tau = 300, 600, 900 and 1200. A quantitative comparison between current and previous DNS results was performed where a good agreement was achieved at Re-tau = 300. However, further comparisons of the present results with the previous DNS results at Re-tau = 600 obtained with much coarser meshes revealed some discrepancies which can be explained by the insufficient mesh resolution. At last, the mean flow and turbulent statistics at higher Re-tau was presented and the effect of Re-tau on the mean flow and flow dynamics was discussed.Peer ReviewedPostprint (author's final draft

1 June 2017 in Powder Technology
Verified
Journal Article
Closed access
XXXiangwu Xiao
Xiangwu Xiao
YTYuanqiang Tan
Yuanqiang Tan
HZHao Zhang
Hao Zhang
RDRong Deng
Rong Deng
SJShengqiang Jiang
Shengqiang Jiang

15 May 2020 in Materials
Verified
Journal Article
Open access
PDF file
JZJiangtao Zhang
Jiangtao Zhang
YTYuanqiang Tan
Yuanqiang Tan
TBTao Bao
Tao Bao
YXYangli Xu
Yangli Xu
XXXiangwu Xiao
Xiangwu Xiao
SJShengqiang Jiang
Shengqiang Jiang
The powder-bed with uniform and high density that determined by the spreading process parameters is the key factor for fabricating high performance parts in Additive Manufacturing (AM) process. In this work, Discrete Element Method (DEM) was deployed in order to simulate Al2O3 ceramic powder roller-spreading. The effects of roller-spreading parameters include translational velocity Vs, roller’s rotational speed ω, roller’s diameter D, and powder layer thickness H on powder-bed density were analyzed. The results show that the increased translational velocity of roller leads to poor powder-bed density. However, the larger roller’s diameter will improve powder-bed density. Moreover, the roller’s rotational speed has little effect on powder-bed density. Layer thickness is the most significant influencing factor on powder-bed density. When layer thickness is 50 μm, most of particles are pushed out of the build platform forming a lot of voids. However, when the layer thickness is greater than 150 μm, the powder-bed becomes more uniform and denser. This work can provide a reliable basis for roller-spreading parameters optimization.

1 March 2003 in Tribology International
Verified
Journal Article
Closed access
WHWeijiu Huang
Weijiu Huang
YTYuanqiang Tan
Yuanqiang Tan
BCBoshui Chen
Boshui Chen
JDJunxiu Dong
Junxiu Dong
XWXueye Wang
Xueye Wang

1 January 2011 in Computational Materials Science
Verified
Journal Article
Closed access
DYDongmin Yang
Dongmin Yang
JYJianqiao Ye
Jianqiao Ye
YTYuanqiang Tan
Yuanqiang Tan
YSYong Sheng
Yong Sheng