Suppose you have a process for pressure treating utility poles with creosote. In the treating step of the process, you place air-dried poles inside a treatment chamber. The pressure in the chamber is increased and the chamber is flooded with hot creosote. The poles are left in the chamber until they have absorbed 12 pounds of creosote per cubic foot. You would like to experiment with different settings for the pressure, temperature of the creosote, and time in the chamber. Your goal is to get the creosote absorption as close to 12 pounds per cubic foot as possible, with minimal variation. Previous investigation suggests that the response surface for absorption exhibits curvature.
The chamber will withstand internal pressures up to 220 psi, although
the strain on equipment is pronounced at over 200 psi. The current operating
value is at 175 psi, so you feel comfortable with a range of values between
150 and 200. Current operating values for temperature and time are 210
degrees F and 5 hours, respectively. You feel that temperature cannot
vary by more than 10
A Box-Behnken design is a practical choice when you cannot run all of the factors at their high (or low) levels at the same time. Here, the high level for pressure is already at the limit of what the chamber can handle. If temperature were also at its high level, this increases the effective pressure, and running at these settings for a long period of time is not recommended. The Box-Behnken design will assure that no runs require all factors to be at their high settings simultaneously.
1 Choose Stat > DOE > Response Surface > Create Response Surface Design.
2 Under Type of Design, choose Box-Behnken.
3 From Number of factors, choose 3.
4 Click Designs. Click OK.
5 Click Factors. Complete the Name, Low, and High columns of the table as shown below:
|
Factors |
Names |
Low |
High |
|
A |
Pressure |
150 |
200 |
|
B |
Temperature |
200 |
220 |
|
C |
Time |
4 |
6 |
6 Click OK.
7 Click Results. Choose Summary table and design table. Click OK in each dialog box.
Session window output
Box-Behnken Design
Factors: 3 Replicates: 1 Base runs: 15 Total runs: 15 Base blocks: 1 Total blocks: 1
Center points: 3
Design Table (randomized)
Run Blk A B C 1 1 0 0 0 2 1 -1 1 0 3 1 1 -1 0 4 1 -1 -1 0 5 1 0 0 0 6 1 0 1 -1 7 1 1 0 -1 8 1 -1 0 -1 9 1 -1 0 1 10 1 1 1 0 11 1 1 0 1 12 1 0 -1 1 13 1 0 -1 -1 14 1 0 0 0 15 1 0 1 1 |
Because you chose to display the summary and design tables, Minitab
shows the experimental conditions or settings for each of the factors
for the design points.
When you perform the experiment, use the order that is shown to determine
the conditions for each run. For example, in the first run of your experiment,
you would set the pressure at 175 psi (0 = center), the temperature at
210
Minitab randomizes the design by default, so if you try to replicate this example your run order may not match the order shown.