Numerical modelling of a temperature-controlled laser joining process of aluminum to galvanized steel is presented. First, the temporal evolution of the interface temperature is calculated by the use of an integrated virtual proportional-integral-derivative (PID) controller. The obtained interface temperature is then used to predict the thickness of the intermetallic layer by solving Fick’s second law assuming one-dimensional diffusion and considering the temperature dependence of the diffusion coefficient. The results show good agreement with experimentally obtained values of the thickness of the intermetallic layer.
%0 Conference Paper
%1 weller2017modelling
%A Weller, Daniel
%A Fetzer, Florian
%A Weber, Rudolf
%A Graf, Thomas
%B Lasers in Manufacturing Conference 2017
%D 2017
%I WLT
%K Laser modeling myown welding
%T Modelling of temperature-controlled laser joining of aluminum and galvanized steel
%X Numerical modelling of a temperature-controlled laser joining process of aluminum to galvanized steel is presented. First, the temporal evolution of the interface temperature is calculated by the use of an integrated virtual proportional-integral-derivative (PID) controller. The obtained interface temperature is then used to predict the thickness of the intermetallic layer by solving Fick’s second law assuming one-dimensional diffusion and considering the temperature dependence of the diffusion coefficient. The results show good agreement with experimentally obtained values of the thickness of the intermetallic layer.
@inproceedings{weller2017modelling,
abstract = {Numerical modelling of a temperature-controlled laser joining process of aluminum to galvanized steel is presented. First, the temporal evolution of the interface temperature is calculated by the use of an integrated virtual proportional-integral-derivative (PID) controller. The obtained interface temperature is then used to predict the thickness of the intermetallic layer by solving Fick’s second law assuming one-dimensional diffusion and considering the temperature dependence of the diffusion coefficient. The results show good agreement with experimentally obtained values of the thickness of the intermetallic layer.},
added-at = {2018-03-22T17:06:22.000+0100},
author = {Weller, Daniel and Fetzer, Florian and Weber, Rudolf and Graf, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c4ac4954dbcc81b7acbb6aaf94ca6cbe/danielweller},
booktitle = {Lasers in Manufacturing Conference 2017},
eventdate = {26.-29.June.2017},
eventtitle = {Lasers in Manufacturing Conference 2017},
interhash = {820c9c613f3401b2d91264ec84c22f3a},
intrahash = {c4ac4954dbcc81b7acbb6aaf94ca6cbe},
keywords = {Laser modeling myown welding},
month = {June},
publisher = {WLT},
timestamp = {2018-03-22T16:06:22.000+0100},
title = {Modelling of temperature-controlled laser joining of aluminum and galvanized steel},
venue = {Munich, Germany},
year = 2017
}
