lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Heat Transfer Prediction of In-Service Welding in a Forced Flow of Fluid
Chalmers University of Technology. (Sjöfartsvetenskap)ORCID iD: 0000-0002-4871-4470
2009 (English)In: Journal of Offshore Mechanics and Arctic Engineering-Transactions of The Asme, ISSN 0892-7219, E-ISSN 1528-896X, Vol. 131, no 3, 1-6 p., 031304Article in journal (Refereed) Published
Abstract [en]

An algorithm for heat transfer prediction of in-service welding operations in a forcedflow of fluid is presented. The algorithm presented is derived from Rosenthal’s 3D heatflow equation and boundary layer approximations. This was possible by the introductionof an apparent thermal conductivity kPL, which is a function of the boundary layer’s heattransfer coefficient f and the base material’s thickness . This implies that a weldcooling time tT1 /T2 in a forced flow of fluid can now be calculated by an ordinaryengineering calculator and thus enabling suitable welding parameters to be determined.The magnitude of kPLf , was established by regression analysis of results from aparametric finite element analysis series of a total number of 112 numerical simulations.Furthermore, the result of the regression analysis was validated and verified by a weldingexperiment series accomplished on an in-house designed and constructed in-servicewelding rig. The principle design of the welding rig as well as its instrumentation, a PCbased Data Acquisition system, is described. In addition, a method to measure the weldmetals cooling time tT1 /T2 by means of thermocouple elements is described. Finally,the algorithm presented in this study proved feasible for industrial in-service weldingoperations of fine-grained Carbon and Carbon–Manganese steels with a maximum CarbonEquivalent (IIW) (CE) of 0.32.

Place, publisher, year, edition, pages
2009. Vol. 131, no 3, 1-6 p., 031304
Keyword [en]
Flow (Dynamics), Heat, Heat transfer, Cooling, Fluids, Steel, Welding, Thermal conductivity, Finite element analysis, Equations, Regression analysis, Thickness
National Category
Manufacturing, Surface and Joining Technology
Research subject
Shipping, Maritime Science
Identifiers
URN: urn:nbn:se:lnu:diva-61979DOI: 10.1115/1.3124126OAI: oai:DiVA.org:lnu-61979DiVA: diva2:1085892
Projects
Funktionsstabilitet
Available from: 2017-03-30 Created: 2017-03-30 Last updated: 2017-04-10Bibliographically approved
In thesis
1. Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
Open this publication in new window or tab >>Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
2005 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

An algorithm for heat transfer prediction of in-service welding operations in a forcedflow of fluid is presented. The algorithm presented is derived from Rosenthal’s 3D heatflow equation and boundary layer approximations. This was possible by the introductionof an apparent thermal conductivity kPL, which is a function of the boundary layer’s heattransfer coefficient f and the base material’s thickness . This implies that a weldcooling time ΔtT1 /T2 in a forced flow of fluid can now be calculated by an ordinaryengineering calculator and thus enabling suitable welding parameters to be determined.The magnitude of kPLf , was established by regression analysis of results from aparametric finite element analysis series of a total number of 112 numerical simulations.Furthermore, the result of the regression analysis was validated and verified by a weldingexperiment series accomplished on an in-house designed and constructed in-servicewelding rig. The principle design of the welding rig as well as its instrumentation, a PCbased Data Acquisition system, is described. In addition, a method to measure the weldmetals cooling time ΔtT1 /T2 by means of thermocouple elements is described. Finally,the algorithm presented in this study proved feasible for industrial in-service weldingoperations of fine-grained Carbon and Carbon–Manganese steels with a maximum Carbon Equivalent (IIW) (CE) of 0.32.

Place, publisher, year, edition, pages
Gothenburg: Chalmers Univeristy of Technology, Department of Shipping and Marine Technology, 2005. 27 p.
Series
Chalmers Univeristy of Technology, Department of Shipping and Marine Technology, ISSN 1101-0614 ; R-05:91
National Category
Vehicle Engineering
Research subject
Shipping, Maritime Science
Identifiers
urn:nbn:se:lnu:diva-62012 (URN)
Opponent
Projects
Funktionsstabilitet
Available from: 2017-04-10 Created: 2017-03-31 Last updated: 2017-04-10Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textJournal of Offshore Mechanics and Arctic Engineering

Search in DiVA

By author/editor
Lindström, Per
In the same journal
Journal of Offshore Mechanics and Arctic Engineering-Transactions of The Asme
Manufacturing, Surface and Joining Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf