Abstract
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.
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Funding
This study is supported by the Central Government Guides Local Science and Technology Development Foundation (Grant No. 216Z1801G, 226Z1806G) and the Natural Science Foundation of Hebei Province, China (Grant No. E2022415005, E2021415003) and “333 talent project” foundation of Hebei Province (Grant No. A202101025).
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The author Fang Yan conducted experiments and wrote the article. The author YuCun Zhang and Qun Li supervised this study and provided modification on the manuscript. The authors Songtao Mi, Xianbin Fu, and Tao Kong provided technical assistance.
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Appendix
Appendix
1.1 Appendix A. Derivation of Q 1’
According to reference [46], the nominal contact area between the shoulder with workpieces (A1), and the side of the welding pin with workpieces (A2) per unit time respectively are
So, for a period, the contact area between the welding tool and workpieces
Based on reference [47], friction force between the shoulder and the workpieces can be expressed as
where c is area coefficient, and c = 0.93; FN is normal load; ϕ is adhesive shear strength; D is fractal dimension, and D = 1.63; G is the scale factor, and G = 1E-6; σy is the yield strength of aluminum; E is comprehensive elastic modulus of aluminum alloy materials, and E = 73 GPa. Thus, the frictional heat between welding tool and workpieces.
Where n is rotation rate. According to Hilbert Space Projection Theorem, the above equation (A5) is simplified to the following equation (A6).
Where
1.2 Appendix B. Derivation of Q 6’
According to reference [48], the plastic deformation heat during FSW
According to Hilbert Space Projection Theorem, the above equation (B1) is simplified to the following equation (B2).
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Yan, F., Li, Q., Fu, X. et al. Quality prediction of friction stir welded joint based on multiple regression: entropy generation analysis. Int J Adv Manuf Technol 125, 5163–5183 (2023). https://doi.org/10.1007/s00170-023-10979-0
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DOI: https://doi.org/10.1007/s00170-023-10979-0