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WATER JET CONFERENCE - Waterjet Technology Association

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The various parameters in these equations are: f; frequency, d: nozzle diameter,<br />

V; mean jet velocity, V; amplitude of modulation of the jet velocity. From Figure 4 of<br />

your paper: f = 300Hz, V = 330 ft/s, and elsewhere you cite: S/d ~1000 with d = 0.5 in.<br />

Thus, from (2) = S d ~0.04, and hence from (1), it would seem that your modulation, V/V<br />

is about 1 to 2 percent. Is this prediction (from Eqns. (1) and (2) consistent with your<br />

experimental observations for jet modulation? Do you agree that such an analytical<br />

approach should be useful in trying to understand these pulsed<br />

ANSWER: Andy, many important problems cannot be solved by completely theoretical<br />

or mathematical methods. Naturally, one way of attempting a problem for which no<br />

mathematical equation can be derived is empirical experimentation. The procedure is<br />

laborious, and difficulty is encountered in organizing or correlating the results into a<br />

useful relationship for calculations.<br />

Dimensional analysis is a method intermediate between formal mathematical<br />

development and a completely empirical study. Such an approach is based on the fact that<br />

if a theoretical equation does not exist among the variables controlling the phenomenon,<br />

the equation must be dimensionally homogeneous. As a result, many factors can be<br />

grouped into a smaller number of dimensionless groups of variables. A dimensional<br />

analysis cannot be made unless enough is known about the physics of the situation to<br />

decide what variables are important in the problem and what basic physical laws would<br />

be involved in a mathematical solution if one were possible.<br />

I am pleased equation (1) is useful to you. However, such an equation would<br />

predict a poor operating point for our Percussive Jet in most cases. Certain variables very<br />

important to the process do not appear in this equation. We operate over such a large<br />

range of variables that "optimum bunching" is redefined for each case. For example,<br />

sometimes surface tension is important but often it is of no concern.<br />

You might try to do a more formal mathematical analysis using a computer for<br />

solution. We feel we can process more variables, include more details, and generally<br />

arrive at a more fundamental solution than by using dimensionless groupings.<br />

44

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