doi: 10.7763/IJET.2010.V2.170
Using ANN Approach to Investigate the Weld Geometry of Ti 6Al 4V Titanium Alloy
Abstract
Nowadays Artificial Neural Networks (ANNs) are widely used for modeling and investigation the effects of process parameters. In the presented study, laser butt welding of Ti 6Al 4V material on a 2.2 Kw Co2 laser is investigated. The experiments were designed using a five level Response Surface Method (RSM). Effects of process parameters including laser power, welding speed and focal point position on butt weld geometries were carried out using Artificial Neural Network. Results indicate that the welding speed and laser power have significant effect, whereas, the focal point position show low effect on the process. The welding speed has an opposite effect on all responses while the laser power has a positive effect.
Keywords
- Laser welding
- Artificial Neural Network
- Ti6Al 4V
How to Cite
A. Khorram, M. R. Soleymani Yazdi, M. Ghoreishi, and M. Moradi, "Using ANN Approach to Investigate the Weld Geometry of Ti 6Al 4V Titanium Alloy," International Journal of Engineering and Technology, vol. 2, no. 5, pp. 491-498, 2010. https://doi.org/ 10.7763/IJET.2010.V2.170
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).