Mixture Experiments Design Including Interactions with Process Variables for Applications in Paint Preparation

Article Preview

Abstract:

Many experiments in research and development in the paint preparation involve mixture components. These are experiments with mixtures in which the experimental factors are the components of a mixture and the response variable depends on the relative proportion of each components, but not on the absolute amount of the mixture. Thus the mixture components cannot be varied independently. A common variation of the mixture experiment occurs when there are also one or more process factors that can be varied independently of each other and of the mixture ingredients, to bring about a mixture–process variable experiment. We discuss the design and analysis of these types of experiments, using flame-retardant coating formulation as an example. Goal of this paper is to encourage greater utilization of these techniques in paint preparation research and development.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 418-420)

Pages:

965-971

Citation:

Online since:

December 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Greg F. Piepel and Scott K. Cooley: Quality Technology & Quantitative Management Vol. 6(2009), p.255

Google Scholar

[2] H.L. Vandersall: J. Fire Flamm. Vol. 2 (1971) ,p.97

Google Scholar

[3] J.A. Rhys: Fire Mater Vol.4 (1980),p.154

Google Scholar

[4] William G. Cochran, Gertrude M. Cox:Experimental Designs, 2nd Edition (John Wiley & Sons, New York 2009).

Google Scholar

[5] John A. Cornell: TechnometricsVol. 15(1973), p.437

Google Scholar

[6] John A. Cornell: Technometrics Vol. 21(1979), p.95

Google Scholar

[7] John A. Cornell: Quality Engineering Vol. 23(2011), p.315

Google Scholar

[8] C. M. Anderson-Cook, H. B. Goldfarb, C. M. Borror, D.C. Montgomery, K. G. Canter and J. N. Twist:Pharmaceut. Statist.Vol.3(2004),p.247

DOI: 10.1002/pst.138

Google Scholar

[9] J.A. Cornell: Experiments with Mixtures: Designs,Models, and the Analysis of Mixture Data (John Wiley & Sons, New York 2002).

Google Scholar

[10] R.H. Myers, D.C. Montgomery: Response Surface Methodology: Process and Product Optimization Using Designed Experiments (John Wiley &Sons,New York, 2009).

Google Scholar

[11] Henry Scheffé: J. Roy. Stat. Soc. B Vol. 20 (1958), p.344

Google Scholar

[12] J. S. Murty and M. N. Das:The Annals of Mathematical StatisticsVol. 39(1968), p.1517

Google Scholar

[13] J.W. Gorman and J.E. Hinman:Technometrics Vol.4(1962),p.463

Google Scholar

[14] Henry Scheffé: J. Roy.Statist. Soc. Ser. B Vol.25(1963),p.235

Google Scholar

[15] H.B. Goldfarb, C.M. Borror, D.C. Montgomery and C.M. Anderson-Cook: Journal of Quality Technology Vol.36( 2004),p.109

Google Scholar

[16] H.B. Goldfarb, C.M. Anderson-Cook, C.M. Borror and D.C. Montgomery:Journal of Quality Technology Vol.36(2004),p.169

Google Scholar

[17] Design-Expert® 8.0 (Stat-Ease, Inc.) on http://www.statease.com

Google Scholar