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dc.contributor.authorNeumann, Gustavo Albertopt_BR
dc.contributor.authorFinkler, Tiago Fiorenzanopt_BR
dc.contributor.authorCardozo, Nilo Sérgio Medeirospt_BR
dc.contributor.authorSecchi, Argimiro Resendept_BR
dc.date.accessioned2011-08-04T06:00:54Zpt_BR
dc.date.issued2007pt_BR
dc.identifier.issn0104-6632pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/30508pt_BR
dc.description.abstractProduct development and advanced control applications require models with good predictive capability. However, in some cases it is not possible to obtain good quality phenomenological models due to the lack of data or the presence of important unmeasured effects. The use of empirical models requires less investment in modeling, but implies the need for larger amounts of experimental data to generate models with good predictive capability. In this work, nonlinear phenomenological and empirical models were compared with respect to their capability to predict the melt index and polymer yield of a low-density polyethylene production process consisting of two fluidized bed reactors connected in series. To adjust the phenomenological model, the optimization algorithms based on the flexible polyhedron method of Nelder and Mead showed the best efficiency. To adjust the empirical model, the PLS model was more appropriate for polymer yield, and the melt index needed more nonlinearity like the QPLS models. In the comparison between these two types of models better results were obtained for the empirical models.en
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofBrazilian journal of chemical engineering. São Paulo, SP. Vol. 24, no. 2 (Apr./Jun. 2007), p.267-275pt_BR
dc.rightsOpen Accessen
dc.subjectPolietileno de baixa densidadept_BR
dc.subjectEthylene polymerizationen
dc.subjectParameter estimationen
dc.subjectProcessos químicos : Modelagempt_BR
dc.subjectPolimerizaçãopt_BR
dc.subjectEmpirical modelen
dc.subjectPhenomenological modelen
dc.subjectLLDPEen
dc.titleParameter estimation for LLDPE gas-phase reactor modelspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000595702pt_BR
dc.type.originNacionalpt_BR


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