Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses

Detalhes bibliográficos
Autor(a) principal: Alvarenga, Nuno
Data de Publicação: 2021
Outros Autores: Martins, João, Caeiro, José, Garcia, João, Pássaro, João, Coelho, Luis, Santos, Maria Teresa, Lampreia, Célia, Martins, António, Dias, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/20.500.12207/5501
Resumo: Traditional ewe's cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of environmental parameters, predicting the airflow pattern, and identifying critical areas where such parameters could cause reduced cheese quality. A new monitoring system was developed including presence sensors, temperature and humidity dataloggers, pneumatic actuators, microcontrollers, and microcomputers connected remotely for control, data visualization, and processing. The validation of the computer simulation and monitoring system was made with a batch of 40 ewe's cheeses distributed in three different zones inside a prototype ripening room and ripened for 35 days. At 35 days, a physical, chemical, and microbiological characterization of cheeses was made for evaluation of the influence of environmental conditions on cheese quality. The comparison between simulated and local measurements showed close agreement, especially concerning air velocity inside the stacks of cheese. The results of Pearson's correlation analysis and PCA concluded that temperature affected the appearance of the rind, hardness, number and area occupied by holes. Humidity affected aw and mFeret. Air velocity affected pH and the circularity of gas holes.
id RCAP_48a64c7c0d2ade834882b8af594d9638
oai_identifier_str oai:repositorio.ipbeja.pt:20.500.12207/5501
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheesesCheese ripeningInternet of ThingsIndustry 4.0Computational fluid dynamicsTraditional ewe's cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of environmental parameters, predicting the airflow pattern, and identifying critical areas where such parameters could cause reduced cheese quality. A new monitoring system was developed including presence sensors, temperature and humidity dataloggers, pneumatic actuators, microcontrollers, and microcomputers connected remotely for control, data visualization, and processing. The validation of the computer simulation and monitoring system was made with a batch of 40 ewe's cheeses distributed in three different zones inside a prototype ripening room and ripened for 35 days. At 35 days, a physical, chemical, and microbiological characterization of cheeses was made for evaluation of the influence of environmental conditions on cheese quality. The comparison between simulated and local measurements showed close agreement, especially concerning air velocity inside the stacks of cheese. The results of Pearson's correlation analysis and PCA concluded that temperature affected the appearance of the rind, hardness, number and area occupied by holes. Humidity affected aw and mFeret. Air velocity affected pH and the circularity of gas holes.MDPI2022-05-25T09:32:56Z2021-07-23T00:00:00Z2021-07-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.12207/5501eng2304-8158https://doi.org/10.3390/foods10081716Alvarenga, NunoMartins, JoãoCaeiro, JoséGarcia, JoãoPássaro, JoãoCoelho, LuisSantos, Maria TeresaLampreia, CéliaMartins, AntónioDias, Joãoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-06-23T07:47:46Zoai:repositorio.ipbeja.pt:20.500.12207/5501Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T14:59:37.931958Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
title Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
spellingShingle Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
Alvarenga, Nuno
Cheese ripening
Internet of Things
Industry 4.0
Computational fluid dynamics
title_short Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
title_full Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
title_fullStr Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
title_full_unstemmed Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
title_sort Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
author Alvarenga, Nuno
author_facet Alvarenga, Nuno
Martins, João
Caeiro, José
Garcia, João
Pássaro, João
Coelho, Luis
Santos, Maria Teresa
Lampreia, Célia
Martins, António
Dias, João
author_role author
author2 Martins, João
Caeiro, José
Garcia, João
Pássaro, João
Coelho, Luis
Santos, Maria Teresa
Lampreia, Célia
Martins, António
Dias, João
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Alvarenga, Nuno
Martins, João
Caeiro, José
Garcia, João
Pássaro, João
Coelho, Luis
Santos, Maria Teresa
Lampreia, Célia
Martins, António
Dias, João
dc.subject.por.fl_str_mv Cheese ripening
Internet of Things
Industry 4.0
Computational fluid dynamics
topic Cheese ripening
Internet of Things
Industry 4.0
Computational fluid dynamics
description Traditional ewe's cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of environmental parameters, predicting the airflow pattern, and identifying critical areas where such parameters could cause reduced cheese quality. A new monitoring system was developed including presence sensors, temperature and humidity dataloggers, pneumatic actuators, microcontrollers, and microcomputers connected remotely for control, data visualization, and processing. The validation of the computer simulation and monitoring system was made with a batch of 40 ewe's cheeses distributed in three different zones inside a prototype ripening room and ripened for 35 days. At 35 days, a physical, chemical, and microbiological characterization of cheeses was made for evaluation of the influence of environmental conditions on cheese quality. The comparison between simulated and local measurements showed close agreement, especially concerning air velocity inside the stacks of cheese. The results of Pearson's correlation analysis and PCA concluded that temperature affected the appearance of the rind, hardness, number and area occupied by holes. Humidity affected aw and mFeret. Air velocity affected pH and the circularity of gas holes.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-23T00:00:00Z
2021-07-23T00:00:00Z
2022-05-25T09:32:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/20.500.12207/5501
url http://hdl.handle.net/20.500.12207/5501
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2304-8158
https://doi.org/10.3390/foods10081716
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799129868901810176