fluid_mechanics
334 Chapter 7 ■ Dimensional Analysis, Similitude, and Modeling Δp D, ρ, μ– constant Δp V, ρ, μ– constant V D (a) (b) Δp Δp D, ρ, V– constant D, V, μ – constant (c) ρ (d) μ F I G U R E 7.1 Illustrative plots showing how the pressure drop in a pipe may be affected by several different factors. Dimensionless products are important and useful in the planning, execution, and interpretation of experiments. original list of variables, as described in Eq. 7.1, we can collect these into two nondimensional combinations of variables 1called dimensionless products or dimensionless groups2 so that D ¢p / rV 2 f a rVD m b Thus, instead of having to work with five variables, we now have only two. The necessary experiment would simply consist of varying the dimensionless product rVDm and determining the corresponding value of D ¢p /rV 2 . The results of the experiment could then be represented by a single, universal curve as is illustrated in Fig. 7.2. This curve would be valid for any combination of smooth-walled pipe and incompressible Newtonian fluid. To obtain this curve we could choose a pipe of convenient size and a fluid that is easy to work with. Note that we wouldn’t have to use different pipe sizes or even different fluids. It is clear that the experiment would be much simpler, easier to do, and less expensive 1which would certainly make an impression on your boss2. The basis for this simplification lies in a consideration of the dimensions of the variables involved. As was discussed in Chapter 1, a qualitative description of physical quantities can be given in terms of basic dimensions such as mass, M, length, L, and time, Alternatively, we could use force, F, L, and T as basic dimensions, since from Newton’s second law F MLT 2 T. 1 (7.2) _____ DΔp ρV 2 ____ ρVD μ F I G U R E 7.2 An illustrative plot of pressure drop data using dimensionless parameters. 1 As noted in Chapter 1, we will use T to represent the basic dimension of time, although T is also used for temperature in thermodynamic relationships 1such as the ideal gas law2.
1Recall from Chapter 1 that the notation is used to indicate dimensional equality.2 The dimensions of the variables in the pipe flow example are ¢p m FL 2 / FL 3 , D L, r FL 4 T 2 , T, and V LT 1 . 3Note that the pressure drop per unit length has the dimensions of A quick check of the dimensions of the two groups that appear in Eq. 7.2 shows that they are in fact dimensionless products; that is, and 7.2 Buckingham Pi Theorem D ¢p / rV 2 rVD m 1FL 2 2L FL 3 .4 L1FL 3 2 1FL 4 T 2 21LT 1 2 F 0 L 0 T 0 2 1FL4 T 2 21LT 1 21L2 1FL 2 T2 7.2 Buckingham Pi Theorem 335 F 0 L 0 T 0 Not only have we reduced the number of variables from five to two, but the new groups are dimensionless combinations of variables, which means that the results presented in the form of Fig. 7.2 will be independent of the system of units we choose to use. This type of analysis is called dimensional analysis, and the basis for its application to a wide variety of problems is found in the Buckingham pi theorem described in the following section. Dimensional analysis is based on the Buckingham pi theorem. A fundamental question we must answer is how many dimensionless products are required to replace the original list of variables? The answer to this question is supplied by the basic theorem of dimensional analysis that states the following: If an equation involving k variables is dimensionally homogeneous, it can be reduced to a relationship among k r independent dimensionless products, where r is the minimum number of reference dimensions required to describe the variables. The dimensionless products are frequently referred to as “pi terms,” and the theorem is called the Buckingham pi theorem. 2 Edgar Buckingham used the symbol ß to represent a dimensionless product, and this notation is commonly used. Although the pi theorem is a simple one, its proof is not so simple and we will not include it here. Many entire books have been devoted to the subject of similitude and dimensional analysis, and a number of these are listed at the end of this chapter 1Refs. 1–152. Students interested in pursuing the subject in more depth 1including the proof of the pi theorem2 can refer to one of these books. The pi theorem is based on the idea of dimensional homogeneity which was introduced in Chapter 1. Essentially we assume that for any physically meaningful equation involving k variables, such as u 1 f 1u 2 , u 3 , . . . , u k 2 the dimensions of the variable on the left side of the equal sign must be equal to the dimensions of any term that stands by itself on the right side of the equal sign. It then follows that we can rearrange the equation into a set of dimensionless products 1pi terms2 so that ß 1 f1ß 2 , ß 3 , . . . , ß kr 2 where f1ß 2 , ß 3 , . . . , ß kr 2 is a function of ß 2 through ß kr . The required number of pi terms is fewer than the number of original variables by r, where r is determined by the minimum number of reference dimensions required to describe the original list of variables. Usually the reference dimensions required to describe the variables will be the basic dimensions M, L, and T or F, L, and T. However, in some instances perhaps only two dimensions, such as L and T, are required, or maybe just one, such as L. Also, in a few rare cases 2 Although several early investigators, including Lord Rayleigh 11842–19192 in the nineteenth century, contributed to the development of dimensional analysis, Edgar Buckingham’s 11867–19402 name is usually associated with the basic theorem. He stimulated interest in the subject in the United States through his publications during the early part of the twentieth century. See, for example, E. Buckingham, On Physically Similar Systems: Illustrations of the Use of Dimensional Equations, Phys. Rev., 4 119142, 345–376.
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1Recall from Chapter 1 that the notation is used to indicate dimensional equality.2 The dimensions<br />
of the variables in the pipe flow example are ¢p m FL 2 / FL 3 , D L, r FL 4 T 2 , T,<br />
and V LT 1 . 3Note that the pressure drop per unit length has the dimensions of<br />
A quick check of the dimensions of the two groups that appear in Eq. 7.2 shows that they are in<br />
fact dimensionless products; that is,<br />
and<br />
7.2 Buckingham Pi Theorem<br />
D ¢p /<br />
rV 2<br />
rVD<br />
m<br />
<br />
1FL 2 2L FL 3 .4<br />
L1FL 3 2<br />
1FL 4 T 2 21LT 1 2 F 0 L 0 T 0 2<br />
1FL4 T 2 21LT 1 21L2<br />
1FL 2 T2<br />
7.2 Buckingham Pi Theorem 335<br />
F 0 L 0 T 0<br />
Not only have we reduced the number of variables from five to two, but the new groups are<br />
dimensionless combinations of variables, which means that the results presented in the form of<br />
Fig. 7.2 will be independent of the system of units we choose to use. This type of analysis is called<br />
dimensional analysis, and the basis for its application to a wide variety of problems is found in<br />
the Buckingham pi theorem described in the following section.<br />
Dimensional analysis<br />
is based on the<br />
Buckingham pi<br />
theorem.<br />
A fundamental question we must answer is how many dimensionless products are required to replace<br />
the original list of variables? The answer to this question is supplied by the basic theorem<br />
of dimensional analysis that states the following:<br />
If an equation involving k variables is dimensionally homogeneous, it can be reduced<br />
to a relationship among k r independent dimensionless products, where r is the<br />
minimum number of reference dimensions required to describe the variables.<br />
The dimensionless products are frequently referred to as “pi terms,” and the theorem is called the<br />
Buckingham pi theorem. 2 Edgar Buckingham used the symbol ß to represent a dimensionless<br />
product, and this notation is commonly used. Although the pi theorem is a simple one, its proof is<br />
not so simple and we will not include it here. Many entire books have been devoted to the subject<br />
of similitude and dimensional analysis, and a number of these are listed at the end of this chapter<br />
1Refs. 1–152. Students interested in pursuing the subject in more depth 1including the proof of the<br />
pi theorem2 can refer to one of these books.<br />
The pi theorem is based on the idea of dimensional homogeneity which was introduced in<br />
Chapter 1. Essentially we assume that for any physically meaningful equation involving k variables,<br />
such as<br />
u 1 f 1u 2 , u 3 , . . . , u k 2<br />
the dimensions of the variable on the left side of the equal sign must be equal to the dimensions<br />
of any term that stands by itself on the right side of the equal sign. It then follows that we can<br />
rearrange the equation into a set of dimensionless products 1pi terms2 so that<br />
ß 1 f1ß 2 , ß 3 , . . . , ß kr 2<br />
where f1ß 2 , ß 3 , . . . , ß kr 2 is a function of ß 2 through ß kr .<br />
The required number of pi terms is fewer than the number of original variables by r, where<br />
r is determined by the minimum number of reference dimensions required to describe the original<br />
list of variables. Usually the reference dimensions required to describe the variables will be<br />
the basic dimensions M, L, and T or F, L, and T. However, in some instances perhaps only two<br />
dimensions, such as L and T, are required, or maybe just one, such as L. Also, in a few rare cases<br />
2 Although several early investigators, including Lord Rayleigh 11842–19192 in the nineteenth century, contributed to the development of<br />
dimensional analysis, Edgar Buckingham’s 11867–19402 name is usually associated with the basic theorem. He stimulated interest in the subject<br />
in the United States through his publications during the early part of the twentieth century. See, for example, E. Buckingham, On Physically<br />
Similar Systems: Illustrations of the Use of Dimensional Equations, Phys. Rev., 4 119142, 345–376.