Song-Lin (Jason) Yang

Song-Lin (Jason) Yang

Contact

  • Professor, Mechanical Engineering—Engineering Mechanics
  • PhD, University of Florida

Biography

Dr. Yang’s research interest is in the area of computational fluid dynamics (CFD), both in developing it as a tool and in using it to study problems in fluid mechanics, heat transfer, and combustion. He is using the KIVA code along with the Reynolds-stress turbulence model for engine flow simulation with spray and combustion. In addition, Dr. Yang is also working on the modeling and numerical simulation of diesel particulate trap (DPF) performance during loading and regeneration and the diesel oxidation catalyst (DOC) converter code development.

Links of Interest

Areas of Expertise

  • Applied Computational Fluid Dynamics and Heat Transfer
  • Engine Flow Simulation
  • DPF and DOC Modeling and Simulation
  • Computational Aerodynamics

Research Interests

  • Computational fluid dynamics (CFD)
  • Modeling and numerical simulation of diesel particulate trap (DPF) performance during loading and regeneration
  • Diesel oxidation catalyst (DOC) converter code development
  • Lattice Boltzmann Method for Porous/Disordered Media