Indian Welding Journal

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Gas Metal Arc Welding – Temperature characteristics (Part II)


Affiliations
1 Freelance Consultant in Materials & Welding, India
     

   Subscribe/Renew Journal


.Temperature distribution in the workpiece during gas metal arc welding are valuable information that can help diagnose the weld joint quality and take corrective measures by fine tuning the welding parameters. The temperature isotherms and temperature-time plots of specific locations in the weld joint are predicted using mathematical models, wherein the heat of welding is a major input. The heatinput can be derived from the current and voltage waveforms of power sources and can be used to predict the temperature distribution and time-temperature profile. Modern power sources have addressed short comings related to burn-through and spattering by controlling current and voltage waveforms without any instantaneous heat spikes and maintaining steady heat-input throughout the process. The temperature maps are indicative of heat variation during welding.

Keywords

GMAW, heat-input, temperature-time plot, weld, HAZ, short-circuit, waveform.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Kumar S and Bhaduri SC (1994); Three-dimensional finite element modeling of Gas Metal-Arc Welding, Met. Matl. Trans. B, 25B, pp.435-441.

  • Cerjak H and Easterling KE (1993); Mathematical modelling of weld phenomena, The Institute of Materials, London, Book.

  • Moravec J, Svec M, Bukovska S and Sobotka J (2021); Assessment of the heat-input effect on the distribution of temperature cycles in the HAZ of S460MC welds in MAG welding, Metals, 11, pp.1-17.

  • da Silva E, Macedo Jr JR, Scotti A and de Oliveira JC (2011); Power quality analysis of Gas Metal Arc Welding process operating under different drop transfer modes, RE&PQJ, 1(9), pp.362-368

  • Hälsig A, Pehle S, Kusch M and Mayr P (2017); Reducing potential errors in the calculation of cooling rates fortypical arc welding processes, Weld. World, 61, pp.745–754.

  • Hälsig A, Kusch M and Mayr P (2012); New findings on the efficiency of gas shielded arc welding, Weld. World, 56, pp.98–104.

  • Hälsig A and Mayr P (2013); Energy balance study of gas-shielded arc welding processes, Weld. World, 57, pp.727–734.

  • Chen T, Xue S, Wang B, Zhai P and Long W (2019); Study on short-circuiting GMAW pool behavior and microstructure of the weld with different waveform control methods, Metals, 9/1326, pp.1-20.

  • Kah P, Suoranta R and Martikainen J (2013); Advanced gas metal arc welding processes, Int. J Adv. Manuf. Technol., 67, pp.655-674.

  • Trommer G (2009); Fronius: technologie-und anwendungsinnovationen mit dem, CMT avancedprozess, Weld Cut Today, 2, pp.12–15.

  • Zhang HT (2009); The arc characteristics and metal transfer behavior of cold metal transfer and its use in joining aluminium to zinc-coated steel, Mater Sci Eng. A, 499(1–2), pp.111–113

  • Doneth W (2010); Welding thin with GMAW, http: //www.thefabricator.com/article/arcwelding/weldingthin-with-gmaw.

  • Era T (2008); Welding sheet with a modified shortcircuiting process, AWS Detroit Section's Sheet Metal Welding Conf. XIII, May 14–16, Livonia, Michigan, USA

  • Maritime-executive (2009); Reaching the limit of arc welding, http://www.maritime-executive.com /pressrelease/latest-newsfronius-international-gmbh/.

  • Fronius (2010); CMT Advanced notches up further successes, http: //www.fronius.com/cps/rde/xchg/ SID-54985C4AEA7E18B8/fronius-international/ hs.xsl/79_19829_ENG_HTML.htm, Accessed on 30 May 2011.


Abstract Views: 118

PDF Views: 3




  • Gas Metal Arc Welding – Temperature characteristics (Part II)

Abstract Views: 118  |  PDF Views: 3

Authors

Mahadev Shome
Freelance Consultant in Materials & Welding, India

Abstract


.Temperature distribution in the workpiece during gas metal arc welding are valuable information that can help diagnose the weld joint quality and take corrective measures by fine tuning the welding parameters. The temperature isotherms and temperature-time plots of specific locations in the weld joint are predicted using mathematical models, wherein the heat of welding is a major input. The heatinput can be derived from the current and voltage waveforms of power sources and can be used to predict the temperature distribution and time-temperature profile. Modern power sources have addressed short comings related to burn-through and spattering by controlling current and voltage waveforms without any instantaneous heat spikes and maintaining steady heat-input throughout the process. The temperature maps are indicative of heat variation during welding.

Keywords


GMAW, heat-input, temperature-time plot, weld, HAZ, short-circuit, waveform.

References





DOI: https://doi.org/10.22486/iwj.v55i4.217828