Modelling of GTAW Weld Pool under Marangoni Convection

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aut.conference.typePaper Published in Proceedings
aut.publication.placeAuckland
aut.relation.endpage114
aut.relation.pages2
aut.relation.startpage113
aut.researcherNates, Roy Jonathan
dc.contributor.authorNates, RJ
dc.contributor.authorWang, G
dc.contributor.authorPasang, T
dc.contributor.editorJones, MI
dc.date.accessioned2014-03-04T01:04:50Z
dc.date.available2014-03-04T01:04:50Z
dc.date.copyright2013-11-25
dc.date.issued2013-11-25
dc.description.abstractWith several different fusion welding processes, the melted weld pool profile which ultimately solidifies to form the fusion zone, diverging greatly by a wide variety of factors, e.g. base material, workpiece size, machine setups and extensive range of other process variables. For each distinctive welding setup, the weld pool geometry could vary considerably, and thought to be largely dependent on the hydrodynamics of the weld pools [1]. The Marangoni Effect or thermo-capillarity is seen to be the a dominant force influencing weld pool flow patterns under Gas Tungsten Arc Welding (GTAW), inducing liquid metal to flow to regions with higher surface tension (γ) caused by surface tension thermal gradients ∂γ⁄∂T, this in turn would greatly alter the weld pool thermal history, hence the fusion zone geometry [2]. As a general trend, for a negative ∂γ⁄∂T, outward flow from the pool centre to the edge tends to produce wide and shallow pools; whereas for a positive ∂γ⁄∂T, the liquid metal would flow inward to the pool centre, thus creating deep and narrow pool shapes [3]. Fig. 1 Schematic illustration of GTAW process with negative surface tension temperature gradient. This research group believes that the Marangoni Effect is the dominant force in weld pool shaping. To better understand the weld pool behaviours, a two-dimensional simulation model was constructed in CFD package Fluent®, based on stationary arc GTAW welding conditions. In addition, GTAW welding experiments were also performed on titanium alloy Ti-5Al-5Mo-5V-3Cr as reference data for the numerical results to evaluate against.
dc.identifier.citationNew Zealand Conference of Chemical and Materials Engineering, NZCCME2013 held at University of Auckland, Auckland, 2013-11-25 to 2014-03-26, published in: Proceedings of the NZ Conference of Chemical and Materials Engineering 2013 (NZCCME2013), pp.113 - 114 (2)
dc.identifier.isbn978-0-473-25614-2
dc.identifier.urihttps://hdl.handle.net/10292/6953
dc.publisherSCENZ-IChemE
dc.relation.urihttp://www.facultyconferences.auckland.ac.nz/uoa/home/faculty-of-engineering/nzccme/nzccme-programme
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccess
dc.subjectWelding
dc.subjectWeld-pool
dc.subjectMarangoni effect
dc.subjectModelling
dc.titleModelling of GTAW Weld Pool under Marangoni Convection
dc.typeConference Contribution
pubs.elements-id163143
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Engineering
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