Rules of choosing repeating variable in Buckingham pi theorem

In summary, the conversation discusses the use of repeating variables in Pi Buckingham theorem, which involves selecting variables based on three properties: geometry, flow, and fluid properties. However, the conversation participants were unable to find proof of this approach online or in books. They also discuss some guidelines for selecting repeating variables, such as not picking dependent variables and ensuring all primary dimensions are represented. The conversation ends with a request for clarification and proof on the chosen variables based on the three properties.
  • #1
foo9008
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Homework Statement


i was told by my lecturer that when we choose the repeating variables in pi buckingham theorem , we can choose based on 3 property , which is geometry property which consists of (length , width and area) , then followed by flow property ( velocity , acceleartion, discharge) and lastly fluid property which consists of ( mass density , viscosity and surface tension) ,
but , i couldn't find the prove on the internet and book , I'm wondering is it correct ? can someone clarify?

Homework Equations

The Attempt at a Solution


I could only found this when choosing the variable in Pi Buckingham theorem...
  • The dependent variable should not be picked as a repeating variable. Otherwise, it will appear in more than one Pi, which will lead to an implicit expression in Step 6 below.
  • The repeating variables must not be able to form a Pi group all by themselves. Otherwise, the procedure in Step 5 will be fruitless.
  • Each of the primary dimensions in the problem must be represented. For example, if mass, length, and time appear in the original n variables, these three primary dimensions must also each appear at least once in the repeating variables.
  • Variables which are already dimensionless (such as angles) should not be picked. Such variables are already dimensionless Pi groups, and cannot contribute to formulating the remaining Pi groups.
  • Two variables with the same dimensions or with dimensions differing by only an exponent should never be picked. For example, if some area and some length are among the list of variables, the length should be chosen as a repeating variable. It would be incorrect to also select the area as a repeating variable, since its dimensions are simply the square of the length, and can contribute nothing additional to the formulation of the Pi groups.
  • Variables with very basic dimensions and/or variables that are "common" should be picked as repeating variables. This is perhaps the most difficult aspect of dimensional analysis, especially for the beginning student. After much practice, it becomes more or less obvious which variables to pick. For example, if there is a length, that length should be picked as a repeating variable since it is very basic and desirable in the Pi groups. Likewise, some velocity, mass, time, or density are also good choices. In most fluid flow problems, other flow properties like viscosity or surface tension should not be chosen if there are also more "basic" variables to choose from, such as a length, velocity, time, mass, or density. Why? Because it is usually not desirable to have viscosity or surface tension appear in each of the Pi groups.
 
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  • #2
i have not heard this theorem before. This is weird
 
  • #4
Tom.G said:
the links still doesn't prove we can choose the variables based on 3 property , which is geometry property which consists of (length , width and area) , then followed by flow property ( velocity , acceleartion, discharge) and lastly fluid property which consists of ( mass density , viscosity and surface tension) ,...
can you find me the prove on this ?
 
  • #5
bump
 
  • #6
I also want to know, can anyone reply?
 

Related to Rules of choosing repeating variable in Buckingham pi theorem

1. What is the Buckingham pi theorem?

The Buckingham pi theorem is a mathematical concept used in dimensional analysis to determine the number of independent variables that are needed to describe a specific physical phenomenon or problem. It states that for a given set of variables, the number of independent dimensionless parameters (known as pi terms) that can be formed is equal to the number of independent variables minus the number of fundamental dimensions.

2. Why is it important to choose the correct repeating variable in the Buckingham pi theorem?

Choosing the correct repeating variable is crucial in the Buckingham pi theorem because it allows for the formation of dimensionless parameters that can accurately represent the physical phenomenon being studied. If the repeating variable is not chosen correctly, the resulting pi terms may not be physically meaningful or may not capture the true behavior of the system.

3. How do you choose the repeating variable in the Buckingham pi theorem?

The repeating variable should be chosen based on the fundamental dimensions of the problem. It should be a variable that is present in all of the other variables and has the same units as the other variables. In some cases, it may be necessary to manipulate the original variables to find a suitable repeating variable.

4. Can the Buckingham pi theorem be used for any physical problem?

Yes, the Buckingham pi theorem is a universal principle that can be applied to any physical problem that involves quantities with different dimensions. It is commonly used in fields such as physics, engineering, and chemistry to simplify complex equations and identify the key variables that affect a system.

5. Are there any limitations to the Buckingham pi theorem?

While the Buckingham pi theorem is a powerful tool in dimensional analysis, it does have some limitations. It assumes that the variables and parameters being studied are continuous and that there is a linear relationship between them. It also cannot be applied to problems with cyclic or periodic behavior, as the repeating variable would not be constant throughout the cycle.

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