Detail publikace

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

VANĚK, M. ŘIHÁČEK, J. MORAVEC, J.

Originální název

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

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

VANĚK, M.; ŘIHÁČEK, J.; MORAVEC, J.

Vydáno

21. 11. 2016

Nakladatel

MM Science Journal

Místo

Praha

ISSN

1805-0476

Periodikum

MM Science Journal

Ročník

2016

Číslo

5

Stát

Česká republika

Strany od

1370

Strany do

1375

Strany počet

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"
}