Evaluation and Comparison of Uncertainties on Fractional and Full Factorial Design: Case of a Plastic Pipe Extrusion Process
International Journal of Advanced Research in Engineering and Technology (IJARET), 11 (3), pp 249- 267, 2020
19 Pages Posted: 27 Apr 2020 Last revised: 30 Apr 2020
Date Written: 2020
Abstract
The design of experience DOE are very powerful tools in solving several problems of quality and optimization, for different types of industries. The objective of this work is the evaluation and comparison of uncertainty on fractional and full factorial design when optimizing and minimizing SDR variability of a plastic tube designed for irrigation and obtained by extrusion, by application of GUM and Monte Carlo methods. The comparison is undertaken with the hypothesis of equal experimental variances of responses or not, and with or without introducing uncertainty of the influences studied factors (extrusion parameters), in addition to possible correlations between the responses design. The results alert the experimenter to the effect of different types of uncertainties and correlations that may affect the variability of the response in order to advocate necessary adjustments.
Keywords: Uncertainty, Fractional and Full Factorial Design FFFD, Standard Diameter Ratio SDR, GUM, Monte Carlo MCM
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