Optimization Process Parameters of Submerged Arc Welding Using Taguchi Method
Zuhair Issa Ahmed1, Ali Malik Saadoon2
1Asst. prof. Dr. Zuhair Issa Ahmed, Department of Mechanical Engineering, University of Baghdad, Baghdad, Iraq.
2Ali Malik Saadoon, Department of Mechanical Engineering, University of Baghdad, Baghdad, Iraq.
Manuscript received on 15 October 2015 | Revised Manuscript received on 25 October 2015 | Manuscript Published on 30 October 2015 | PP: 149-152 | Volume-5 Issue-1, October 2015 | Retrieval Number: A4314105115/15©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Submerged arc welding (SAW) process is an essential metal joining processes in industry. The quality of weld is a very important working aspect for the manufacturing and construction industries, the challenges are made optimal process environment. Design of experimental using Taguchi method (L9 orthogonal array (OA)) considering three SAW parameter are (welding current, arc voltage and welding speed) and three levels (300-350-400 Amp. , 32-36-40 V and 26-28-30 cm/min). The study was done on SAW process parameters on the mechanical properties of steel type comply with (ASTM A516 grade 70). Signal to Noise ratio (S/N) was computed to calculate the optimal process parameters. Percentage contributions of each parameter are validated by using analysis of variance (ANOVA) technique. The experimental results were analyzed by using Minitab 16 software.
Keywords: ANOVA, SAW, S/N, Taguchi Method, Welding Process Parameters
Scope of the Article: Welding Technology