Numerical study for prediction of optimum operational parameters in laser welding of NiTi alloy

Mehrshad Mehrpouya*, Annamaria Gisario, Hui Huang, Atabak Rahimzadeh, Mohammad Elahinia

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)

Abstract

Laser welding of NiTi alloy is a challenging process since it strongly affects the functionality of the material in the heat affected and fusion zones. In fact, the inherent thermal process can remarkably change the transformation temperature of NiTi alloy in the welding zone because of variation in the material composition. Accordingly, the laser parameters such as laser power and velocity effectively determine the quality of the welded component. The functional and mechanical behavior of the resulting welded NiTi parts can also be effectively improved by controlling laser parameters, and consequently, improve the weldability quality. The purpose of the present study was to establish a reliable finite element model to predict the thermal behavior induced by the laser welding process. To this end, a numerical model was employed to estimate the optimum laser parameters, which can reduce the heat affected and the fusion regions and thus result in a better weld. The results of the finite element model show good accuracy compared to the experimental results including the transient temperature and the dimension of the heat affected and fusion zones. In addition, an Artificial Neural Network (ANN) approach was applied, as a predictable tool, to perform a nonlinear mapping between inputs and outputs of the welding process in order to find the optimum laser parameters.
Original languageEnglish
Pages (from-to)159-169
JournalOptics & Laser Technology
Volume118
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes

Keywords

  • Laser welding
  • Shape memory alloy
  • NiTi
  • Finite element method
  • Artificial neural network

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