In this research, friction stir processing for producing Al/Al2O3 composite has been investigated. The mechanical (tensile strength) and wear properties of the reinforced composite are compared with processed and base materials. The response surface method has been used to determine the effect of the input parameters on the tensile strength and wear rate. In addition, by using analysis of variance, the optimal levels of the parameters have been specified to achieve maximum strength and minimum wear. The obtained results showed that adding the alumina powder significantly increases the strength and wear resistance, and can also make the microstructure uniform. In addition, by examining the optimal results, it was found that by selecting the rotational speed of 1200 rpm, the feed rate of 40 mm/min, and 0.6 g of alumina powder, the highest strength (384 MPa) and the lowest wear rate (7.4 mm3/min) can be achieved for the processed composite sample.
Modanloo, V. and elyasi, E. (2025). Statistical modeling of friction stir processing of Al/Al2O3 composite. Journal of Modeling in Engineering, (), -. doi: 10.22075/jme.2025.34648.2697
MLA
Modanloo, V. , and elyasi, E. . "Statistical modeling of friction stir processing of Al/Al2O3 composite", Journal of Modeling in Engineering, , , 2025, -. doi: 10.22075/jme.2025.34648.2697
HARVARD
Modanloo, V., elyasi, E. (2025). 'Statistical modeling of friction stir processing of Al/Al2O3 composite', Journal of Modeling in Engineering, (), pp. -. doi: 10.22075/jme.2025.34648.2697
CHICAGO
V. Modanloo and E. elyasi, "Statistical modeling of friction stir processing of Al/Al2O3 composite," Journal of Modeling in Engineering, (2025): -, doi: 10.22075/jme.2025.34648.2697
VANCOUVER
Modanloo, V., elyasi, E. Statistical modeling of friction stir processing of Al/Al2O3 composite. Journal of Modeling in Engineering, 2025; (): -. doi: 10.22075/jme.2025.34648.2697