People

Wei Zhang

Postdoctoral Fellow

Research Interests

My research interest is generally the computational fluid dynamics (CFD) and its engineering applications in fluid flow and heat transfer problems.  During my Ph.D. studies I focused on the pseudospectral methods and related algorithms developments for better convergence and extension to more complex physical domains. Right now, I am working on the turbulence simulation for flow over wind turbine components (mainly the blade), using the direct numerical simulation (DNS) approach. This work will be extended to more realistic physical circumstances in the future utilizing the large eddy simulation (LES) and detached eddy simulation (DES) methods.

Selected Publications

Zhang W, Huang Z, Zhang CH and Xi G, Numerical study on conjugate conduction-convection in a cubic enclosure submitted to time-periodic sidewall temperature. ASME Journal of Heat Transfer, 135: 022504 (1-10), 2013.
Zhang W, Huang Z, Zhang CH and Xi G, Conjugate wall conduction-fluid natural convection in a three dimensional inclined enclosure. Numerical Heat Transfer A, 61:122-141, 2012.
Zhang W, Xi G, Zhang CH and Huang Z, A high accuracy temporal-spatial pseudospectral method for time-periodic unsteady fluid flow and heat transfer problems. International Journal of Computational Fluid Dynamics, 25: 191-206, 2011.
Zhang W, Zhang CH and Xi G, Conjugate conduction-natural convection in an enclosure with time-periodic sidewall temperature and inclination. International Journal of Heat Fluid Flow, 32: 52-64, 2011.
Zhang W, Zhang CH and Xi G, Conjugate conduction-natural convection in an enclosure with time-periodic sidewall temperature and inclination. International Journal of Heat Fluid Flow, 32: 52-64, 2011.

Education

Sept. 2006-Oct. 2012 Ph.D. in Thermophysical Engineering, Xi’an Jiaotong University (XJTU), China
Sept. 2002-Jul. 2006
 B.E. in Thermophysical Engineering, Xi’an Jiaotong University (XJTU), China

KAUST Affiliations

Mechanical Engineering, Physical Sciences and Engineering Division