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An Application of Fractional Factorial Experimental Designs

Summary: [This abstract is based on the author's abstract.]

Fractional factorial experimental design can reduce the number of experiments necessary for determining vital conditions that contribute to most process variability. A new process for extracting oil from peanuts is described. Five factors were suspected influences of the oil's solubility in the solvent and the overall yield of oil from the peanuts. With the use of unreplicated half-factorial design, only 16 experiments were needed to identify significant effects. When results were analyzed, it was found that only two of the five factors and one interaction had a significant effect on solubility. Additionally, only two factors affect oil yield. A first approximation of response surfaces for predicting solubility and yield were given by the magnitude of effects determined in the analysis.

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  • Topics: Design of Experiments
  • Keywords: Design of experiments (DOE), Fractional factorial design
  • Author: Kilgo, Mary B.
  • Journal: Quality Engineering