Dealing with Uncertainty in Polymer Manufacturing by Using Linear Regression Metrics and Sensitivity Analysis

BOJARSKI, AARÓN DAVID; ALVAREZ MEDINA, C. R; PUIGJANER, LUIS

Computer-aided chemical engineering

ACS publications

Año: 2009 vol. 26 p. 725 - 730

1570-7946

In the polymers industry, models are heavily parametrizised, and the effect of eachparameter on model outputs has not been extensively studied. A wide range of valuesfor most of model’s parameters can be found in literature [1], a thorough analysisregarding the model’s sensitivity to the parameters’ values is needed to find the set ofparameters that have the most impact in the output results and consequently deserve anextra effort and care during their estimation. In this work, a global sensibility analysis ofa styrene emulsion polymerization reactor model is carried out in order to determine theset of critical parameters.