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Experimental Design for Optimizing a Mixture of Materials plus an Evaporating Solvent
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作者 Mauro Fernandi Diego Decastri +1 位作者 Matteo Bazzurri Sergio Clementi 《Applied Mathematics》 2015年第10期1740-1746,共7页
The paper illustrates a further new way of using the CARSO procedure for response surfaces analyses derived from experimental designs based on Double Circulant Matrices (DCMs). We report a case study regarding a desig... The paper illustrates a further new way of using the CARSO procedure for response surfaces analyses derived from experimental designs based on Double Circulant Matrices (DCMs). We report a case study regarding a design based on a mixture of three chemicals plus an evaporating solvent, in order to compare the relative reliability of designs based either on 3 only or on all 4 factors. We show that both designs give the same results, but the second is preferable because it represents the real situation at the beginning of the process, so that it is possible to know the required amount of solvent that should be used for each experiment. Obviously this applies to any number of factors using the correspondent DCM. 展开更多
关键词 CARSO Procedure Design Strategies circulant matrices (dcm) Optimization
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Mixture Optimization by the CARSO Procedure and DCM Strategies
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作者 Sergio Clementi Mauro Fernandi +1 位作者 Diego Decastri Matteo Bazzurri 《Applied Mathematics》 2014年第19期3026-3039,共14页
The paper illustrates a new way of using the CARSO procedure for response surfaces analyses derived from innovative experimental designs in multivariate spaces, based on Double Circulant Matrices (DCMs). We report a c... The paper illustrates a new way of using the CARSO procedure for response surfaces analyses derived from innovative experimental designs in multivariate spaces, based on Double Circulant Matrices (DCMs). We report a case study regarding a design based on a DCM for 4 variables. The final response surface model is obtained by the formerly developed CARSO method. 展开更多
关键词 CARSO PROCEDURE Design STRATEGIES circulant matrices (dcm) OPTIMIZATION
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