FLUENT - Turbine Blade Cooling

In summary, the conversation is about a person seeking help with setting the initial state in FLUENT for a turbine blade simulation. They are having trouble modeling the blade boundary and are looking for assistance in properly setting it up. The conversation also mentions the importance of accurately modeling the blade temperature distribution and the impact it can have on performance. The person is advised to solve for internal cooling and use heat transfer coefficients for accurate results.
  • #1
this_dude
1
0
hi guys,

i was hoping someone could possibly help me out with a problem i am having.

please take a look at the attached picture. i am modeling a turbine blade, trying to find how different configurations for internal cooling configuration affect the overall temperature distribution in the blade.

i am having trouble setting the initial state in FLUENT before running the simulation. the blade is a solid, the area around it is a fluid. basically, as the set-up is atm, around the blade, i have a velocity flow at a given temperature. the cooling holes are assigned negative heat flux values. I'm not entirely sure how to set the the blade boundary so it is modeled as 'real'. i currently have a heat flux value assigned to it, which does not represent what would really be happening.

could someone possibly assist me by telling me how it is i should be modeling the blade boundary, and how i can go about doing this within FLUENT.

any help is greatly appreciated.

many thanks in advance.
 

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  • #2
This is a conjugate heat transfer problem, Go to www.fluent.com and you can download tutorials for these kind of problems.

If you have set the outside blade as a "wall" you can specify heat transfer coefficient
 
  • #3
As a check of real life. Material specialists can determine within one degree what your blades actually see. This can be important in seeing if your thermocouples are set in the right place. It has a big impact on life expectancy and performance like thrust and fuel efficiency.
 
  • #4
In order to solve for the blade temperature distribution, you need to first solve for the internal cooling of blade, which requires a conjugate heat and mass transfer analysis. Another simplified approach is to simply impose the heat transfer coefficient for the internal convective cooling and cooling air temperature if you know the values.
 

1. What is FLUENT - Turbine Blade Cooling?

FLUENT - Turbine Blade Cooling is a computational fluid dynamics (CFD) software used to simulate the airflow and heat transfer in turbine blade cooling systems. It is widely used in the aerospace and power generation industries to optimize the design and performance of turbine blades.

2. How does FLUENT simulate the cooling of turbine blades?

FLUENT uses a combination of finite volume method and turbulence models to solve the Navier-Stokes equations and simulate the fluid flow and heat transfer in the cooling channels of turbine blades. It also incorporates advanced models for conjugate heat transfer and thermal radiation to accurately capture the complex physics involved in turbine blade cooling.

3. What are the key features of FLUENT - Turbine Blade Cooling?

FLUENT offers a wide range of features for turbine blade cooling simulations, including flexible geometry modeling, advanced turbulence models, conjugate heat transfer modeling, and thermal radiation modeling. It also has the capability to handle complex flow phenomena such as film cooling, impingement cooling, and convective heat transfer in cooling channels.

4. How accurate are the results obtained from FLUENT - Turbine Blade Cooling?

The accuracy of the results obtained from FLUENT - Turbine Blade Cooling depends on various factors, such as the quality of the input data, selection of appropriate turbulence models, and grid resolution. With careful setup and validation, FLUENT can provide accurate results that are in good agreement with experimental data.

5. Can FLUENT be used for design optimization of turbine blades?

Yes, FLUENT - Turbine Blade Cooling can be used for design optimization of turbine blades. It can simulate different cooling configurations and provide insights into the flow and heat transfer behavior. This can help in identifying areas of improvement and optimizing the design for better performance and efficiency.

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