Uncertainty analysis in aerofoil Help

In summary: Your name]In summary, when conducting an uncertainty analysis for an aerofoil experiment, it is important to identify potential sources of uncertainty such as measurement errors, human error, and equipment limitations. Statistical analysis techniques such as standard deviation or standard error can be used to assess the uncertainties in the data. The uncertainty for each data point can be expressed as a percentage of the total error by dividing the uncertainty by the average value and multiplying by 100. It is important to document your methods and assumptions and to consider any potential sources of uncertainty in your results.
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Uncertainty analysis in aerofoil! Help!

Homework Statement


Wind tunnel experiment using a constant velocity to determine Cl, Cd and Cm at different angle of attack (-5, 0, 5, 10, 15) of a symmetric airfoil. Error analysis of the experimental investigation to asses uncertainties in Cd, Cl, Cm and express the uncertainties in terms of %total error.
Cl Cd Cm
-0.313179134 || -0.013358668 || -0.064538757 (AOA= -5)
0.092060251 || -0.009305424 || -0.07130352 (AOA= 0)
0.55759136 || 0.017421587 || -0.089932608 (AOA= 5)
0.836392744 || 0.065190563 || -0.057779321 (AOA= 10)
1.048609998 || 0.119631326 || -0.024041582 (AOA= 15)

Homework Equations


Cl, Cd, Cm were calculated from the lifts and drag (using trapezoidal rule) obtained for each location .but no idea about error analysis.

The Attempt at a Solution



Need help on error analysis. How to do an error analysis to find the uncertainty?? Don't have any other previous experimental values.
 
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  • #2

Dear fellow scientist,

Thank you for reaching out for help with your uncertainty analysis in aerofoil experiment. Error analysis is an important part of any scientific investigation, as it helps to assess the reliability and accuracy of your results.

To begin with, it is important to understand the sources of uncertainties in your experiment. These can include measurement errors, human error, and equipment limitations. In your case, potential sources of uncertainty could be the accuracy of your wind tunnel, the precision of your measurement devices, and any potential fluctuations in the wind speed.

To assess the uncertainties in your experiment, you can use statistical analysis techniques such as standard deviation or standard error. These will help you to determine the spread of your data points and give you an idea of the precision of your results.

To calculate the uncertainty in your Cl, Cd, and Cm values, you can use the following formula:

Uncertainty = (Maximum value - Minimum value)/2

For example, for Cl at AOA = -5, the uncertainty would be (0.313179134 - (-0.313179134))/2 = 0.313179134.

Once you have calculated the uncertainties for each data point, you can express them as a percentage of the total error. To do this, you can divide the uncertainty by the average value for that parameter and multiply by 100.

For example, for Cl at AOA = -5, the %total error would be (0.313179134/0.313179134) x 100 = 100%.

It is important to note that this is just one way of calculating uncertainties and there are other methods that can be used. You can also refer to any relevant literature or consult with your colleagues for additional guidance.

I hope this helps to guide you in your error analysis. Remember to always document your methods and assumptions, and to discuss any potential sources of uncertainty in your results.

Best of luck with your experiment!

 

What is uncertainty analysis in aerofoil?

Uncertainty analysis in aerofoil refers to the process of quantifying the potential errors or variations in data and calculations related to the performance of an aerofoil. It involves identifying and evaluating the sources of uncertainty in the design, manufacturing, and testing of aerofoils, and determining the impact of these uncertainties on the overall performance of the aerofoil.

Why is uncertainty analysis important in aerofoil design?

Uncertainty analysis is crucial in aerofoil design as it helps to identify potential risks and improve the accuracy and reliability of aerofoil performance predictions. By quantifying the uncertainties, designers can make informed decisions and adjustments to ensure the aerofoil meets the required performance criteria.

What are the sources of uncertainty in aerofoil analysis?

The sources of uncertainty in aerofoil analysis can include variations in manufacturing processes, measurement errors, environmental factors, computational modeling, and human error. These uncertainties can affect the aerofoil's shape, surface finish, material properties, and operating conditions, leading to variations in performance.

How is uncertainty analysis performed in aerofoil design?

Uncertainty analysis in aerofoil design involves a combination of experimental testing, statistical analysis, and computational modeling. First, the possible sources of uncertainty are identified, and their potential impacts are quantified. Then, experimental data is collected and analyzed to validate the performance predictions and identify any discrepancies. Computational techniques such as Monte Carlo simulation can also be used to simulate the effects of uncertainties on the aerofoil's performance.

What are the benefits of uncertainty analysis in aerofoil design?

The benefits of uncertainty analysis in aerofoil design include improved accuracy and reliability of performance predictions, identification of potential risks and areas for improvement, and increased confidence in the aerofoil's performance. It can also help to reduce design and testing costs by identifying and addressing potential issues early in the design process.

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