DIMENSIONAL ANALYSIS – Is that all there is? W. J. Wilson Department of Physics and Engineering University of Central Oklahoma Edmond, Oklahoma 73034-5209.

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DIMENSIONAL ANALYSIS – Is that all there is? W. J. Wilson Department of Physics and Engineering University of Central Oklahoma Edmond, Oklahoma (The Secrets of Physics Revealed)

Outline A.What’s the secret of being a Scientist or an Engineer? B.What are Units and Dimensions anyway? C.What is Dimensional Analysis and why should I care? D.Why aren’t there any mice in the Polar Regions? E.Why was Gulliver driven out of Lillipute? F.What if Pythagorus had known Dimensional Analysis? G.But what do I really need to know about Dimensional Analysis so that I can pass the test? H.Can I get into trouble with Dimensional Analysis? The ballad of G.I. Taylor. I.But can it be used in the Lab ?

How to be a Scientist or Engineer The steps in understanding and/or control any physical phenomena is to 1.Identify the relevant physical variables. 2.Relate these variables using the known physical laws. 3.Solve the resulting equations. Secret #1: Usually not all of these are possible. Sometimes none are.

ALL IS NOT LOST BECAUSE OF Physical laws must be independent of arbitrarily chosen units of measure. Nature does not care if we measure lengths in centimeters or inches or light-years or … Check your units! All natural/physical relations must be dimensionally correct. Secret #2: Dimensional Analysis Rationale

Dimensional Analysis Dimensional Analysis refers to the physical nature of the quantity and the type of unit (Dimension) used to specify it. Distance has dimension L. Area has dimension L 2. Volume has dimension L 3. Time has dimension T. Speed has dimension L/T

Why are there no small animals in the polar regions? Heat Loss  Surface Area (L 2 ) Mass  Volume (L 3 ) Heat Loss/Mass  Area/Volume = L 2 / L 3 = L -1

Mouse (L = 5 cm) 1/L = 1/(0.05 m) = 20 m -1 Polar Bear (L = 2 m) 1/L = 1/(2 m) = 0.5 m : 0.5 or 40 : 1

Gulliver’s Travels: Dimensional Analysis Gulliver was 12x the Lilliputians How much should they feed him? 12x their food ration? A persons food needs are related to their mass (volume) – This depends on the cube of the linear dimension.

Gulliver is 12x taller than the Lilliputians, L G =12 L L Now V G  (L G ) 3 and V L  (L L ) 3, so V G / V L = (L G ) 3 / (L L ) 3 = (12 L L ) 3 / (L L ) 3 = 12 3 = 1728 Gulliver needs to be fed 1728 times the amount of food each day as the Lilliputians. Let L G and V G denote Gulliver’s linear and volume dimensions. Let L L and V L denote the Lilliputian’s linear and volume dimensions. This problem has direct relevance to drug dosages in humans

Pythagorean Theorem Area = F(  ) c 2 A 1 =F(  ) b 2 A 2 =F(  ) a 2 Area = A 1 +A 2 F(  ) c 2 = F(  ) a 2 +F(  ) b 2 c 2 = a 2 +b 2 c a b   A1A1 A2A2

Dimensions of Some Common Physical Quantities [x], Length – L [m], Mass – M [t], Time – T [v], Velocity – LT -1 [a], Acceleration – LT -2 [F], Force – MLT -2 [  ], Mass Density – ML -3 [P], Pressure – ML -1 T -2 [E], Energy – ML 2 T -2 [I], Electric Current – QT -1 [q], Electric Change – Q [E], Electric Field - MLQT -2 All are powers of the fundamental dimensions: [Any Physical Quantity] = M a L b T c Q d

Dimensional Analysis Theorems Dimensional Homogeneity Theorem: Any physical quantity is dimensionally a power law monomial - [Any Physical Quantity] = M a L b T c Q d Buckingham Pi Theorem: If a system has k physical quantities of relevance that depend on depend on r independent dimensions, then there are a total of k-r independent dimensionless products  1,  2, …,  k-r. The behavior of the system is describable by a dimensionless equation F(  1,  2, …,  k-r )=0

Exponent Method 1.List all k variables involved in the problem 2.Express each variables in terms of [M] [L] [T ] dimensions (r) 3.Determine the required number of dimensionless parameters (k – r) 4.Select a number of repeating variables = r (All dimensions must be included in this set and each repeating variable must be independent of the others.) 5.Form a dimensionless parameter  by multiplying one of the non-repeating variables by the product of the repeating variables, each raised to an unknown exponent. 6.Solved for the unknown exponents. 7.Repeat this process for each non-repeating variable 8.Express result as a relationship among the dimensionless parameters – F(  1,  2,  3, … ) = 0.

G. I. Taylor’s 1947 Analysis Published U.S. Atomic Bomb was 18 kiloton device

Nuclear Explosion Shock Wave The propagation of a nuclear explosion shock wave depends on: E, r, , and t  n = 4 No. of variables r = 3 No. of dimensions n – r = 1 No. of dimensionless parameters Select “repeating” variables: E, t, and  Combine these with the rest of the variables: r E  rt ML 2 T -2 ML -3 LT

 kg/m 3 R = (E/  ) 1/5 t 2/5 log R = 0.4 log t +0.2 log(E/  0.2 log(E/   E = 7.9x10 13 J = 19.8 kilotons TNT

Dimensional Analysis in the Lab Want to study pressure drop as function of velocity (V 1 ) and diameter (d o ) Carry out numerous experiments with different values of V 1 and d o and plot the data 5 parameters:  p, , V 1, d 1, d o 2 dimensionless parameter groups:  P/(  V 2 /2), (d 1 /d o ) p1p1 p0p0 V1V1 A1A1 V0V0 A0A0 Much easier to establish functional relations with 2 parameters, than 5 PP  V1V1 d1d1 d2d2 ML -1 T -2 ML -3 LT -1 LL

References 1.G. I. Barenblatt, Scaling, Self-Similarity, and Intemediate Asymptotics (Cambridge Press, 1996). 2.H. L. Langhaar, Dimensional Analysis and the Theory of Models (Wiley, 1951). 3.G. I. Taylor, “The Formation of a Blast Wave by a Very Intense Explosion. The Atomic Explosion of 1945”, Proc. Roy Soc. London A201, 159 (1950). 4.L. D. Landau and E.M. Lifshitz, Fluid Mechanics (Pergamon Press, 1959). Section §62. 5.G. W. Blumen and J. D. Cole, Similarity Methods for Differential Equations (Springer-Verlag, 1974). 6.E. Buckingham, “On Physically Similar Systems: Illustrations of the Use of Dimensional Equations,” Phys. Rev. 4, 345 (1921).