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• W334467384 abstract "EXECUTIVE SUMMARY This paper reviews a methodology for optimizing a radiation cure coating formulation. The approach employs a three component simplex-centroid experimental design to generate linear property response models. The key resultant property equation is then minimized subject to the customer's requirements on the remaining properties. This minimization is accomplished through the use of a linear programming technique. Keywords: Design of Experiments, Linear Optimization, Radiation Cure Coatings INTRODUCTION The Radiation Cure Coatings Group of Lord Corporation is primarily responsible for developing compliant coatings for the resilient flooring industry. Resilient flooring includes the synthetic tile and sheet vinyl common in many household kitchens and bathrooms. The concerns of manufacturers in the flooring industry deal primarily with the coating's cured film properties. The main properties they test on the cured coating are the stain resistance, the abrasion or scratch resistance, the flexibility (sheet vinyl only), and the percent curl (tile only). The final property measured on a resilient floor coating, viscosity, is measured before the coating is cured. Although floor companies are willing to warm a coating to lower viscosity to facilitate application, there is a limit to how viscous a coating can be and still be readily applied to the substrate. Earlier this year, the Radiation Cure Coatings Group developed a coating for sheet vinyl that had many desirable properties. The stain, abrasion resistance, and flexibility were all superior to the current coating used on this product. However, the viscosity of this product was approximately 5000 centipoises (cps), too high for easy application. A review of internal documents yielded a list of reactive diluents that could adequately reduce the coating's viscosity. Further investigation narrowed the list down to three monomers, SR499, SR454, and SR9003. In the past, researchers at Lord would study each of the aforementioned monomers one at a time in the viscous formulation. In this approach, the formulator would hold all concentrations constant while adding the monomer under investigation according to a predetermined arrangement. This method's success depends not upon statistical principles but upon the individual experimenter's experience, informed guesses, intuition, or luck. As part of Total Quality Management education at Lord, however, most researchers became educated in basic statistics and Design of Experiments (DOE). DOE, as taught in du Font's Quality Management and Technology seminars, is a planned approach to experimentation (E. I. du Pont de Nemours and Company, 1988). The experimental design is a plan for strategically and simultaneously changing the concentrations of the three diluent monomers to evaluate their joint effect on the measured responses, stain resistance, abrasion resistance, flexibility, and viscosity. Because the design is based on statistics, the greatest amount of meaningful data possible will be extracted from the least number of experimental runs. Moreover, DOE provides information about the interaction of the monomers and the way the resultant formulation works that is not generally obtainable through the traditional one-factor-at-a-time method. Choosing and implementing a proper experimental design has not presented a problem to product development chemists in the Radiation Cure Coatings Group. Instead, what is often a problem is maximizing or minimizing the key property while simultaneously constraining the other measured properties. Typically, Lord chemists complete the optimization by first developing a model for each measured response through regression analysis. The chemist then plots contours of the measured properties versus the monomer concentrations. Finally, contours for each measured property are superimposed to delineate the optimal area in the response region. …" @default.
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• W334467384 title "Optimizing a Three Component Simplex-Centroid Experimental Design*" @default.
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