Dimensionless numbers play an important role in analysing fluid dynamics and heat and mass transfer problems. They provide a method by which complex phenomena can be characterised, often by way of a simple, single number comparison. This article provides a brief overview of the derivation and use of dimensionless numbers.

Definitions

Greek Characters:

Subscripts:

Introduction

Dimensionless numbers are scalar quantities commonly used in fluid mechanics and heat transfer analysis to study the relative strengths of inertial, viscous, thermal and mass transport forces in a system.

Dimensionless numbers are equal for dynamically similar systems; systems with the same geometry, and boundary conditions. This makes them a powerful tool for scaling operations from model to pilot and beyond.

For a list of dimensionless numbers and the formulae to calculate them, refer to our Index of Dimensionless Numbers .

In the subsequent sections a simple system is utilised to explore the dimensionless numbers through:

The example system is a small 1/5 scale pilot scale system consisting of a pipe and a gate value with water as the fluid. Dimensionless numbers will then be used to predict key parameters on a full sized system using a different fluid from results obtained from the pilot system.

Dimensional Analysis

We begin with dimensional analysis to understand the system and derive dimensionless groups. As it is a fluid dynamic problem, it can be described by Bernoulli’s equation the key variables are as follows:

This gives us the equations of exponents as follows:

Based on the above we determine that a = 0, b = -2 and c = -1 which substituted into the above equation results in our first scaling group:

Let’s assume the model introduced in the previous section is a 1/5th scale of our full scale pilot system and experimental trials with water reveal that for a given valve opening the velocity of the water was measured at 10 m/s with an associated pressure drop of 80 kPa.

What would the velocity and pressure drop be in the full scale pilot system if we substituted water for diesel? To determine this, first we would consider the relevant properties of each of the fluids:

The velocity ratio for the pilot and model systems and scaling ratio can then be used to calculate the volumetric flow rate in the pilot system.

Analytical and Empirical Relationships

One of the most common uses of dimensionless numbers for the practising engineer is in the calculation of system properties using analytical and empirical relationships. Returning to the example from the preceding sections, consider the calculation of the pressure drop in 10 metres of pipe in the pilot system if that pipe is new DN100 Sch 40 carbon steel pipe with an absolute roughness of 0.02 mm.

The internal diameter of DN100 Sch 40 pipe is 102.26 mm, and for fluid flow in a pipe is our characteristic length in the calculate the Reynolds number.

From empirical studies we know that a Reynolds number greater than 4000 indicates we are in the turbulent flow regime. Armed with this knowledge we can then calculate the friction factor using an appropriate equation for the turbulent regime such as the Serghides equation to obtain a dimensionless friction factor of 0.017. The pressure drop in the pipe is then calculated using the following equation:

In conclusion, dimensionless numbers reduce the number of variables that are required to describe a system and therefore reduce the amount of experimental data that must be collected in order to determine analytical and empirical relationships to describe complex physical phenomena and scale systems.

Further Reading

non dimensional analysis examples

Subscribe to our mailing list

Library homepage

selected template will load here

This action is not available.

Engineering LibreTexts

5.1: Dimensionless groups

Because dimensionless quantities are the only meaningful quantities, we can understand the world better by describing it in terms of dimensionless quantities. But we need to find them.

5.1.1 Finding dimensionless groups

To illustrate finding these dimensionless quantities, let’s try an example that uses familiar physics: When learning a new idea, it is helpful to try it on a familiar example. We’ll find a train’s inward acceleration as it moves on a curved track. The larger the acceleration, the more the track or the train needs to tilt so that the passengers do not feel uncomfortable and (if the track is not tilted enough) the train does not tip over

clipboard_edfbc813cbfee7181e41ebd68f26a1ff6.png

Our goal is the relation between the train’s acceleration a , its speed v , and the track’s radius of curvature r . In our state of knowledge now, the relation could be almost anything. Here are a few possibilities:

\[\frac{a+ v^{2}}{r} = \frac{v^{3}}{a}; \: \frac{r+a^{2}}{v}= \frac{a^{2}}{v + r}; \: \frac{v}{ra + v^{3}}= \frac{a+v}{r^{2}}.\]

Although those possibilities are bogus, among the vast sea of possible relations, one relation is correct.

To find the constraint that will shrink the sea to a few drops, first defocus our eyes and see all the choices as examples of the general form

clipboard_e09031d214e117d33ec41c1f173df73a9.png

Even though the blobs might be complicated functions, they must have identical dimensions. By dividing both sides by blob B, we get a simpler form:

clipboard_e9ea28a2119db80e6b135fe7e21a2e2ac.png

Now each side is dimensionless. Therefore, whatever the relation between a , v , and r , we can write it in dimensionless form.

The preceding process is not limited to this problem. In any valid equation, all the terms have identical dimensions. For example, here is the total energy in a spring–mass system:

\[E_{total} = \frac{1}{2} mv^{2} + \frac{1}{2} k x^{2}.\]

The kinetic-energy term ( mv 2 /2 ) and the potential-energy term ( kx 2 /2 ) have the same dimensions (of energy). The same process of dividing by one of the terms turns any equation into a dimensionless equation. As a result, any equation can be written in dimensionless form. Because the dimensionless forms are a small fraction of all possible forms, this restriction offers us a huge reduction in complexity.

To benefit from this reduction, we must compactly describe all such forms: Any dimensionless form can be built from dimensionless groups . A dimensionless group is the product of the quantities, each raised to a power, such that the product has no dimensions. In our example, where the quantities are a , v , and r , any dimensionless group G has the form

\[G \equiv a^{x}n^{y}r^{z},\]

where G has no dimensions and where the exponents x , y , and z are real numbers (possibly negative or zero).

Because any equation describing the world can be written in dimensionless form, and because any dimensionless form can be written using dimensionless groups, any equation describing the world can be written using dimensionless groups.

That news is welcome, but how do we find these groups?

The first step is to tabulate the quantities with their description and dimensions. By convention, capital letters are used to represent dimensions. For now, the possible dimensions are length (L), mass (M), and time (T). Then, for example, the dimensions of v are length per time or more compactly, LT -1 .

Then, by staring at the table, we find all possible dimensionless groups. A dimensionless group contains no length, mass, or time dimensions. For our example, let’s start by getting rid of the time dimension. It occurs in a as T −2 and in v as T −1 . Therefore, any dimensionless group must contain a / v 2 . This quotient has dimensions of L −1 . To make it dimensionless, multiply it by the only quantity that is purely a length, which is the radius r . The result, ar / v 2 , is a dimensionless group. In the a x v y r z form, it is a 1 v -2 r 1 .

Are there other dimensionless groups?

To get rid of time, we started with a / v 2 and then ended, inevitably, with the group ar / v 2 . To make another dimensionless group, we would have to choose another starting point. However, the only starting points that get rid of time are powers of a / v 2 —for example, v 2 / a or a 2 / v 4 —and those choices lead to the corresponding power of ar / v 2 . Therefore, any dimensionless group can be formed from ar / v 2 . Our three quantities a , r , and v produce exactly one independent dimensionless group.

As a result, any statement about the circular acceleration can be written using only ar / v 2 . All dimensionless statements using only ar / v 2 have the general form

\[\frac{ar}{v^{2}}=\textrm{dimensionless constant,}\]

because there are no other independent dimensionless groups to use on the right side.

Why can’t we use ar / v 2 on the right side?

We can, but it doesn’t create new possibilities. As an example, let’s try the following dimensionless form:

\[\frac{ar}{v^{2}} =3(\frac{ar}{v^{2}})-1.\]

Its solution is ar/v 2 =1/2, which is another example of our general form

\[\frac{ar}{v^{2}}=\textrm{dimensionless constant.}\]

But what if we use a more complicated function?

Let’s try one:

\[\frac{ar}{v^{2}}=(\frac{ar}{v^{2}})^{2}-1.\]

Its solutions are

\[\frac{ar}{v^{2}}=\left \{ \begin{array}{ll} \phi \\-1/\phi, \\ \end{array} \right. \]

where \(\phi\) is the golden ratio (1.618…). Deciding between these solutions would require additional information or requirements, such as the sign convention for the acceleration. Even so, each solution is another example of the general form

Using that form, which we cannot escape, the acceleration of the train is

\[a \sim \frac{v^{2}}{r}\]

where the ~ contains the (unknown) dimensionless constant. In this case, the dimensionless constant is 1. However, dimensional analysis, as this procedure is called, does not tell us its value—which would come from a calculus analysis or, approximately, from a lumping analysis (Section 6.3.4).

Using a ~ v 2 / r , we can now estimate the inward acceleration of the train going around a curve. Imagine a moderately high-speed train traveling at v ≈ 60 meters per second (approximately 220 kilometers or 135 miles per hour). At such speeds, railway engineers specify that the track’s radius of curvature be at least 2 or 3 kilometers. Using the smaller radius of curvature, the inward acceleration becomes

\[a \sim \frac{(60 m s^{-1})^{2}}{2 \times 10^{3}m} = 1.8 m s^{-2}.\]

Because no quantity with dimensions is large or small on its own, this acceleration by itself is meaningless. It acquires meaning in comparison with a relevant acceleration: the gravitational acceleration g . For this train, the dimensionless ratio a / g is approximately 0.18. This ratio is also tan θ , where θ is the train’s tilt that would make the passengers feel a net force perpendicular to the floor. With a / g ≈ 0.18, the comfortable tilt angle is approximately 10 ∘ . Indeed, tilting trains can tilt up to 8 ∘ . (This range is usually sufficient, as a full tilt is disconcerting: One would see a tilted ground but would still feel gravity acting as it normally does, along one’s body axis.)

clipboard_eaf967b30384ce8df67bf3bfa007c065f.png

Using our formula for circular acceleration, we can also estimate the maximum walking speed. In walking, one foot is always in contact with the ground. As a rough model of walking, the whole body, represented as a point mass at its center of mass (CM), pivots around the foot in contact with the ground--as if the body were an inverted pendulum. If you walk at speed v and have leg length l , then the resulting circular acceleration (the acceleration toward the foot) is v 2 /l . When you walk fast enough such that this acceleration is more than g , gravity cannot supply enough acceleration.

clipboard_e0f2017eb7a34b6f80a46c15244e2caea.png

This change happens when \(v \sim \sqrt{gl}\) Then your foot leaves the ground, and the walk turns into a run. Therefore, gait is determined by the dimensionless ratio v 2 / gl . This ratio, which also determines the speed of water waves (Problem 5.15) and of ships (Problem 5.64), is called the Froude number and abbreviated Fr .

Here are three ways to check whether our pendulum model of walking is reasonable. First, the resulting formula,

\[v_{max} \sim \sqrt{gl}\]

explains why tall people, with a longer leg length, generally walk faster than short people.

Second, it predicts a reasonable maximum walking speed. With a leg length of l ~ 1 meter, the limit is 3 meters per second or about 7 miles per hours:

\[v_{max} \sim \sqrt{10 m s^{-2} \times 1m} \approx 3 m s^{-1}.\]

This prediction is consistent with world-record racewalking speeds, where the back toe may not leave the ground until the front heel has touched the ground. The world records for 20-kilometer racewalking are 1h:24m:50s for women and 1h:17m:16s for men. The corresponding speeds are 3.9 and 4.3 meters per second.

The third test is based on gait. In a fascinating experiment, Rodger Kram and colleagues [31] reduced the effective gravity g . This reduction changed the speed of the walking–running transition, but the speed still satisfied v 2 / gl ~ 0.5. The universe cares only about dimensionless quantities!

Another moral of this introduction to dimensional analysis is that every dimensionless group is an abstraction. Here, the group ar/v 2 tells us that the universe cares about a, r, or v through the combination ar/v 2 . This relation is described by the tree diagram (the edge label of -2 is the exponent of v in v -2 ). Because there is only one independent dimensionless group, the universe cares only about ar/v 2 . Therefore, the universe cares about a, r, and v only through the combination ar/v 2 . This freedom not to worry about individual quantities simplifies our picture of the world.

clipboard_ed5f31e8f27caf1c4b7605ee3ac7cdf5e.png

5.1.2 Counting dimensionless groups

Finding the circular acceleration required finding all possible dimensionless groups and showing that all groups could be constructed from one group—say, ar / v 2 . That reasoning followed a chain of constraints: To get rid of the time, the dimensionless group had to contain the quotient a / v 2 ; to get rid of the length, the quotient needed to be multiplied by the correct power of r .

For each problem, do we have to construct a similar chain of reasoning in order to count the dimensionless groups?

Following the constraints is useful for finding dimensionless groups, but there is a shortcut for counting independent dimensionless groups. The number of independent groups is, roughly, the number of quantities minus the number of dimensions. A more precise statement will come later, but this version is enough to get us started.

Let’s test it using the acceleration example. There are three quantities: a , v , and r . There are two dimensions: length (L) and time (T). There should be, and there is, one independent dimensionless group.

Let's also test the shortcut on a familiar physics formula: W=mg , where W is an object's weight, m is its mass, and g is the gravitational acceleration. There are three quantities ( W, m, and g ) made from three dimensions (M, L, and T). Our shortcut predicts no dimensionless groups at all. However, W/mg is dimensionless, which refutes the prediction!

What went wrong?

Although the three quantities seem to contain three dimensions, the three dimensional combinations actually used—force (MLT −2 ), mass (M), and acceleration (LT −2 )—can be constructed from just two dimensions. For example, we can construct them from mass and acceleration.

But acceleration is not a fundamental dimension, so how can we use it?

The notion of fundamental dimensions is a human convention, part of our system of measurement. Dimensional analysis, however, is a mathematical process. It cares neither about the universe nor about our conventions for describing the universe. That lack of care may appear heartless and seem like a disadvantage. However, it means that dimensional analysis is independent of our arbitrary choices, giving it power and generality.

As far as dimensional analysis is concerned, we can choose any set of dimensions as our fundamental dimensions. The only requirement is that they suffice to describe the dimensions of our quantities. Here, mass and acceleration suffice, as the rewritten dimensions table shows: Using the notation [ a ] for "the dimensions of a," the dimensions of W are M x [ a ] and the dimensions of g are just [ a ].

In summary, the three quantities contain only two independent dimensions. Three quantities minus two independent dimensions produce one independent dimensionless group. Accordingly, the revised counting shortcut is

number of quantities

- number of independent dimensions

_____________________________________

number of independent dimensionless groups

This shortcut, known as the Buckingham Pi theorem [4], is named after Edgar Buckingham and his uppercase Pi (Π) notation for dimensionless groups. (It is also the rank–nullity theorem of linear algebra [42].)

Exercise \(\PageIndex{1}\): Bounding the number of independent dimensionelss groups

Why is the number of independent dimensionless groups never more than the number of quantities?

Exercise \(\PageIndex{2}\): Counting dimensionless groups

How many independent dimensionless groups do the following sets of quantities produce?

a. period T of a spring–mass system in a gravitational field: T , k (spring constant), m , x 0 (amplitude), and g .

b. impact speed v of a free-falling object: v , g , and h (initial drop height).

c. impact speed v of a downward-thrown free-falling object: v , g , h , and v 0 (launch velocity).

Exercise \(\PageIndex{3}\): Using angular frequency instead of speed

Redo the dimensional-analysis derivation of circular acceleration using the radius r and the angular frequency \(\omega\) as independent variables. Using a = v 2 / r , find the dimensionless constant in the general dimensionless form

\[\textrm{dimensionless group proportional to } a= \textrm{dimensionless constant}\]

Exercise \(\PageIndex{4}\): Impact speed of a dropped object

Use dimensional analysis to estimate the impact speed of a freely falling rock that is dropped from a height ℎ

Exercise \(\PageIndex{5}\): Speed of gravity waves on deep water

In this problem, you use dimensional analysis to find the speed of waves on the open ocean. These waves are the ones you would see from an airplane and are driven by gravity. Their speed could depend on gravity g , their angular frequency \(\omega\), and the density of water \(\rho\). Do the analysis as follows.

a. Explain why these quantities produce one independent dimensionless group.

b. What is the group proportional to v ?

c. With the further information that the dimensionless constant is 1, predict the speed of waves with a period of 17 seconds (you can measure the period by timing the interval between each wave’s arrival at the shore). This speed is also the speed of the winds that produced the waves. Is it a reasonable wind speed?

d. What would the dimensionless constant be if, in the table of quantities, angular frequency \(\omega\) is replaced by the period T ?

Exercise \(\PageIndex{6}\): Using period instead of speed

In finding a formula for circular acceleration (Section 5.1.1), our independent variables were the radius r and the speed v . Redo the dimensional-analysis derivation using the radius r and the period T as the independent variables.

a. Explain why there is still only one independent dimensionless group.

b. What is the independent dimensionless group proportional to a ?

c. What dimensionless constant is this group equal to?

Fluid Mechanics and Hydraulic Machines by S. C. Gupta

Get full access to Fluid Mechanics and Hydraulic Machines and 60K+ other titles, with a free 10-day trial of O'Reilly.

There are also live events, courses curated by job role, and more.

8.1 Introduction

We have learnt by now that any flow can be modelled in a mathematical form and that the different physical quantities governing the flow can be expressed in a functional form of other flow quantities. For example, pressure loss in laminar flow through a circular, smooth pipe depends on the flow velocity U , diameter D and length L of the pipe, and density ρ and viscosity μ of the fluid. That is, Δ p = f ( U, D, L, ρ, μ ). In this functional relation there are 6 variables; in general, there may be m variables in such a relation. It has been our endeavour to find out such relation. We have two ...

Get Fluid Mechanics and Hydraulic Machines now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Don’t leave empty-handed

Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.

It’s yours, free.

Cover of Software Architecture Patterns

Check it out now on O’Reilly

Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.

non dimensional analysis examples

IMAGES

  1. Effect of the non-dimensional parameters β\documentclass[12pt]{minimal}...

    non dimensional analysis examples

  2. Ranges of main non-dimensional parameters for each set of data

    non dimensional analysis examples

  3. Lecture 13 Part B

    non dimensional analysis examples

  4. (PDF) A Non-Dimensional Analysis of Cardiovascular Response to Cold Stress. Part 2. Development

    non dimensional analysis examples

  5. Non-dimensional parameters used in the simulations

    non dimensional analysis examples

  6. Dimensional Analysis

    non dimensional analysis examples

VIDEO

  1. Dimensional Analysis II

  2. 2A Dimensional Analysis

  3. Dimensional analysis1

  4. Dimensional Analysis

  5. 4. Units and dimensions

  6. Non Dimensionalization (Lesson 4)

COMMENTS

  1. What Is a DeepDive Analysis?

    DeepDive is a trained data analysis system developed by Stanford that allows developers to perform data analysis on a deeper level than other systems. DeepDive is targeted towards developers who are already familiar with Python and SQL, not...

  2. What Is the Definition of Preliminary Analysis?

    Preliminary analysis is defined as the initial process at the start of a project that determines whether the concept is viable. It looks at economic, market, industry and social trends that influence the success of business endeavors associ...

  3. What Is Comparative Analysis?

    Comparative analysis is a study that compares and contrasts two things: two life insurance policies, two sports figures, two presidents, etc.

  4. Lecture 14

    Non-dimensional analysis-2. ... Nondimensionalization of Equations, Physics Example | Bead in the Hoop, Buckingham Pi Theorem.

  5. Lecture 15

    Lecture 6 Part A - Introduction to cylindrical coordinate systems · Lec 8 : Dimensional Analysis-Pi Theorem · Dimensional Analysis: The Buckingham

  6. Nondimensionalization

    Measuring devices are practical examples of nondimensionalization occurring in everyday life. Measuring devices are calibrated relative to some known unit.

  7. topic t3: dimensional analysis

    Alternatively, dimensions may be deduced indirectly from any known formula involving that quantity. Example. Since Re ≡ / is known to be dimensionless

  8. Dimensionless Numbers and Dimensional Analysis

    The example system is a small 1/5 scale pilot scale system consisting of a pipe and a gate value with water as the fluid. Dimensionless numbers

  9. Dimensional Analysis

    Dimensional Analysis. • A process of formulating fluid mechanics problems in terms of non-dimensional variables and parameters. 1. Reduction in variables.

  10. Dimensional Analysis and Similarity

    Consider, for example, the design of an airplane wing. The full-size wing, or prototype, has some chord length, cp, operates at speed Vp

  11. 9.4.3: Examples for Dimensional Analysis

    The similarity of pumps is determined by comparing several dimensional numbers among them are Reynolds number, Euler number, Rossby number etc.

  12. 5.1: Dimensionless groups

    A dimensionless group contains no length, mass, or time dimensions. For our example, let's start by getting rid of the time dimension. It occurs

  13. 8. Non-dimensional Analysis

    CHAPTER 8 Non-dimensional Analysis OUTLINE Introduction Units and Dimensions Non-dimensional Groups Non-dimensional Analysis Similitude 8.1 Introduction We

  14. Non-Dimensional Numbers

    These factors are typically represented as non-dimensional numbers. For example, Mach Number for an experiment can determine whether the flow will have