Quality prediction of friction stir welded joint based on multiple regression: entropy generation analysis

• Published in: International journal of advanced manufacturing technology Vol. 125; no. 11-12; pp. 5163 - 5183
• Main Authors: Yan, Fang, Li, Qun, Fu, Xianbin, Kong, Tao, Mi, Songtao, Zhang, YuCun
• Format: Journal Article
• Language: English
• Published: London Springer London 01.04.2023; Springer Nature B.V
• Subjects: CAE) and Design; Computer-Aided Engineering (CAD; Engineering; Entropy; Entropy of solution; Exact solutions; Friction stir processing; Friction stir welding; Industrial and Production Engineering; Mathematical models; Mechanical Engineering; Media Management; Nonequilibrium thermodynamics; Original Article; Parameters; Prediction models; Thermodynamic equilibrium; Welded joints; Joint quality; Entropy generation analysis; Multiple regression analysis; Friction stir welding
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-023-10979-0

Due to the outstanding advantages in light alloy material processing, friction stir welding technology is of great significance for obtaining high-quality welding products and accelerating aerospace lightweight. At present, most related studies predict joint quality before welding through computer technology. However, due to the complex thermo-mechanical coupling in the welding process, there may be a large deviation between the predicted results and the actual results, resulting in energy waste. In addition, these prediction models have poor real-time and versatility. Therefore, a new joint quality prediction method based on entropy production analysis is proposed in this paper. Firstly, based on non-equilibrium thermodynamics and extrusion theory, the entropy generation analysis model of the friction stir welding system is deduced. Using Liouvile’s Formula, the analytic solution of the entropy generation analysis model with unknown parameters is obtained. Secondly, combined with numerical simulation and multiple regression, the unknown parameters of the entropy generation analysis model are determined. Finally, multiple sets of welding experiments are designed to verify the effectiveness of the entropy generation analysis model. The welding process is analyzed by the proposed entropy generation analysis model to achieve the quality prediction of friction stir welded joint.