5.
Process Improvement
5.6. Case Studies 5.6.2. Sonoluminescent Light Intensity Case Study
|
|||
Background and Motivation |
Sonoluminescence is the process of turning sound energy into
light. An ultrasonic horn is used to resonate a bubble of air
in a medium, usually water. The bubble is ultrasonically compressed
and then collapses to light-emitting plasma.
In the general physics community, sonoluminescence studies are being carried out to characterize it, to understand it, and to uncover its practical uses. An unanswered question in the community is whether sonoluminescence may be used for cold fusion. NIST's motive for sonoluminescent investigations is to assess its suitability for the dissolution of physical samples, which is needed in the production of homogeneous Standard Reference Materials (SRMs). It is believed that maximal dissolution coincides with maximal energy and maximal light intensity. The ultimate motivation for striving for maximal dissolution is that this allows improved determination of alpha-and beta-emitting radionuclides in such samples. The objectives of the NIST experiment were to determine the important factors that affect sonoluminescent light intensity and to ascertain optimal settings of such factors that will predictably achieve high intensities. An original list of 49 factors was reduced, based on physics reasons, to the following seven factors: molarity (amount of solute), solute type, pH, gas type in the water, water depth, horn depth, and flask clamping. Time restrictions caused the experiment to be about one month, which in turn translated into an upper limit of roughly 20 runs. A 7-factor, 2-level fractional factorial design (Resolution IV) was constructed and run. The factor level settings are given below. Eva Wilcox and Ken Inn of the NIST Physics Laboratory conducted this experiment during 1999. Jim Filliben of the NIST Statistical Engineering Division performed the analysis of the experimental data. |
||
Software | The analyses used in this case study can be generated using both Dataplot code and R code. The reader can download the data as a text file. | ||
Response Variable, Factor Variables, and Factor- Level Settings |
This experiment utilizes the following response and factor variables.
|
||
Goal of the Experiment |
This case study demonstrates the analysis of a 27-3
fractional factorial experimental design. The goals of
this case study are:
|
Data Used in the Analysis |
The following are the data used for this analysis. This data set
is given in Yates order.
Y X1 X2 X3 X4 X5 X6 X7 Light Solute Gas Water Horn Flask Intensity Molarity type pH Type Depth Depth Clamping ------------------------------------------------------------------ 80.6 -1.0 -1.0 -1.0 -1.0 -1.0 -1.0 -1.0 66.1 1.0 -1.0 -1.0 -1.0 -1.0 1.0 1.0 59.1 -1.0 1.0 -1.0 -1.0 1.0 -1.0 1.0 68.9 1.0 1.0 -1.0 -1.0 1.0 1.0 -1.0 75.1 -1.0 -1.0 1.0 -1.0 1.0 1.0 1.0 373.8 1.0 -1.0 1.0 -1.0 1.0 -1.0 -1.0 66.8 -1.0 1.0 1.0 -1.0 -1.0 1.0 -1.0 79.6 1.0 1.0 1.0 -1.0 -1.0 -1.0 1.0 114.3 -1.0 -1.0 -1.0 1.0 1.0 1.0 -1.0 84.1 1.0 -1.0 -1.0 1.0 1.0 -1.0 1.0 68.4 -1.0 1.0 -1.0 1.0 -1.0 1.0 1.0 88.1 1.0 1.0 -1.0 1.0 -1.0 -1.0 -1.0 78.1 -1.0 -1.0 1.0 1.0 -1.0 -1.0 1.0 327.2 1.0 -1.0 1.0 1.0 -1.0 1.0 -1.0 77.6 -1.0 1.0 1.0 1.0 1.0 -1.0 -1.0 61.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 |