Below you will find the earlier parts of this article:
Mathematical model describing the influence of tested factor settings on humidity
In our example, we consider the effects of factors A, B, and C, as well as the A*B interaction, to be important. From these effects, we will construct an equation that will show the humidity level achieved for different settings of these three factors.
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The equation showing what the moisture of the powder at the outlet of the dryer will be, after taking into account significant factors, looks as follows:
To predict humidity, replace A, B, and C with the levels of these factors you want to predict. How does this work? Let’s calculate the humidity when:
A: Temperature 1 = 45°C
B: Temperature 2 = 37.5°C
C: Water Dose = 55%
We don’t enter actual values into the equation, but encode them in a range from -1 to 1, using the testing levels used in the DOE.
Factor A: Temperature 1, in the DOE, was tested at -1 = 30°C and +1 = 60°C. 45°C is halfway between -1 and +1, meaning it’s 0 on this scale.
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Factor B: temperature 2, was tested at -1 = 30° and +1 = 60o. 37.5° is 1/4 of the distance between -1 and +1, so it is -0.5 on this scale.
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Factor C: water dose, was tested at -1 = 40% and +1 = 60%, 55% is in 3/4 of the distance between -1 and +1, i.e. it is 0.5 on this scale.
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Therefore:
For:
- A = 0
- B= -0,5
- C= 0,5
- A*B = 0 * – 0,5 = 0
The ending of this story is in part four which you will find below:
