Soymilk plant simulation to predict the formula of a new Hypothetical Product
Ideal Patterns reactors alteration by real reactor patterns, for better accuracy was done using industrial software: Aspen Plus and Hysys Version 7.1 to represent the batch real mixer and soymilk production system. Fluid package for properties prediction was chosen from the software list. A feed ste...
- Autores:
-
Boanerges Boanerges, Iacobi
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/67542
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/67542
http://bdigital.unal.edu.co/68571/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Non-ideal Model Mixer
Soybean
Real Batch Mixer
Hypothetical Molecular formula.
Modelo no ideal de mezclador
Semilla de soya
Mezclador batch real
Formula molecular Hipotética
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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oai:repositorio.unal.edu.co:unal/67542 |
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UNACIONAL2 |
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Universidad Nacional de Colombia |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
title |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
spellingShingle |
Soymilk plant simulation to predict the formula of a new Hypothetical Product 62 Ingeniería y operaciones afines / Engineering Non-ideal Model Mixer Soybean Real Batch Mixer Hypothetical Molecular formula. Modelo no ideal de mezclador Semilla de soya Mezclador batch real Formula molecular Hipotética |
title_short |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
title_full |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
title_fullStr |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
title_full_unstemmed |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
title_sort |
Soymilk plant simulation to predict the formula of a new Hypothetical Product |
dc.creator.fl_str_mv |
Boanerges Boanerges, Iacobi |
dc.contributor.author.spa.fl_str_mv |
Boanerges Boanerges, Iacobi |
dc.subject.ddc.spa.fl_str_mv |
62 Ingeniería y operaciones afines / Engineering |
topic |
62 Ingeniería y operaciones afines / Engineering Non-ideal Model Mixer Soybean Real Batch Mixer Hypothetical Molecular formula. Modelo no ideal de mezclador Semilla de soya Mezclador batch real Formula molecular Hipotética |
dc.subject.proposal.spa.fl_str_mv |
Non-ideal Model Mixer Soybean Real Batch Mixer Hypothetical Molecular formula. Modelo no ideal de mezclador Semilla de soya Mezclador batch real Formula molecular Hipotética |
description |
Ideal Patterns reactors alteration by real reactor patterns, for better accuracy was done using industrial software: Aspen Plus and Hysys Version 7.1 to represent the batch real mixer and soymilk production system. Fluid package for properties prediction was chosen from the software list. A feed steam of 41,67 Kg/h (Soybean) was taken; mass fractions were given by element since the Soybean has a wide blend of substances which cannot be described as a unique compound formula. The elements were C, N, H, O, S, Na, K, Mg, Ca, Fe, P, and Cu. Final flow of 8,333 Kg/h was used to achieve the objective of this study: the elemental analysis method for the hypothetical new product prediction (based only in presence of Amino-acids and other macro and multiple substances). The macromolecules described here are the onset for new specific soymilk compounds such as the concluded on this study. Fulminic Acid Family compound and the protein analysis may correspond to new proteins which are not well-known such as the ones found in studies by the Hospital de Rhode Island in 2014. Presence of Fe and Cu in soybean was ascribed to the micronutrients that could be present in the soil of crop cultivation and in soybeans by absorption. |
publishDate |
2018 |
dc.date.issued.spa.fl_str_mv |
2018-01-01 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-03T04:30:07Z |
dc.date.available.spa.fl_str_mv |
2019-07-03T04:30:07Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN: 2248-8723 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/67542 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/68571/ |
identifier_str_mv |
ISSN: 2248-8723 |
url |
https://repositorio.unal.edu.co/handle/unal/67542 http://bdigital.unal.edu.co/68571/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/ingeinv/article/view/63781 |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación Ingeniería e Investigación |
dc.relation.references.spa.fl_str_mv |
Boanerges Boanerges, Iacobi (2018) Soymilk plant simulation to predict the formula of a new Hypothetical Product. Ingeniería e Investigación, 38 (1). pp. 46-51. ISSN 2248-8723 |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería |
institution |
Universidad Nacional de Colombia |
bitstream.url.fl_str_mv |
https://repositorio.unal.edu.co/bitstream/unal/67542/1/63781-380215-1-PB.pdf https://repositorio.unal.edu.co/bitstream/unal/67542/2/63781-380215-1-PB.pdf.jpg |
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Repositorio Institucional Universidad Nacional de Colombia |
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1814089210138722304 |
spelling |
Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Boanerges Boanerges, Iacobi2e33c842-5f47-4577-b026-6961f3c46f433002019-07-03T04:30:07Z2019-07-03T04:30:07Z2018-01-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67542http://bdigital.unal.edu.co/68571/Ideal Patterns reactors alteration by real reactor patterns, for better accuracy was done using industrial software: Aspen Plus and Hysys Version 7.1 to represent the batch real mixer and soymilk production system. Fluid package for properties prediction was chosen from the software list. A feed steam of 41,67 Kg/h (Soybean) was taken; mass fractions were given by element since the Soybean has a wide blend of substances which cannot be described as a unique compound formula. The elements were C, N, H, O, S, Na, K, Mg, Ca, Fe, P, and Cu. Final flow of 8,333 Kg/h was used to achieve the objective of this study: the elemental analysis method for the hypothetical new product prediction (based only in presence of Amino-acids and other macro and multiple substances). The macromolecules described here are the onset for new specific soymilk compounds such as the concluded on this study. Fulminic Acid Family compound and the protein analysis may correspond to new proteins which are not well-known such as the ones found in studies by the Hospital de Rhode Island in 2014. Presence of Fe and Cu in soybean was ascribed to the micronutrients that could be present in the soil of crop cultivation and in soybeans by absorption.La alteración de modelos de reactores ideales por modelos reales para mayor precisión fue hecha usando un software industrial: Aspen Hysys Versión 7.1 para representar el mezclador batch real y el sistema de producción de leche de soya. El paquete termodinámico de fluidos fue escogido de una de las listas del software. Una corriente de alimentación de 41,67 Kg/h (Soya) fue tomada; las composiciones en fracciones másicas fueron dadas por elemento puesto que las semillas de soya tienen una amplia mezcla de sustancias las cuales no pueden ser descritas como una formula molecular única y sencilla. Los elementos fueron: C, N, H, O, S, Na, K, Mg, Ca, Fe, P, y Cu. El flujo Final de 8,333 Kg/h fue usado para el objetivo de este estudio: El método de análisis elemental para la predicción de un Nuevo posible producto en la composición de la leche de soya (basado solamente en la presencia de amino ácido, y otras macro y múltiples substancias). Las macromoléculas descritas aquí son el inicio para nuevos y específicos componentes de la leche de soya tales como los concluidos en éste estudio. Componente de la familia del ácido fulmínico y el análisis de proteína puede corresponder a nuevas proteínas las cuales no son bien conocidas como la encontrada en los estudios por el hospital de Rhode Island en 2014. La Presencia de Fe y Cu en las semillas de soya fueron atribuidas a los micronutrientes presentes por absorción del suelo del cultivo.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/63781Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónBoanerges Boanerges, Iacobi (2018) Soymilk plant simulation to predict the formula of a new Hypothetical Product. Ingeniería e Investigación, 38 (1). pp. 46-51. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringNon-ideal Model MixerSoybeanReal Batch MixerHypothetical Molecular formula.Modelo no ideal de mezcladorSemilla de soyaMezclador batch realFormula molecular HipotéticaSoymilk plant simulation to predict the formula of a new Hypothetical ProductArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL63781-380215-1-PB.pdfapplication/pdf723900https://repositorio.unal.edu.co/bitstream/unal/67542/1/63781-380215-1-PB.pdf24b0fbc23f7177922e4c4926134ffcf9MD51THUMBNAIL63781-380215-1-PB.pdf.jpg63781-380215-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8606https://repositorio.unal.edu.co/bitstream/unal/67542/2/63781-380215-1-PB.pdf.jpg436a5bbbfe27101514b198ec03403b0aMD52unal/67542oai:repositorio.unal.edu.co:unal/675422024-05-22 23:33:42.821Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |