A Novel Approach to Optimization of MIG Welding Process Parameters on AA 6061
Kids, Technology, Machinery and Tools
| Author: | Christo Ananth | ISBN: | 9788191075168 |
| Publisher: | Rakuten Kobo Inc. Publishing | Publication: | October 17, 2017 |
| Imprint: | Language: | English |
| Author: | Christo Ananth |
| ISBN: | 9788191075168 |
| Publisher: | Rakuten Kobo Inc. Publishing |
| Publication: | October 17, 2017 |
| Imprint: | |
| Language: | English |
From the literature it has been found out that optimization is done on MIG welding process parameters AA 5456 weldments using DOE. Taguchi is used mostly in all optimization process. The main objective of this work is to optimize the MIG welding Process parameters on AA 6061 to yield maximum ultimate tensile strength and hardness using Taguchi method. Four parameters and two levels has been selected. Experiments have been conducted as per parametric combination of L8 Orthogonal Array for this project work. In the Phase-2 project work is to be extended to measure the output responses and perform analysis of variance. Finally optimum process parameters is to be calculated. Confirmation test will be performed to ensure optimum results. Future work is directed towards the optimization of MIG welding process parameters on different aluminium alloy 6061 using Artificial neural network and genetic algorithm.This work has to be extended further into different aluminium alloys. In addition to the parameter voltage, specimen edge angle will also play a considerable participation in the strength of the welded joints.
From the literature it has been found out that optimization is done on MIG welding process parameters AA 5456 weldments using DOE. Taguchi is used mostly in all optimization process. The main objective of this work is to optimize the MIG welding Process parameters on AA 6061 to yield maximum ultimate tensile strength and hardness using Taguchi method. Four parameters and two levels has been selected. Experiments have been conducted as per parametric combination of L8 Orthogonal Array for this project work. In the Phase-2 project work is to be extended to measure the output responses and perform analysis of variance. Finally optimum process parameters is to be calculated. Confirmation test will be performed to ensure optimum results. Future work is directed towards the optimization of MIG welding process parameters on different aluminium alloy 6061 using Artificial neural network and genetic algorithm.This work has to be extended further into different aluminium alloys. In addition to the parameter voltage, specimen edge angle will also play a considerable participation in the strength of the welded joints.
