Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid

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,...

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Main Author: Lindström, Per
Format: Others
Language:English
Published: Chalmers University of Technology 2005
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-62012
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spelling ndltd-UPSALLA1-oai-DiVA.org-lnu-620122017-04-11T05:29:33ZHeat Transfer Prediction of In Service Welding in a Forced Flow of FluidengLindström, PerChalmers University of TechnologyGothenburg : Chalmers Univeristy of Technology, Department of Shipping and Marine Technology2005Vehicle EngineeringFarkostteknikAn 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. FunktionsstabilitetLicentiate thesis, comprehensive summaryinfo:eu-repo/semantics/masterThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-62012Chalmers Univeristy of Technology, Department of Shipping and Marine Technology, 1101-0614 ; R-05:91application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Vehicle Engineering
Farkostteknik
spellingShingle Vehicle Engineering
Farkostteknik
Lindström, Per
Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
description 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. === Funktionsstabilitet
author Lindström, Per
author_facet Lindström, Per
author_sort Lindström, Per
title Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
title_short Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
title_full Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
title_fullStr Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
title_full_unstemmed Heat Transfer Prediction of In Service Welding in a Forced Flow of Fluid
title_sort heat transfer prediction of in service welding in a forced flow of fluid
publisher Chalmers University of Technology
publishDate 2005
url http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-62012
work_keys_str_mv AT lindstromper heattransferpredictionofinserviceweldinginaforcedflowoffluid
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