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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  
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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