Abstract
Obtaining the wire feed speed which can properly match the process parameters is difficult in double-wire-pulsed metal inert gas (MIG) welding. This work analyzed ten factors which affect the wire feed speed in reality and conducted corresponding correlation analysis. Then, four significant correlation factors, which were duty ratio, frequency, average current of leading wire, and average current of trailing wire, are selected as independent variables for establishing a double-wire feed speed prediction model. The model established by support vector machine regression used two evaluation criterions, which were the mean square error (MSE) and squared correlation coefficient (SCC), and then obtained the optimal model parameters by mesh optimization. Finally, the proposed model was validated by actual double-wire-pulsed welding experiments. This study can optimize the double-wire welding technological designing process and improve the intelligent double-wire welding industry.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: The International Journal of Advanced Manufacturing 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.