Scaling in fluid mechanics and other physical discipline

In summary, by non-dimensionalizing your governing equations you can quantitatively measure physical laws regardless of the units you will eventually choose to use, and by scaling up your model to a full-size model you can more easily apply the results of your model to the real world.
  • #1
hanson
319
0
Hi all!
I always come across "scaling" in various subjects.
Like in Fluid mechanics, I am confused about why there is a need to choose some characteristic scales and non-dimensionalize the differential equation?

I am confused about this...can anyone expain me the rationale behind this 'scalin' process and the benefits one can get from it?

Many thanks!
 
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  • #2
hanson said:
Hi all!
I always come across "scaling" in various subjects.
Like in Fluid mechanics, I am confused about why there is a need to choose some characteristic scales and non-dimensionalize the differential equation?

I am confused about this...can anyone expain me the rationale behind this 'scalin' process and the benefits one can get from it?

Many thanks!

Two reasons (but there are more):

1) By non-dimensionalizing your governing equations you are quantifying physical laws independently of whatever units you will eventually choose to build some device or product. This makes the data "portable" to any units systems, and the truths behind the science independent of that choice.

2) Most importantly think of the term "scaling". By non-dimensionalizing you are making it eminently easier to "scale-up" an effect from a small, investigative model all the way up to a full-size model. This is most useful in aircraft and aerodynamics. By quantifying the aerodynamic characteristics in non-dimensional coefficients and stability derivatives, and with respect to non-dimensional flow parameters like Reynolds Number, the results you discover with a model in a wind tunnel are DIRECTLY applicable to the full-scale version of the aircraft.

All-in-all, the best way to describe the advantage is "portability of the results".

Rainman
 
  • #3
3) Scaling also enables you to neglect effects compared with some others in order to "localize" or "magnify" your equations about certain regions of your geometry. That's the aim of the perturbation theory and asymptotic analysis. Identifying disparities on time or length scales helps you to indentify small parameters of your problem and to do asymptotic expansions using asymptotic sequences based on such parameters. The DE you posted in the DE forum may be a non dimensionalized governing equation with [tex]\epsilon<<1[/tex] being a ratio of length scales which is just the perturbation parameter of your problem. In practical situations you will find [tex]\epsilon[/tex] to be the Reynolds Number (in viscous flow) or its inverse (in potential or boundary layer flow), the Mach Number (in compressible flow), the Strouhal Number (in unsteady flows), the Froude Number (in gravity waves), the Damköhler Number (in reactive flow), or also the thickness of the airfoil (in thin airfoil theory), the Knudsen Number (in rarified flows), a modified ratio of the adiabatic constant (in the Newton-Busseman approximation for hypersonic flows)...
All of them are non dimensional parameters that serve to us to work asymptotic expressions from slight departures of the [tex]\epsilon=0[/tex], which is called the leading order state.

To sum up, working out the "power" of each term of the N-S equations gives to us the needed insight to give preference to the important effects, and also gives to us the chance to see how the flow reacts under an small change of a small parameter (perturbation theory).

Now I remember some words that a math professor told us in our first math class in the university: "One of the things we will learn here will be the Taylor expansions, which by the way will be the most frequent mathematical instrument you will use in your future". I didn't understood that at that time, but now I realize that every time you neglect completely an effect in your governing equations, the solution you obtain is a Leading Order term of another longer solution which has into account small perturbations of the neglected effects (and God knows that those effects can have a CAPITAL importance in the physics even if they are present only in a very small quantity, as always happens in real world).
 
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1. What is scaling in fluid mechanics and other physical disciplines?

Scaling is the process of relating the behavior of a physical system at one size or time scale to its behavior at another size or time scale. It involves understanding how the fundamental laws and equations governing a physical system change as the scale of the system changes.

2. Why is scaling important in fluid mechanics and other physical disciplines?

Scaling is important because it allows us to make predictions and understand the behavior of a physical system at different scales. It helps us to understand how small changes in a system can affect its overall behavior and how different systems may behave similarly or differently based on their scale.

3. What are some common methods of scaling in fluid mechanics and other physical disciplines?

Some common methods of scaling include dimensional analysis, similarity solutions, and non-dimensionalization. Dimensional analysis involves identifying the key variables that affect a system and understanding how they change with scale. Similarity solutions involve finding relationships between physical quantities at different scales. Non-dimensionalization involves scaling equations to eliminate units and make them more generalizable.

4. How does scaling impact the design and testing of physical systems?

Scaling plays a crucial role in the design and testing of physical systems. By understanding how a system behaves at different scales, engineers and scientists can make predictions about how a system will perform in the real world. Scaling also allows for the testing of scaled-down versions of systems, which can save time and resources in the design process.

5. What are some challenges or limitations of scaling in fluid mechanics and other physical disciplines?

One of the main challenges of scaling is ensuring that the scaled-down version of a system accurately represents the behavior of the full-scale system. This can be difficult to achieve, especially in highly complex systems. Additionally, scaling may not always be applicable to all physical systems, as some may exhibit behaviors that are not easily predictable or scalable.

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