Heat Flow during the Autogenous GTA Welding of Pipes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1984-06

AUTHORS

Sindo Kou, Y. Le

ABSTRACT

A theoretical and experimental study of heat flow during the welding of pipes was carried out. The theoretical part of the study involves the development of two finite difference computer models: one for describing steady state, 3-dimensional heat flow during seam welding, the other for describing unsteady state, 3-dimensional heat flow during girth welding. The experimental part of the study, on the other hand, includes: measurement of the thermal response of the pipe with a high speed data acquisition system, determination of the arc efficiency with a calorimeter, and examination of the fusion boundary of the resultant weld. The experimental results were compared with the calculated ones, and the agreement was excellent in the case of seam welding and reasonably good in the case of girth welding. Both the computer models and experiments confirmed that, under a constant heat input and welding speed, the size of the fusion zone remains unchanged in seam welding but continues to increase in girth welding of pipes of small diameters. It is expected that the unsteady state model developed can be used to provide optimum conditions for girth welding, so that uniform weld beads can be obtained and weld defects such as lack of fusion and sagging can be avoided. More... »

PAGES

1165-1171

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02644711

DOI

http://dx.doi.org/10.1007/bf02644711

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030850718


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 Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Metallurgical and Mineral Engineering, University of Wisconsin, 53706, Madison, WI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kou", 
        "givenName": "Sindo", 
        "id": "sg:person.0710072274.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710072274.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Metallurgical and Mineral Engineering, University of Wisconsin, 53706, Madison, WI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Le", 
        "givenName": "Y.", 
        "id": "sg:person.016230073111.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016230073111.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/nme.1620180707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008644425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620180707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008644425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02663298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027868033", 
          "https://doi.org/10.1007/bf02663298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02663298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027868033", 
          "https://doi.org/10.1007/bf02663298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02643345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037926477", 
          "https://doi.org/10.1007/bf02643345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02643345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037926477", 
          "https://doi.org/10.1007/bf02643345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1728803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057795303"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1984-06", 
    "datePublishedReg": "1984-06-01", 
    "description": "A theoretical and experimental study of heat flow during the welding of pipes was carried out. The theoretical part of the study involves the development of two finite difference computer models: one for describing steady state, 3-dimensional heat flow during seam welding, the other for describing unsteady state, 3-dimensional heat flow during girth welding. The experimental part of the study, on the other hand, includes: measurement of the thermal response of the pipe with a high speed data acquisition system, determination of the arc efficiency with a calorimeter, and examination of the fusion boundary of the resultant weld. The experimental results were compared with the calculated ones, and the agreement was excellent in the case of seam welding and reasonably good in the case of girth welding. Both the computer models and experiments confirmed that, under a constant heat input and welding speed, the size of the fusion zone remains unchanged in seam welding but continues to increase in girth welding of pipes of small diameters. It is expected that the unsteady state model developed can be used to provide optimum conditions for girth welding, so that uniform weld beads can be obtained and weld defects such as lack of fusion and sagging can be avoided.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02644711", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136292", 
        "issn": [
          "1073-5623", 
          "1543-1940"
        ], 
        "name": "Metallurgical and Materials Transactions A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Heat Flow during the Autogenous GTA Welding of Pipes", 
    "pagination": "1165-1171", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "92f84ff54d91696e59e12e44c4f795167bb47b2f62a2fa4b244bcd0844a13dbb"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02644711"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030850718"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02644711", 
      "https://app.dimensions.ai/details/publication/pub.1030850718"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:33", 
    "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/v90/0000000370_0000000370/records_46766_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2FBF02644711"
  }
]
 

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.10.1007/bf02644711'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf02644711'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02644711'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02644711'


 

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

82 TRIPLES      21 PREDICATES      31 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02644711 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N3fc144bbb6b448b6b9b04770449cceed
4 schema:citation sg:pub.10.1007/bf02643345
5 sg:pub.10.1007/bf02663298
6 https://doi.org/10.1002/nme.1620180707
7 https://doi.org/10.1063/1.1728803
8 schema:datePublished 1984-06
9 schema:datePublishedReg 1984-06-01
10 schema:description A theoretical and experimental study of heat flow during the welding of pipes was carried out. The theoretical part of the study involves the development of two finite difference computer models: one for describing steady state, 3-dimensional heat flow during seam welding, the other for describing unsteady state, 3-dimensional heat flow during girth welding. The experimental part of the study, on the other hand, includes: measurement of the thermal response of the pipe with a high speed data acquisition system, determination of the arc efficiency with a calorimeter, and examination of the fusion boundary of the resultant weld. The experimental results were compared with the calculated ones, and the agreement was excellent in the case of seam welding and reasonably good in the case of girth welding. Both the computer models and experiments confirmed that, under a constant heat input and welding speed, the size of the fusion zone remains unchanged in seam welding but continues to increase in girth welding of pipes of small diameters. It is expected that the unsteady state model developed can be used to provide optimum conditions for girth welding, so that uniform weld beads can be obtained and weld defects such as lack of fusion and sagging can be avoided.
11 schema:genre research_article
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf N47c3a781f6a748debb9a357d643efbe0
15 Nd9a0a5df30ee42acb8db297409d47687
16 sg:journal.1136292
17 schema:name Heat Flow during the Autogenous GTA Welding of Pipes
18 schema:pagination 1165-1171
19 schema:productId N5938877487e444bebdb993d29e84f2a0
20 Nbccd9539ecac446abc4e22f582e54896
21 Nc6e7dc321e434dafb633590538ec335f
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030850718
23 https://doi.org/10.1007/bf02644711
24 schema:sdDatePublished 2019-04-11T13:33
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher N1a3af7e378f748269655874733a0304f
27 schema:url https://link.springer.com/10.1007%2FBF02644711
28 sgo:license sg:explorer/license/
29 sgo:sdDataset articles
30 rdf:type schema:ScholarlyArticle
31 N1a3af7e378f748269655874733a0304f schema:name Springer Nature - SN SciGraph project
32 rdf:type schema:Organization
33 N3fc144bbb6b448b6b9b04770449cceed rdf:first sg:person.0710072274.07
34 rdf:rest N9ef087fde57f45c2ac3dcf90a2456059
35 N47c3a781f6a748debb9a357d643efbe0 schema:volumeNumber 15
36 rdf:type schema:PublicationVolume
37 N5938877487e444bebdb993d29e84f2a0 schema:name readcube_id
38 schema:value 92f84ff54d91696e59e12e44c4f795167bb47b2f62a2fa4b244bcd0844a13dbb
39 rdf:type schema:PropertyValue
40 N9ef087fde57f45c2ac3dcf90a2456059 rdf:first sg:person.016230073111.49
41 rdf:rest rdf:nil
42 Nbccd9539ecac446abc4e22f582e54896 schema:name dimensions_id
43 schema:value pub.1030850718
44 rdf:type schema:PropertyValue
45 Nc6e7dc321e434dafb633590538ec335f schema:name doi
46 schema:value 10.1007/bf02644711
47 rdf:type schema:PropertyValue
48 Nd9a0a5df30ee42acb8db297409d47687 schema:issueNumber 6
49 rdf:type schema:PublicationIssue
50 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
51 schema:name Engineering
52 rdf:type schema:DefinedTerm
53 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
54 schema:name Interdisciplinary Engineering
55 rdf:type schema:DefinedTerm
56 sg:journal.1136292 schema:issn 1073-5623
57 1543-1940
58 schema:name Metallurgical and Materials Transactions A
59 rdf:type schema:Periodical
60 sg:person.016230073111.49 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
61 schema:familyName Le
62 schema:givenName Y.
63 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016230073111.49
64 rdf:type schema:Person
65 sg:person.0710072274.07 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
66 schema:familyName Kou
67 schema:givenName Sindo
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710072274.07
69 rdf:type schema:Person
70 sg:pub.10.1007/bf02643345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037926477
71 https://doi.org/10.1007/bf02643345
72 rdf:type schema:CreativeWork
73 sg:pub.10.1007/bf02663298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027868033
74 https://doi.org/10.1007/bf02663298
75 rdf:type schema:CreativeWork
76 https://doi.org/10.1002/nme.1620180707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008644425
77 rdf:type schema:CreativeWork
78 https://doi.org/10.1063/1.1728803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057795303
79 rdf:type schema:CreativeWork
80 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
81 schema:name Department of Metallurgical and Mineral Engineering, University of Wisconsin, 53706, Madison, WI
82 rdf:type schema:Organization
 




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


...