Publication detail

Improvement of Model of Aluminium Alloys Behaviour for Application in Numerical Simulations of Welding

VANĚK, M. ŘIHÁČEK, J. MORAVEC, J.

Original Title

Improvement of Model of Aluminium Alloys Behaviour for Application in Numerical Simulations of Welding

Type

journal article in Scopus

Language

English

Original Abstract

This article describes how to modify numerical solutions to enable more accurate prediction of the size of heat affected zones (HAZ) during welding of heat treatable aluminium alloys. The size of HAZ affects properties of a weld joint, such as e.g. hardness and strength, and it is also a factor on residual stress and deformation after welding depends. Welding experiments were performed using material EN AW-6082 to obtain input data for numerical simulations. Calibration thermo-metallurgical numerical analyses were performed using simulation software Sysweld, where data from the standard Sysweld material database were used. Subsequently, based on information from literature and data obtained during welding experiments, some changes of parameters in Leblonds formula (which describes metallurgical transformation in HAZ) were done. The results obtained with modified material database show that it is possible to perform numerical simulations of aluminium welding with significantly more accurate prediction of the size of the HAZ.

Keywords

numerical simulations, Sysweld, welding, aluminium alloys, heat affected zone, hardness

Authors

VANĚK, M.; ŘIHÁČEK, J.; MORAVEC, J.

Released

21. 11. 2016

Publisher

MM Science Journal

Location

Praha

ISBN

1805-0476

Periodical

MM Science Journal

Year of study

2016

Number

5

State

Czech Republic

Pages from

1370

Pages to

1375

Pages count

6

URL

http://www.mmscience.eu/content/file/archives/MM_Science_2016124.pdf

BibTex

@article{BUT131896,
  author="VANĚK, M. and ŘIHÁČEK, J. and MORAVEC, J.",
  title="Improvement of Model of Aluminium Alloys Behaviour for Application in Numerical Simulations of Welding",
  journal="MM Science Journal",
  year="2016",
  volume="2016",
  number="5",
  pages="1370--1375",
  doi="10.17973/MMSJ.2016\{_}11\{_}2016124",
  issn="1805-0476",
  url="http://www.mmscience.eu/content/file/archives/MM_Science_2016124.pdf"
}