Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel

Autores
Reinheimer, Maria Agustina; Scenna, Nicolas Jose; Mussati, Sergio Fabian
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The leaching stage in the manufacturing process of surimi gel requires a large amount of wash water contributing to a high operating cost. Therefore, the minimization of the wash water demand is essential for a low cost operation. In this paper, a complete mathematical model for the simultaneous optimization of the process configuration and the operating conditions of the continuous leaching process is presented. A superstructure formulation that embeds not only known process arrangements for the leaching process but also hybrid configurations is proposed. It is modeled as a nonlinear programming mathematical model. Given the design goal (extraction rate), the aim is to obtain the best process arrangement and operating conditions at minimum wash water demand. An interesting result obtained from the superstructure optimization is that, for a given extraction yield of soluble protein and total volume of leaching tank, the same minimum fresh water requirement is obtained with different leaching arrangements and with different distributions of flow rates. In addition, a sensitivity analysis was conducted in order to study the influence of the total volume of leaching tanks, number of leaching cycles, and extraction yield of soluble protein on the minimum fresh water consumption (countercurrent arrangement). As expected, for a given percentage of extraction from soluble proteins, the fresh water consumption significantly decreases, following an exponential decay law, as the total volume increases. A sensitivity analysis reveals that the minimum theoretical water consumption is obtained for four or higher number of washing cycles.
Fil: Reinheimer, Maria Agustina. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scenna, Nicolas Jose. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mussati, Sergio Fabian. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Materia
Optimal Design
Leaching Stage
Manufacturing Process of Surimi Gel
Mathematical Modelling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6953
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/6953
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi GelReinheimer, Maria AgustinaScenna, Nicolas JoseMussati, Sergio FabianOptimal DesignLeaching StageManufacturing Process of Surimi GelMathematical Modellinghttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2The leaching stage in the manufacturing process of surimi gel requires a large amount of wash water contributing to a high operating cost. Therefore, the minimization of the wash water demand is essential for a low cost operation. In this paper, a complete mathematical model for the simultaneous optimization of the process configuration and the operating conditions of the continuous leaching process is presented. A superstructure formulation that embeds not only known process arrangements for the leaching process but also hybrid configurations is proposed. It is modeled as a nonlinear programming mathematical model. Given the design goal (extraction rate), the aim is to obtain the best process arrangement and operating conditions at minimum wash water demand. An interesting result obtained from the superstructure optimization is that, for a given extraction yield of soluble protein and total volume of leaching tank, the same minimum fresh water requirement is obtained with different leaching arrangements and with different distributions of flow rates. In addition, a sensitivity analysis was conducted in order to study the influence of the total volume of leaching tanks, number of leaching cycles, and extraction yield of soluble protein on the minimum fresh water consumption (countercurrent arrangement). As expected, for a given percentage of extraction from soluble proteins, the fresh water consumption significantly decreases, following an exponential decay law, as the total volume increases. A sensitivity analysis reveals that the minimum theoretical water consumption is obtained for four or higher number of washing cycles.Fil: Reinheimer, Maria Agustina. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scenna, Nicolas Jose. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mussati, Sergio Fabian. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaAmerican Chemical Society2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6953Reinheimer, Maria Agustina; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel; American Chemical Society; Industrial & Engineering Chemical Research; 52; 36; 8-2013; 13034-130450888-5885enginfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1021/ie400675tinfo:eu-repo/semantics/altIdentifier/url/10.1021/ie400675tinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:44:15Zoai:ri.conicet.gov.ar:11336/6953instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 09:44:15.362CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
title Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
spellingShingle Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
Reinheimer, Maria Agustina
Optimal Design
Leaching Stage
Manufacturing Process of Surimi Gel
Mathematical Modelling
title_short Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
title_full Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
title_fullStr Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
title_full_unstemmed Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
title_sort Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel
dc.creator.none.fl_str_mv Reinheimer, Maria Agustina
Scenna, Nicolas Jose
Mussati, Sergio Fabian
author Reinheimer, Maria Agustina
author_facet Reinheimer, Maria Agustina
Scenna, Nicolas Jose
Mussati, Sergio Fabian
author_role author
author2 Scenna, Nicolas Jose
Mussati, Sergio Fabian
author2_role author
author
dc.subject.none.fl_str_mv Optimal Design
Leaching Stage
Manufacturing Process of Surimi Gel
Mathematical Modelling
topic Optimal Design
Leaching Stage
Manufacturing Process of Surimi Gel
Mathematical Modelling
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The leaching stage in the manufacturing process of surimi gel requires a large amount of wash water contributing to a high operating cost. Therefore, the minimization of the wash water demand is essential for a low cost operation. In this paper, a complete mathematical model for the simultaneous optimization of the process configuration and the operating conditions of the continuous leaching process is presented. A superstructure formulation that embeds not only known process arrangements for the leaching process but also hybrid configurations is proposed. It is modeled as a nonlinear programming mathematical model. Given the design goal (extraction rate), the aim is to obtain the best process arrangement and operating conditions at minimum wash water demand. An interesting result obtained from the superstructure optimization is that, for a given extraction yield of soluble protein and total volume of leaching tank, the same minimum fresh water requirement is obtained with different leaching arrangements and with different distributions of flow rates. In addition, a sensitivity analysis was conducted in order to study the influence of the total volume of leaching tanks, number of leaching cycles, and extraction yield of soluble protein on the minimum fresh water consumption (countercurrent arrangement). As expected, for a given percentage of extraction from soluble proteins, the fresh water consumption significantly decreases, following an exponential decay law, as the total volume increases. A sensitivity analysis reveals that the minimum theoretical water consumption is obtained for four or higher number of washing cycles.
Fil: Reinheimer, Maria Agustina. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scenna, Nicolas Jose. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mussati, Sergio Fabian. Universidad Tecnologica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
description The leaching stage in the manufacturing process of surimi gel requires a large amount of wash water contributing to a high operating cost. Therefore, the minimization of the wash water demand is essential for a low cost operation. In this paper, a complete mathematical model for the simultaneous optimization of the process configuration and the operating conditions of the continuous leaching process is presented. A superstructure formulation that embeds not only known process arrangements for the leaching process but also hybrid configurations is proposed. It is modeled as a nonlinear programming mathematical model. Given the design goal (extraction rate), the aim is to obtain the best process arrangement and operating conditions at minimum wash water demand. An interesting result obtained from the superstructure optimization is that, for a given extraction yield of soluble protein and total volume of leaching tank, the same minimum fresh water requirement is obtained with different leaching arrangements and with different distributions of flow rates. In addition, a sensitivity analysis was conducted in order to study the influence of the total volume of leaching tanks, number of leaching cycles, and extraction yield of soluble protein on the minimum fresh water consumption (countercurrent arrangement). As expected, for a given percentage of extraction from soluble proteins, the fresh water consumption significantly decreases, following an exponential decay law, as the total volume increases. A sensitivity analysis reveals that the minimum theoretical water consumption is obtained for four or higher number of washing cycles.
publishDate 2013
dc.date.none.fl_str_mv 2013-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/6953
Reinheimer, Maria Agustina; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel; American Chemical Society; Industrial & Engineering Chemical Research; 52; 36; 8-2013; 13034-13045
0888-5885
url http://hdl.handle.net/11336/6953
identifier_str_mv Reinheimer, Maria Agustina; Scenna, Nicolas Jose; Mussati, Sergio Fabian; Optimal Design of the Leaching Stage in the Manufacturing Process of Surimi Gel; American Chemical Society; Industrial & Engineering Chemical Research; 52; 36; 8-2013; 13034-13045
0888-5885
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1021/ie400675t
info:eu-repo/semantics/altIdentifier/url/10.1021/ie400675t
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1847977048460492800
score 13.084122

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