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Summer 2005 pg 2

Spreadsheet Tricks for Thermal Engineers : Data Analysis, continued

To use database functions, first set up the data in the correct format. Then use two new blank lines. The first will contain the filtering headings -- these are the same headings as you use for the data. You can either enter them by hand (tedious), copy the database headings line (less tedious), or reference the database heading cell in the same column ("=B7", for example). This third method is the handiest, because it will keep up with any changes you later might make to the headings -- spelling changes, for instance. The second new blank line, directly below the first, will contain the filtering criteria for the heading above it. You can use standard logicals here; one example might be ">9.5" entered below "fan voltage." Finally, in any convenient column (I use the same column as the result of interest), enter the database function; for example, "=DAVERAGE(database_range,field,criteria_range) will look at the data in database_range (using range names is handy; otherwise, use the F4 key to toggle until you get all dollar signs everywhere). It will take the average of all the "field" data (specify "field" either as a column number, or retype the heading in double quotes) that matches the criteria you've specified in a two-row criteria_range. The view below shows how this looks when the "Formulas" box is checked under Tools/Options/View.

=A6

=B6

<3

=DAVERAGE($A$6:$B$8,2,$A$1:$A$2)

   
   
   

label1

label2

2

5

3

7

and here it is with the normal view:

label1

label2

<3

5

   
   
   

label1

label2

2

5

3

7

There are several other database functions that work similarly. These are handy for looking at data from a designed experiment -- it's easy to evaluate data for different levels of factors or combinations of factors. In fact, the hardest part is getting the averages out into a form that allows easy presentation; I haven't found any easy way to do this without tediously writing a huge spreadsheet, because the database function really wants the column headings to be in a row immediately above the criteria. It seems crazy, but the least effort method seems to be writing the resulting averages down -- on paper, with a handheld writing implement (pen!), in a lab notebook -- and then retyping them. I suppose you could do the same thing by copying the row contents, and pasting-as-values in a summary sheet. If you haven't used paste as value, it's Edit/Paste Special with the Values box checked. I use the keystroke sequence Alt-E-S-V to do this. You can also customize your toolbar to include a button; it looks like a clipboard with the digits 12 on it, and lives in the Edit toolbar.

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Top concerns about implementing liquid cooling, according to CoolingZone Summit Short Course attendees in August 2005:

leaks

management resistance

cost

field service

corrosion

mold growth

reliability -- many single points of failure

supply chain -- doesn't have multiple selection of well-tested products

lack of standards -- part interchangeability, interfacing and mating parts

thermal interface -- mating parts, CTE issues

electrical conductivity of system

serviceability

filtration

ruggedness of heat exchanger

EE resistance (conductive fluid)

space

weight

portability (weight, size, power consumption)

design complexity

coolant limitations (few choices, drawbacks)

Don't see your concern here? Contact me to add it to the list! I'm sure there are more...

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