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...

Full description

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
id UNACIONAL2_a166c4238b68f7c43d8f322019eeb903
oai_identifier_str oai:repositorio.unal.edu.co:unal/67542
network_acronym_str UNACIONAL2
network_name_str 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
bitstream.checksum.fl_str_mv 24b0fbc23f7177922e4c4926134ffcf9
436a5bbbfe27101514b198ec03403b0a
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
_version_ 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