Abstract
This study is aimed at obtaining a relationship between the values of dependent and independent variables of robotic gas metal arc welding, using linear regression techniques. The welding parameters such as the arc current, stick out, arc voltage and welding speed are taken as independent variables and bead geometry namely bead width, bead penetration and bead reinforcement were dependent variables. In this study, the important factors on bead geometry are considered and the other parameters are held as constant. An extension of this model, namely multiple linear regressions, is used to represent the relationship between a dependent variable and several independent variables. Taguchi’s L<sub>27</sub>, 3 level 4 parameter orthogonal array design of experiments, twenty seven samples were analyzed and the bead geometry values of the weld bead have been measured. Then, the relationship between the welding parameters is modeled and expressed in multiple linear regression models by a script approach with MATLAB. Each model is checked for its adequacy by using ANOVA. The proposed model is compared with the experiment values and it has positive correlation with maximum of 3.67% error. The results were confirmed by further experiments.
Highlights
In the present scenario, all manufacturing sector, more than 85% of products require welding operations in their production line
The welded components quality purely depend the selection of input independent variables which is done by the programmer
The values of Bead Penetration (BP), Bead Width (BW) and Bead Height (BH) increase with the increase in arc current, whereas these values decrease with the increase in travel speed
Summary
All manufacturing sector, more than 85% of products require welding operations in their production line. The combination of the chosen input parameters jeopardizes the reliability of the welded components. Automation of welding is a complex process, difficult to monitor, parameterize and control effectively (Norberto et al, 2006). The traditional technique requires a lot of time to complete the task and it will not guarantee the output quality. The welded components quality purely depend the selection of input independent variables which is done by the programmer. Still the ideal welding parameters combination requirement arises, which can be found only if scientific selection methodology is utilized
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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 callMore From: Research Journal of Applied Sciences, Engineering and Technology
Disclaimer: 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.
