Investigation of the influence of the welding speed and current on the parameters of the adaptive function

Mohammad Bagher Nasiri, N Enzinger

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The adaptive function developed by authors allows direct correlation between welding circumstances and temperature distribution using limited experimental data including weld pool dimensions and temperature at some arbitrary points. This paper intends to investigate the effects of welding speed and welding current on the parameters of the adaptive function. GTAW with various welding speeds and various welding currents was applied on duplex stainless steel plates. According to the experimental data, the parameters of the adaptive function were expressed as a function of welding speed and weld pool dimensions. To show the effectiveness of the new method, Rosenthal model and FEM were employed to simulate the conducted welding and the accuracy of the predicted result rather than the measured temperature were estimated by relative error. The results show that the adaptive function method is more accurate than the FEM and Rosenthal approach in all studied cases.
Original languageEnglish
Title of host publicationMathematical Modelling of Weld Phenomena 12
Place of PublicationGraz
PublisherVerlag der Technischen Universität Graz
Pages1-20
DOIs
Publication statusPublished - 2019
EventThe 12th International Seminar Numerical Analysis of Weldability - Schloss Seggau, Seggauberg, Austria
Duration: 23 Sept 201826 Sept 2018
https://www.tugraz.at/events/seggau/seminar-information/home/

Conference

ConferenceThe 12th International Seminar Numerical Analysis of Weldability
Country/TerritoryAustria
CitySeggauberg
Period23/09/1826/09/18
Internet address

Keywords

  • Welding Simulation
  • Heat Flow
  • Analytical Solution
  • Partial Differential Equation
  • FEM

ASJC Scopus subject areas

  • Applied Mathematics
  • Mechanical Engineering
  • General Materials Science

Fields of Expertise

  • Advanced Materials Science
  • Mobility & Production

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