Dimensional Analysis: Combining 3 Variables

In summary, the conversation discusses choosing three variables out of four (Q, R, \mu, dp/dx) that cannot be combined into a dimensionless product. The method of using the dimensions and setting their power product equal to zero is a valid approach. However, inspection must also be used to ensure that the chosen variables make sense physically.
  • #1
Saladsamurai
3,020
7

Homework Statement



Hi. I have a function that contains 4 variables: Q, R, [itex]\mu[/itex], dp/dx

I wish to choose 3 of them, such that they cannot be combined into a dimensionless product.I have chosen (correctly) R, [itex]\mu[/itex], dp/dx and I would like to know if my method sounds correct:

If we know the dimensions: [R]=[L] [[itex]\mu[/itex]]=[ML-2T-2] and [dp/dx]=[ML-1T-1]and I know that in order for them to be dimensionless, their power product must equal zero:

[L]a[ML-1T-1]b[ML-2T-2]c=[MLT]0

or the system

a-b-2c=0
b+c=0
-b-2c=0

By inspection, this system can only be satisfied if a=0 but that does not make any sense since R is a physical quantity.

Hence I have reasoned that these 3 variable cannot form a non-dimensional parameter by themselves.Does this work? Thanks!
 
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  • #2
Ignore length real quick. [tex][MT^{ - 1} ]^a [MT^{ - 2} ]^b [/tex] can NEVER be dimensionless (except for a=b=0)
 
  • #3
Pengwuino said:
Ignore length real quick. [tex][MT^{ - 1} ]^a [MT^{ - 2} ]^b [/tex] can NEVER be dimensionless (except for a=b=0)

Okay cool!

Also, though longer and more tiresome, my method above works right? For the same reason.

I just want a general method just in case inspection is not that obvious.
 
  • #4
Yes, that method works.
 

FAQ: Dimensional Analysis: Combining 3 Variables

What is dimensional analysis and why is it important in science?

Dimensional analysis is a method used in science to analyze and convert units of measurement. It is important because it allows scientists to check the consistency and accuracy of their calculations and ensure that their results make sense.

How do you combine three variables using dimensional analysis?

To combine three variables using dimensional analysis, you must first identify the units for each variable and then use conversion factors to cancel out the unwanted units and leave behind the desired units. The remaining units will be the units for the combined variable.

What are some real-world applications of dimensional analysis?

Dimensional analysis is used in a variety of fields, including physics, chemistry, engineering, and medicine. It is commonly used in drug dosing calculations, recipe conversions, and unit conversions in everyday life. It is also used in scientific research and experiments to ensure accurate and consistent results.

Can dimensional analysis be used for more than just unit conversions?

Yes, dimensional analysis can also be used to check the validity of equations and to derive new equations. It can also be used to analyze the relationships between different physical quantities and to determine the units of unknown quantities in a given equation.

Are there any limitations to using dimensional analysis?

Dimensional analysis can only be used for physical quantities that are expressible in terms of fundamental units, such as length, mass, time, and temperature. It cannot be used for non-physical quantities, such as ratios and percentages. Additionally, it assumes that all variables are linearly related, which may not always be the case.

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