Convective analysis of constructal T-shaped fins View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-04

AUTHORS

G. Lorenzini, M. Medici, L. A. O. Rocha

ABSTRACT

In this work the optimization of T-shaped fins is considered. The potentiality of the Constructal theory applied to heat transfer process in obtaining optimal T-shaped profiles is demonstrated. The range of validity of unidirectional conduction model used through the optimization performed relies on the Biot number criterion, which in some cases appears to be an approximation too weak especially when higher heat transfer coefficients due to the characteristics of the flux and of external surface are involved. After a general overview about elemental profiles and how their geometry has developed in recent years, an original method for obtaining a reasonable assess of the heat transfer coefficient is presented. The aim of the authors is to give a new perspective in optimization process that must guide to optimal results taking into account the real contribution of the whole set of factors and variables involved, with special regards to the contribution of the convective heat transfer. More... »

PAGES

98-104

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1810232814020027

DOI

http://dx.doi.org/10.1134/s1810232814020027

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009826289


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Parma", 
          "id": "https://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Department of Industrial Engineering, University of Parma, Parco Area delle Scienze 181/A, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lorenzini", 
        "givenName": "G.", 
        "id": "sg:person.013714140501.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013714140501.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Parma", 
          "id": "https://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Department of Industrial Engineering, University of Parma, Parco Area delle Scienze 181/A, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Medici", 
        "givenName": "M.", 
        "id": "sg:person.011630015455.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011630015455.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal University of Rio Grande do Sul", 
          "id": "https://www.grid.ac/institutes/grid.8532.c", 
          "name": [
            "Department of Mechanical Engineering, Federal University of Rio Grande do Sul, Rua Sarmento Leite, 425, 90050-170, Porto Alegre, RS, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rocha", 
        "givenName": "L. A. O.", 
        "id": "sg:person.016656000156.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016656000156.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2012.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003003400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2011.10.057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010547275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijthermalsci.2004.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010629167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2012.11.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018473284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2006.05.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020504594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0017-9310(99)00283-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022031407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(96)00175-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030602293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.2756852", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062080674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.3119754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062101739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4005296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062145630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4006103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062146434"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-04", 
    "datePublishedReg": "2014-04-01", 
    "description": "In this work the optimization of T-shaped fins is considered. The potentiality of the Constructal theory applied to heat transfer process in obtaining optimal T-shaped profiles is demonstrated. The range of validity of unidirectional conduction model used through the optimization performed relies on the Biot number criterion, which in some cases appears to be an approximation too weak especially when higher heat transfer coefficients due to the characteristics of the flux and of external surface are involved. After a general overview about elemental profiles and how their geometry has developed in recent years, an original method for obtaining a reasonable assess of the heat transfer coefficient is presented. The aim of the authors is to give a new perspective in optimization process that must guide to optimal results taking into account the real contribution of the whole set of factors and variables involved, with special regards to the contribution of the convective heat transfer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1810232814020027", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136561", 
        "issn": [
          "1810-2328", 
          "1990-5432"
        ], 
        "name": "Journal of Engineering Thermophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Convective analysis of constructal T-shaped fins", 
    "pagination": "98-104", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2ed007ea3a47c63de0af91199140be3e24b31a6a9385068614b564eca2202c0d"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1810232814020027"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009826289"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1810232814020027", 
      "https://app.dimensions.ai/details/publication/pub.1009826289"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:52", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000480.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S1810232814020027"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1134/s1810232814020027'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s1810232814020027'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1810232814020027'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1810232814020027'


 

This table displays all metadata directly associated to this object as RDF triples.

111 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1810232814020027 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N8aee1031858f48d4917d54057a2702b1
4 schema:citation https://doi.org/10.1016/0017-9310(96)00175-5
5 https://doi.org/10.1016/j.ijheatmasstransfer.2006.05.019
6 https://doi.org/10.1016/j.ijheatmasstransfer.2011.10.057
7 https://doi.org/10.1016/j.ijheatmasstransfer.2012.07.009
8 https://doi.org/10.1016/j.ijheatmasstransfer.2012.11.040
9 https://doi.org/10.1016/j.ijthermalsci.2004.04.005
10 https://doi.org/10.1016/s0017-9310(99)00283-5
11 https://doi.org/10.1115/1.2756852
12 https://doi.org/10.1115/1.3119754
13 https://doi.org/10.1115/1.4005296
14 https://doi.org/10.1115/1.4006103
15 schema:datePublished 2014-04
16 schema:datePublishedReg 2014-04-01
17 schema:description In this work the optimization of T-shaped fins is considered. The potentiality of the Constructal theory applied to heat transfer process in obtaining optimal T-shaped profiles is demonstrated. The range of validity of unidirectional conduction model used through the optimization performed relies on the Biot number criterion, which in some cases appears to be an approximation too weak especially when higher heat transfer coefficients due to the characteristics of the flux and of external surface are involved. After a general overview about elemental profiles and how their geometry has developed in recent years, an original method for obtaining a reasonable assess of the heat transfer coefficient is presented. The aim of the authors is to give a new perspective in optimization process that must guide to optimal results taking into account the real contribution of the whole set of factors and variables involved, with special regards to the contribution of the convective heat transfer.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N5647e1836496460286ad18848eea938f
22 Ne2790d5dc2984419bed8f33554091059
23 sg:journal.1136561
24 schema:name Convective analysis of constructal T-shaped fins
25 schema:pagination 98-104
26 schema:productId N2e7957258f5f4c2ca3db39f3a17717af
27 N2fa2dba2951f4e779de955809973b80f
28 Nc890fa5363e94e8ca554155aa6fe8e2e
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009826289
30 https://doi.org/10.1134/s1810232814020027
31 schema:sdDatePublished 2019-04-10T14:52
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher Ne452ff24ede14cde84a54441c3dc9999
34 schema:url http://link.springer.com/10.1134/S1810232814020027
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N1006016f937f4680aec66cc47d424984 rdf:first sg:person.011630015455.11
39 rdf:rest N322d2258fb874aa092865a608dfb415c
40 N2e7957258f5f4c2ca3db39f3a17717af schema:name doi
41 schema:value 10.1134/s1810232814020027
42 rdf:type schema:PropertyValue
43 N2fa2dba2951f4e779de955809973b80f schema:name dimensions_id
44 schema:value pub.1009826289
45 rdf:type schema:PropertyValue
46 N322d2258fb874aa092865a608dfb415c rdf:first sg:person.016656000156.26
47 rdf:rest rdf:nil
48 N5647e1836496460286ad18848eea938f schema:issueNumber 2
49 rdf:type schema:PublicationIssue
50 N8aee1031858f48d4917d54057a2702b1 rdf:first sg:person.013714140501.81
51 rdf:rest N1006016f937f4680aec66cc47d424984
52 Nc890fa5363e94e8ca554155aa6fe8e2e schema:name readcube_id
53 schema:value 2ed007ea3a47c63de0af91199140be3e24b31a6a9385068614b564eca2202c0d
54 rdf:type schema:PropertyValue
55 Ne2790d5dc2984419bed8f33554091059 schema:volumeNumber 23
56 rdf:type schema:PublicationVolume
57 Ne452ff24ede14cde84a54441c3dc9999 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
60 schema:name Engineering
61 rdf:type schema:DefinedTerm
62 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
63 schema:name Interdisciplinary Engineering
64 rdf:type schema:DefinedTerm
65 sg:journal.1136561 schema:issn 1810-2328
66 1990-5432
67 schema:name Journal of Engineering Thermophysics
68 rdf:type schema:Periodical
69 sg:person.011630015455.11 schema:affiliation https://www.grid.ac/institutes/grid.10383.39
70 schema:familyName Medici
71 schema:givenName M.
72 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011630015455.11
73 rdf:type schema:Person
74 sg:person.013714140501.81 schema:affiliation https://www.grid.ac/institutes/grid.10383.39
75 schema:familyName Lorenzini
76 schema:givenName G.
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013714140501.81
78 rdf:type schema:Person
79 sg:person.016656000156.26 schema:affiliation https://www.grid.ac/institutes/grid.8532.c
80 schema:familyName Rocha
81 schema:givenName L. A. O.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016656000156.26
83 rdf:type schema:Person
84 https://doi.org/10.1016/0017-9310(96)00175-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030602293
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/j.ijheatmasstransfer.2006.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020504594
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/j.ijheatmasstransfer.2011.10.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010547275
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1016/j.ijheatmasstransfer.2012.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003003400
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/j.ijheatmasstransfer.2012.11.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018473284
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.ijthermalsci.2004.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010629167
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/s0017-9310(99)00283-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022031407
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1115/1.2756852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062080674
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1115/1.3119754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062101739
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1115/1.4005296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062145630
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1115/1.4006103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062146434
105 rdf:type schema:CreativeWork
106 https://www.grid.ac/institutes/grid.10383.39 schema:alternateName University of Parma
107 schema:name Department of Industrial Engineering, University of Parma, Parco Area delle Scienze 181/A, 43124, Parma, Italy
108 rdf:type schema:Organization
109 https://www.grid.ac/institutes/grid.8532.c schema:alternateName Federal University of Rio Grande do Sul
110 schema:name Department of Mechanical Engineering, Federal University of Rio Grande do Sul, Rua Sarmento Leite, 425, 90050-170, Porto Alegre, RS, Brazil
111 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...