The design of today?s gas turbine engines is heavily reliant on accurate computational fluid flow models. Creating prototype designs is far more expensive than modeling the design on a computer; however, current turbulence and transitional flow models are not always accurate. Several turbulence and transition models were validated at North Dakota State University by analyzing the flow through a low pressure turbine of a gas turbine engine. Experimental data for these low pressure turbines was provided by the University of North Dakota. Two separate airfoil geometries are analyzed in this study. The first geometry is a first stage flow vane, and the second geometry is an incidence angle tolerant turbine blade. Pressure and heat transfer data...
Wind turbines are a major source of renewable power generation in the U.S with a share of 4.7% in to...
Wind turbines are a major source of renewable power generation in the U.S with a share of 4.7% in to...
This thesis investigates the accuracy and scalability of RANS and LES approaches applied to externa...
The design of today?s gas turbine engines is heavily reliant on accurate computational fluid flow mo...
In order to improve the efficiency and reduce the emissions of aircraft engines, new combustor desig...
In order to improve the efficiency and reduce the emissions of aircraft engines, new combustor desig...
Accurate and reliable turbulence and transition models are needed for prediction heating loads in th...
Accurate and reliable turbulence and transition models are needed for prediction heating loads in th...
A numerical investigation for predicting the heat transfer effects of turbulence was conducted by ma...
A numerical investigation for predicting the heat transfer effects of turbulence was conducted by ma...
Predicting and measuring external heat transfer coefficients of hot gas path turbine components are ...
Predicting and measuring external heat transfer coefficients of hot gas path turbine components are ...
A program was conducted to develop a flow prediction method applicable to rocket turbopumps. The com...
Compressor design programs are becoming more reliant on computational tools to predict and optimize ...
In the interest of reducing airport congestion in the near future, researchers at NASA Glenn Researc...
Wind turbines are a major source of renewable power generation in the U.S with a share of 4.7% in to...
Wind turbines are a major source of renewable power generation in the U.S with a share of 4.7% in to...
This thesis investigates the accuracy and scalability of RANS and LES approaches applied to externa...
The design of today?s gas turbine engines is heavily reliant on accurate computational fluid flow mo...
In order to improve the efficiency and reduce the emissions of aircraft engines, new combustor desig...
In order to improve the efficiency and reduce the emissions of aircraft engines, new combustor desig...
Accurate and reliable turbulence and transition models are needed for prediction heating loads in th...
Accurate and reliable turbulence and transition models are needed for prediction heating loads in th...
A numerical investigation for predicting the heat transfer effects of turbulence was conducted by ma...
A numerical investigation for predicting the heat transfer effects of turbulence was conducted by ma...
Predicting and measuring external heat transfer coefficients of hot gas path turbine components are ...
Predicting and measuring external heat transfer coefficients of hot gas path turbine components are ...
A program was conducted to develop a flow prediction method applicable to rocket turbopumps. The com...
Compressor design programs are becoming more reliant on computational tools to predict and optimize ...
In the interest of reducing airport congestion in the near future, researchers at NASA Glenn Researc...
Wind turbines are a major source of renewable power generation in the U.S with a share of 4.7% in to...
Wind turbines are a major source of renewable power generation in the U.S with a share of 4.7% in to...
This thesis investigates the accuracy and scalability of RANS and LES approaches applied to externa...