• United Kingdom

Accepting PhD Students

20002023
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Personal profile

Research Interests

I have been working on understanding multiscale fluid dynamics for many years. My research focuses are:

  • rarefied gas dynamics
  • interfacial dynamics
  • microfluidics: device optimal design and operation;
  • experimental and numerical study of microdroplet technology;
  • non-equilibrium fluid flows;
  • lattice Boltzmann method;
  • granualar flows

Personal Statement

Yonghao Zhang is Weir Professor of Thermodynamics and Fluid Mechanics and Director of James Weir Fluids Laboratory (http://www.jwfl.ac.uk). His ambition is to lead JWFL to advance our understanding of fundamental flow physics and chemistry, with the aim of utilising these research advances to develop new technologies with capabilities beyond any currently conceived.

His expertise is in multiscale fluid flows, which presents an important technological challenge, with long-term research and industrial implications. His group is among the first to develop lattice Boltzmann methods for simulating rarefied flows, and has also developed a fast spectral method for solving the Boltzmann equation, considering different molecular potential models. His other research activities centre on complex flow physics, including porous media flows, multiphase flows, droplet technologies and granular flows. His research has been funded by the EPSRC, EU FP7, STFC, Royal Society of Edinburgh, Royal Academy of Engineering, the Leverhulme Trust, and others. 

Expertise & Capabilities

My research has mainly been on understanding multi-scale and multi-physical flow physics through theoretical, computational and experimental studies. My group has developed a suite of computational models for gas non-equilibrium flows and multiphase flows. These models can be exploited for both fundamental research and engineering design simulations. We have recently been applying our models for pore scale study of unconventional gas flows in ultra-tight porous media, multiphase flows in porous media, droplet dynamics in microfluidic channels, and rarefied flow in space shuttle reentry. While we continue our effort to improve our models, we expand our work to erosion and corrosion of oil pipelines, fluids/surface interactions, and vacuum technologies.

Education/Academic qualification

Doctor of Philosophy, University of Aberdeen

Master of Engineering, East China University of Technology

Bachelor of Engineering, Jiangsu University of Technology

Keywords

  • Microfluidics
  • droplet technology
  • lattice Boltzmann method
  • kinetic theory
  • multiscale modelling
  • multiphase flows

Fingerprint Dive into the research topics where Yonghao Zhang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
gas flow Physics & Astronomy
Flow of gases Engineering & Materials Science
rarefied gases Physics & Astronomy
Knudsen flow Physics & Astronomy
Boltzmann equation Engineering & Materials Science
Gases Engineering & Materials Science
Lattice Boltzmann Mathematics
gases Physics & Astronomy

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Projects 2007 2023

Research Output 2000 2019

Ab initio calculation of rarefied flows of helium-neon mixture: classical vs quantum scatterings

Zhu, L., Wu, L., Zhang, Y. & Sharipov, F., 27 Sep 2019, In : International Journal of Heat and Mass Transfer. 145, 11 p., 118765.

Research output: Contribution to journalArticle

Neon
Helium
neon
rarefied gases
helium
2 Citations (Scopus)

A comparative study of the DSBGK and DVM methods for low-speed rarefied gas flows

Ho, M. T., Li, J., Wu, L., Reese, J. M. & Zhang, Y., 15 Mar 2019, In : Computers and Fluids. 181, p. 143-159 17 p.

Research output: Contribution to journalArticle

Flow of gases
Mach number
Program processors
Costs
Statistical methods

Thesis

Droplet behaviour in microfluidic devices

Author: England, P., 1 Jun 2011

Supervisor: Zhang, Y. (Supervisor) & Stickland, M. (Supervisor)

Student thesis: Doctoral Thesis

Intelligent design of microfluidic components for Newtonian and complex fluid systems

Author: Zografos, K., 1 Jun 2016

Supervisor: Oliveira, M. (Supervisor) & Zhang, Y. (Supervisor)

Student thesis: Doctoral Thesis