Heat Flow Prediction in Friction Stir Welded Aluminium Alloy 2024 Small Diameter Pipes

Authors

  • S. Deivanai Indira Gandhi Delhi Technical University for Women, Department of Mechanical & Automation Engineering, Kashmere Gate, New Delhi, India.
  • Manoj Soni Indira Gandhi Delhi Technical University for Women, Department of Mechanical & Automation Engineering, Kashmere Gate, New Delhi, India.

Keywords:

Full factorial design, design of experiment, mathematical model, ANN, heat flow

Abstract

Aluminum alloy 2024 is used for a wide variety of items, including electrical conduits, hose reels, sewage pumps, pressure regulators, level indicators, control valves, and many more. The friction stir welding (FSW) method is a new solid state joining technique that combines aluminum, magnesium, zinc, and copper alloys. The welding quality is heavily influenced by the FSW process parameters. Weld speed, shoulder pin diameter, and tool rotational speed were found to influence weld nugget and FSW tool shoulder temperatures, according to the researchers. Research on heat flow is essential because it has a direct impact on the microstructure, joint strength, residual stress, cold cracking, size of the heat affected zone (HAZ), and distortion of welded AA2024 pipes. It was decided to build a mathematical model. To check if the model was sufficient, the ANOVA method was utilized. The graphical depiction of the primary and interaction impacts of the process variables is presented using MINITAB 17.0. The goal of building the model was to make predictions about the flow of heat. In order to assess their relative merits, the mathematical model, the ANN model, and the experimental values were all compared. The findings were satisfactory for the ANN model of the FSW process that used a feed forward strategy. Conducting analyses and computations involving heat flow.

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Published

2024-09-16

How to Cite

S. Deivanai, & Manoj Soni. (2024). Heat Flow Prediction in Friction Stir Welded Aluminium Alloy 2024 Small Diameter Pipes. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 131–136. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1014

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