A second generation URANS approach for application to aerodynamic design and optimization in the automotive industry

In the U.S., transportation is responsible for approximately 70% of all petroleum consumption and is now the largest source of carbon emissions and air pollution. Aerodynamics is an important aspect for energy saving and emission reduction in the automotive industry. In the design stage, aerodynamic drag is minimized through optimization of the vehicle shape, and Computational Fluid Dynamics (CFD) has become an invaluable tool to support this process. In combination with advanced optimization methods, CFD promises to considerably reduce the carbon footprint of modern passenger and good transportation. However, its success is severely limited by the poor description of complex unsteady turbulence at a practicable computational cost. For the flow past a car, unsteady turbulent flow structures are generated in the separation off the windshield, the mirrors, the wheels, and in the wake of the car body.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Xu, Liangyu,Ph.D.Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Emilio Baglietto.

• Mechanical Engineering.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127734

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127734