Publication | Closed Access
Experimental design for four mixture components with process variables
34
Citations
12
References
1989
Year
EngineeringIndustrial EngineeringOptimal Experimental DesignSocial SciencesMixture AnalysisSystems EngineeringModeling And SimulationExperimental DesignProcess OptimizationStatisticsProcess VariablesBlending Component ProportionsProcess DesignDesignProcess EngineeringMultiphase FlowIndustrial DesignMixture DistributionProcess ControlMultiscale Modeling
Abstract The experimental design to model the response of a mixture in four components in the presence of process variables is considered. Two different blocks of blends that are orthogonal for linear or quadratic blending are D-optimized. The two orthogonal blocks of blends are generalized and D-optimized in some cases (and possibly Doptimized in others) to deal with restrictions on the blending component proportions. The pair of orthogonal D-optimal blocks of blends can be used with an arbitrary number of process variables, and requires a reduced number of observations. Keywords: orthogonalD-optimal
| Year | Citations | |
|---|---|---|
Page 1
Page 1