| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1180286 | Chemometrics and Intelligent Laboratory Systems | 2009 | 6 Pages |
Abstract
The research is aimed at optimization of a hybrid binder formulation that includes water solution of sodium silicate (water glass) and polyisocyanate. Optimization is performed with respect to ten output quality characteristics. Calibration modeling is done as a two-step procedure. At first, PCA is applied to the X block for variable reduction. Then nonlinear regression is used to predict a particular quality characteristic as a function of score vectors. The input variables reduction enables to choose an optimal binder formulation that meets the predefined quality requirements. The prediction has been confirmed by the verification experiments.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
I.A. Starovoitova, V.G. Khozin, L.A. Abdrakhmanova, O.Ye. Rodionova, A.L. Pomerantsev,