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Optimization of a product performance using mixture experiments

Author

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  • L.H.A. Dal Bello
  • A. F. C. Vieira

Abstract

This article presents a case study of a chemical compound acting as a subsystem of a delay mechanism for starting a rocket engine. The objective of this study was to investigate the proportions of mix components that enable a previously specified burning time. Thus, a linear regression model with normal responses was fitted, but later considered inadequate, as there was evidence that the response variance was not constant. Models fitted by the quasi-likelihood method were tried then. Through the developed model, it was possible to determine the proportion of each component to accomplish the process optimization. For the process optimization, besides considering a specific burning time, it was possible to consider the variance minimization for this time prediction as well.

Suggested Citation

  • L.H.A. Dal Bello & A. F. C. Vieira, 2010. "Optimization of a product performance using mixture experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 105-117.
    • Handle: RePEc:taf:japsta:v:37:y:2010:i:1:p:105-117
    DOI: 10.1080/02664760802647976
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