Temperature prediction of FSW medium thickness 2219 aluminium alloy based on intelligent algorithm Online publication date: Wed, 07-Feb-2024
by Xiaohong Lu; Banghua Yang; Xiangyue Meng; Shixuan Sun; Yihan Luan; Steven Y. Liang
International Journal of Manufacturing Research (IJMR), Vol. 19, No. 1, 2024
Abstract: The thickness of launch vehicle fuel tank reaches 18 mm, and is welded using friction stir welding (FSW) technology. The increase in thickness will directly affect the temperature distribution of welded joint, thereby affecting the welding quality. Temperature measurement experiments of FSW 18 mm thick 2219 aluminium alloy were conducted. Based on experimental data, a prediction model of peak temperature in Nugget Zone based on BP and improved GA-BP neural network was built. The results showed that the GA-BP neural network had higher prediction accuracy. Subsequently, a temperature prediction model of peak temperature both on advancing and retreating sides was established based on GA-BP and PSO-BP neural network. The results indicated that PSO-BP model showed better performance to realise dual-objective prediction. The temperature prediction model achieves accurate prediction of the temperature of FSW 2219 aluminium alloy thick plate, providing reference for the control of welding temperature of the fuel tank. [Submitted 22 August 2021; Accepted 13 November 2023]
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Research (IJMR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com