Aerospace Engineering: Predicting Airfoil Drag in 2D Potential Flow

In summary: I will add a glossary of terms."...a glossary of terms will be added. Regarding your second point, a potential flow is governed by Laplace's equation, which is elliptic. That means its region of influence in the flow domain is infinite, so there isn't some finite ##\dot{m}## that interacts with the flow. If you wanted to get that physically correct, you'd have to choose an ##\dot{m}## and ##A_{\infty}## that correspond to a streamtube whose boundaries are located far enough from the surface that the effect has died down to a value suitably close to zero. Otherwise, as it stands now, your idea seems to me
  • #1
lordvon
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Hi,

My other post got deleted because it was flagged for spam, but it was just a link to a pdf. So I'm uploading the pdf instead.

I am working on a model to predict drag on airfoils in 2D potential flow (e.g. vortex panel methods). Currently, XFOIL uses a semi-empirical wake-momentum-thickness method to estimate drag, but I think there is a more elegant explanation for drag.

My physical model seems to show some promise but has one loose end: a parameter for which I am not sure how to estimate. Any critiques or other assistance would be greatly appreciated.
 

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  • #2
lordvon said:
My other post got deleted because it was flagged for spam, but it was just a link to a pdf. So I'm uploading the pdf instead.
Yes, that works better. Your previous thread start with the link led to a website where we had to sign in -- that usually raises red flags.

I've moved your thread to the ME / Aero forum for better replies. Is this paper for a senior project? Or are you intending on publishing it in a journal? If so, which journals were you considering submitting it to?
 
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  • #3
Thanks berkeman. If I can come up with a physical way to estimate the last parameter, and it compares well with experimental data, then I would like to submit it for publication (AIAA SciTech maybe). I am no longer a student or academic professional.
 
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  • #4
Your first step ought to be making sure you adequately describe all of your variables and what they mean. You haven't really defined ##\gamma## or ##C_N##, for example.

Second, a potential flow is governed by Laplace's equation, which is elliptic. That means its region of influence in the flow domain is infinite, so there isn't some finite ##\dot{m}## that interacts with the flow. If you wanted to get that physically correct, you'd have to choose an ##\dot{m}## and ##A_{\infty}## that correspond to a streamtube whose boundaries are located far enough from the surface that the effect has died down to a value suitably close to zero.

Otherwise, as it stands now, your idea seems to me to be based initially on sound physics, but then makes an arbitrary cut through the flow, rendering your ##A_{\infty}/A_w## term as an empirical tuning parameter rather than something based on first principles.

The other issue I have here is that solving this really ought to warrant at least a discussion of co-author credit, and that is a difficult conversation when no one has any idea with whom they are working.
 
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  • #5
First, thanks for going through the draft, @boneh3ad! My answers to your points:

1. I will add a glossary of terms.
2. Note that the equations deals with an averaged effect on the flow. Of course, velocity isn't V_infinity everywhere in the expression (m_dot * V_infinity).
3. I don't think it is merely an empirical tuning parameter; I believe it has physical meaning (important to remember that all of the developed equations are dealing with flow interactions in an averaged sense), and there might be a physical basis to estimate this parameter.
4. I would be happy to add anyone who helps with this paper as a co-author. I am not a professional academic in any way, so I think that would imply I don't have an incentive to hog all of the credit. I am assuming good faith from myself and others (e.g. by putting this draft out there I am not too afraid of someone stealing my ideas). If we ever get to the point of good results from a complete model, we can go into more personal introductions among prospective co-authors. Most importantly I want future aerodynamicists to be able to clearly answer the question "What is lift and drag?".
 
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  • #6
boneh3ad said:
Your first step ought to be making sure you adequately describe all of your variables and what they mean. You haven't really defined ##\gamma## or ##C_N##, for example.

Second, a potential flow is governed by Laplace's equation, which is elliptic. That means its region of influence in the flow domain is infinite, so there isn't some finite ##\dot{m}## that interacts with the flow. If you wanted to get that physically correct, you'd have to choose an ##\dot{m}## and ##A_{\infty}## that correspond to a streamtube whose boundaries are located far enough from the surface that the effect has died down to a value suitably close to zero.

Otherwise, as it stands now, your idea seems to me to be based initially on sound physics, but then makes an arbitrary cut through the flow, rendering your ##A_{\infty}/A_w## term as an empirical tuning parameter rather than something based on first principles.

The other issue I have here is that solving this really ought to warrant at least a discussion of co-author credit, and that is a difficult conversation when no one has any idea with whom they are working.

Regarding your first point, after looking at my draft again I actually did explain gamma and C_N inline. I guess you missed it.
 
  • #7
I didn't miss it. You defined ##\gamma##, for example, as the induced flow angle. You never made it clear what that physically means. Draw a diagram or something to make it more clear. Just calling it induced flow angle is not at all clear, because that sounds to me a lot like "deflection," which you have already defined as ##\phi##.
 
  • #8
boneh3ad said:
I didn't miss it. You defined ##\gamma##, for example, as the induced flow angle. You never made it clear what that physically means. Draw a diagram or something to make it more clear. Just calling it induced flow angle is not at all clear, because that sounds to me a lot like "deflection," which you have already defined as ##\phi##.

Are you familiar with lift-induced drag? https://en.wikipedia.org/wiki/Lift-induced_drag
I thought it would be straightforward for someone familiar with this to get it. Also, I explain what it is in context (it is half of the deflection angle far downstream, and what the airfoil sees), along with a visual diagram (Figure 1).
But it seems like you get it now, would you like to propose a more explicit explanation that makes sense for you?

Is C_N defined to your satisfaction?
 
  • #9
I've enhanced the description of gamma / induced flow angle (pdf attached). Please let me know what you think.
 

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1. What is aerospace engineering?

Aerospace engineering is a branch of engineering that focuses on the design, development, and maintenance of aircraft, spacecraft, and other related systems.

2. What is airfoil drag?

Airfoil drag is the force that resists the motion of an airfoil through the air. It is caused by the difference in pressure between the upper and lower surfaces of the airfoil, which creates a net force in the opposite direction of the airfoil's motion.

3. How is airfoil drag predicted in 2D potential flow?

In 2D potential flow, airfoil drag can be predicted by using mathematical equations and models that take into account the airfoil's shape, angle of attack, and the properties of the fluid it is moving through. This allows for the calculation of the pressure distribution and resulting drag force on the airfoil.

4. What factors affect airfoil drag?

The main factors that affect airfoil drag include the shape and size of the airfoil, the angle of attack, the speed of the airfoil, and the properties of the fluid it is moving through (such as density and viscosity).

5. Why is predicting airfoil drag important in aerospace engineering?

Predicting airfoil drag is important in aerospace engineering because it allows engineers to design more efficient and aerodynamic aircraft and spacecraft. By understanding and minimizing airfoil drag, engineers can improve the performance and fuel efficiency of these vehicles, ultimately leading to safer and more cost-effective flight.

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