Abstract
The submerged arc welding (SAW) process is similar to other welding methods, the quality of welded joints plays role as improves strength, stiffness and toughness of products. The purpose of this paper, modeling and optimization of the submerged arc welding process parameters is using Taguchi's method analysis of experiments. All analyses were carried out using Minitab 14 Statistical Software and the interaction parameters in this study are ignored. The experimental results show that this model can predict the output parameters with reasonable accuracy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
