Shuo Yang

Dr. Shuo Yang

Shenyang Institute of Engineering, Shenyang, Liaoning, China
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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19 December 2022 in Processes
Verified
Journal Article
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LXLin Xu
Lin Xu
QPQun-Wu Pei
Qun-Wu Pei
HZHan Zefeng
Han Zefeng
Shuo YangShuo Yang
Shuo Yang
JWJian-Yu Wang
Jian-Yu Wang
YYYantao Yao
Yantao Yao
For the purpose of studying compact strip production (CSP) funnel-shaped mold and flexible thin-slab rolling (FTSR) funnel-shaped mold, a three-dimensional (3D) multi-field coupling mathematical model was established to describe the electromagnetic braking (EMBr) continuous casting process. To investigate the metallurgical effect of EMBr in the CSP and FTSR funnel-shaped thin-slab molds, a Reynolds-averaged Navier–Stokes (RANS) turbulence model, together with an enthalpy–porosity approach, was established to numerically simulate the effect of ruler EMBr on the behaviors of melt flow, heat transfer, solidification, and inclusion movement in high-speed casting. The simulation results indicate that the application of ruler EMBr in the CSP and FTSR molds shows great potential to improve the surface temperature of molten steel and reduce the penetration depth of downward backflow. This contributes to the melting of the slag rim near the meniscus region and facilitates the floating removal of the inclusions in the molten pool. In addition, in comparison with the case of no EMBr, the parametric study shows that the braking effect of ruler EMBr with an electromagnetic parameter of 0.5 T can enhance the upward backflow in the two high-speed thin-slab molds. The enhanced upward backflow can successfully entrain the inclusions to the top of the mold and improve the activity of surface fluctuations to avoid the formation of the slag rim. For instance, for the ruler EMBr applied to the FTSR mold, the maximum amplitude of surface fluctuation and the floatation removal quantity of inclusions with a diameter of 100 μm are increased by 4.6 percent and 51 percent, respectively.

16 June 2016 in Scientific Reports
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Journal Article
Open access
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XQXianbo Qiu
Xianbo Qiu
LSLiuwei Song
Liuwei Song
Shuo YangShuo Yang
Shuo Yang
MGMeng Guo
Meng Guo
QYQuan Yuan
Quan Yuan
NXNingshao Xia
Ningshao Xia
A fast and low-cost method for HBV genotyping especially for genotypes A, B, C and D was developed and tested. A classifier was used to detect and analyze a one-step immunoassay lateral flow strip functionalized with genotype-specific monoclonal antibodies (mAbs) on multiple capture lines in the form of pattern recognition for point-of-care (POC) diagnostics. The fluorescent signals from the capture lines and the background of the strip were collected via multiple optical channels in parallel. A digital HBV genotyping model, whose inputs are the fluorescent signals and outputs are a group of genotype-specific digital binary codes (0/1), was developed based on the HBV genotyping strategy. Meanwhile, a companion decoding table was established to cover all possible pairing cases between the states of a group of genotype-specific digital binary codes and the HBV genotyping results. A logical analyzing module was constructed to process the detected signals in parallel without program control and its outputs were used to drive a set of LED indicators, which determine the HBV genotype. Comparing to the nucleic acid analysis to HBV viruses, much faster HBV genotyping with significantly lower cost can be obtained with the developed method.

1 October 2016 in International Journal of Heat and Fluid Flow
Verified
Journal Article
Closed access
Shuo YangShuo Yang
Shuo Yang
RLRuquan Liang
Ruquan Liang
JHJicheng He
Jicheng He

2 November 2013 in Microgravity Science and Technology
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Journal Article
Closed access
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RLRuquan Liang
Ruquan Liang
Shuo YangShuo Yang
Shuo Yang
JLJizhao Li
Jizhao Li

27 June 2017 in Journal of Heat Transfer
Verified
Journal Article
Closed access
PDF file
Shuo YangShuo Yang
Shuo Yang
RLRuquan Liang
Ruquan Liang
SXSong Xiao
Song Xiao
JHJicheng He
Jicheng He
SZShuo Zhang
Shuo Zhang

1 September 2019 in Experimental Thermal and Fluid Science
Verified
Journal Article
Closed access
RLRuquan Liang
Ruquan Liang
JZJinlin Zhou
Jinlin Zhou
Shuo YangShuo Yang
Shuo Yang
YZYuanyuan Zhang
Yuanyuan Zhang
JSJianhui Shi
Jianhui Shi
SXSong Xiao
Song Xiao