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dc.contributor.author
Colombo, Estefanía
dc.contributor.author
Luna, Martín Francisco
dc.contributor.author
Martinez, Ernesto Carlos
dc.date.available
2017-08-15T15:11:33Z
dc.date.issued
2016-01
dc.identifier.citation
Colombo, Estefanía; Luna, Martín Francisco; Martinez, Ernesto Carlos; Probability-Based Design of Experiments for Batch Process Optimization with End-Point Specifications; American Chemical Society; Industrial & Engineering Chemical Research; 55; 5; 1-2016; 1254-1265
dc.identifier.issn
0888-5885
dc.identifier.uri
http://hdl.handle.net/11336/22450
dc.description.abstract
Consistently complying with end-point specifications, mainly end-use product properties, is a key issue to thecompetitiveness of batch processes. To maximize in some way the probability of observing successful runs, a series ofexperiments is specifically designed to pinpoint the smallest operating region that guarantees that end-point conditions can meettheir desired targets. On the basis of data-driven modeling of the underlying binomial probability of success, the proposedmethodology seeks to trade off improving parameter precision with experimenting in a reduced region where there is a highprobability of satisfying end-point specifications. Two case studies are used to demonstrate the efficacy of the probability-basedoptimal design of experiments to find optimal policies for runs involving stochastic binary outcomes. Run-to-run improvement ofthe success rate for the operating policy in the acetoacetylation of pyrrole with diketene is first discussed. Results obtained foremulsion polymerization of styrene are also presented to illustrate how end-use properties, such as the tensile strength and meltindex, can be maintained in their desired target regions by the proper choice of the operating policy.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Optimal Experimental Design
dc.subject
Process Optimization
dc.subject
End-Point Specifications
dc.subject.classification
Otras Ingeniería Química
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Probability-Based Design of Experiments for Batch Process Optimization with End-Point Specifications
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-08-04T15:35:42Z
dc.journal.volume
55
dc.journal.number
5
dc.journal.pagination
1254-1265
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Colombo, Estefanía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Luna, Martín Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Martinez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.journal.title
Industrial & Engineering Chemical Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/acs.iecr.5b01295
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/acs.iecr.5b01295
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