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354 Chapter 7 ■ Dimensional Analysis, Similitude, and Modeling<br />

Π 1<br />

k – r = 3<br />

Π 3 = C 1 (constant)<br />

Π 3 = C 2<br />

Π 3 = C 3<br />

Π 3 = C 4<br />

Π<br />

F I G U R E 7.5 The graphical<br />

presentation of data for problems<br />

involving three pi terms.<br />

way. It may also be possible to determine a suitable empirical equation relating the three pi terms.<br />

However, as the number of pi terms continues to increase, corresponding to an increase in the general<br />

complexity of the problem of interest, both the graphical presentation and the determination<br />

of a suitable empirical equation become intractable. For these more complicated problems, it is often<br />

more feasible to use models to predict specific characteristics of the system rather than to try<br />

to develop general correlations.<br />

7.8 Modeling and Similitude<br />

V<br />

V m<br />

Prototype<br />

Model<br />

V7.8 Model<br />

airplane<br />

m<br />

<br />

Models are widely used in <strong>fluid</strong> <strong>mechanics</strong>. Major engineering projects involving structures, aircraft,<br />

ships, rivers, harbors, dams, air and water pollution, and so on, frequently involve the use of<br />

models. Although the term “model” is used in many different contexts, the “engineering model”<br />

generally conforms to the following definition. A model is a representation of a physical system<br />

that may be used to predict the behavior of the system in some desired respect. The physical system<br />

for which the predictions are to be made is called the prototype. Although mathematical or<br />

computer models may also conform to this definition, our interest will be in physical models, that<br />

is, models that resemble the prototype but are generally of a different size, may involve different<br />

<strong>fluid</strong>s, and often operate under different conditions 1pressures, velocities, etc.2. As shown by the<br />

figure in the margin, usually a model is smaller than the prototype. Therefore, it is more easily<br />

handled in the laboratory and less expensive to construct and operate than a large prototype (it<br />

should be noted that variables or pi terms without a subscript will refer to the prototype, whereas<br />

the subscript m will be used to designate the model variables or pi terms). Occasionally, if the prototype<br />

is very small, it may be advantageous to have a model that is larger than the prototype so<br />

that it can be more easily studied. For example, large models have been used to study the motion<br />

of red blood cells, which are approximately 8 mm in diameter. With the successful development of<br />

a valid model, it is possible to predict the behavior of the prototype under a certain set of conditions.<br />

We may also wish to examine a priori the effect of possible design changes that are proposed<br />

for a hydraulic structure or <strong>fluid</strong>-flow system. There is, of course, an inherent danger in the<br />

use of models in that predictions can be made that are in error and the error not detected until the<br />

prototype is found not to perform as predicted. It is, therefore, imperative that the model be properly<br />

designed and tested and that the results be interpreted correctly. In the following sections we<br />

will develop the procedures for designing models so that the model and prototype will behave in<br />

a similar fashion.<br />

7.8.1 Theory of Models<br />

The theory of models can be readily developed by using the principles of dimensional analysis. It<br />

has been shown that any given problem can be described in terms of a set of pi terms as<br />

ß 1 f1ß 2 , ß 3 , . . . , ß n 2<br />

(7.7)<br />

In formulating this relationship, only a knowledge of the general nature of the physical phenomenon,<br />

and the variables involved, is required. Specific values for variables 1size of components, <strong>fluid</strong><br />

properties, and so on2 are not needed to perform the dimensional analysis. Thus, Eq. 7.7 applies

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