Predicting tensile strength of friction stir welded AA6061 aluminium alloy joints by a mathematical model

By K. Elangovan, V. Balasubramanian, S. Babu. 2009

265 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/65861ce63fd51f6af7c2f5a9c7b4d53cec22f884

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Andrew D. Ball
2. Fengshou Gu
3. Xiaocong He

In Mechanical Engineering

1. Andrew D. Ball
2. Fengshou Gu
3. Michael Reinbolt
4. Xiaocong He
5. Y. Gan
6. D. Solomon

Citations in the corpus

• Optimization of process parameters of aluminum alloy AA 2014-T6 friction stir welds by response surface methodology (2015, background): “The tool pin profile with flat faces produces the pulsating effect and better plastic flow of material [15].”
• Friction Stir Processing of Particle Reinforced Composite Materials (2010, background): “Experimental [34–43], analytical [44,45] and computational studies of friction stir processing nanocomposites [46,47] have been performed.”
• A review of numerical analysis of friction stir welding (2014, methodology): “An attempt was made to develop a mathematical model for predicting the tensile strength of FSW AA6061 aluminium alloy by incorporating FSW process parameters [381].”