Optimization of input process parameters for Al 2024 alloy in cold extrusion process

Anupama Francy, K.; Sai Sudheer, S.V.; Naga Krishna, N.; Gopalakrishnaih, P.

doi:10.1016/j.matpr.2023.05.427

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…The feasibility of the optimization method is verified [26,27]. Francy et al optimized the extrusion parameters based on the Taguchi method for aluminum alloy cold extrusion forming, and verified the theoretical results, and concluded that the extrusion ratio is the most significant factor affecting the extrusion pressure [28]. Based on finite element numerical simulation, Li et al took the extrusion pressure and velocity field standard deviation as optimization objectives to study the extrusion deformation behavior of 2195Al-Li alloy, and obtained the best combination of extrusion process parameters [29].…”

Section: Introductionmentioning

confidence: 91%

Buckling Defect Optimization of Constrained Ring Rolling of Thin-Walled Conical Rings with Inner High Ribs Combining Response Surface Method with FEM

Feng,

Zhao

2024

Metals

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A buckling defect will appear on the outer surface of the deformed ring during the constrained ring rolling (CRR) of an aluminum alloy thin-wall conical ring with inner high ribs (AATWCRIHR) if the geometrical dimension of the ribs does not match the wall thickness. To avoid the buckling defect, a quantitative method for characterizing the degree of the buckling defect is proposed using the area of the buckling profile. Then, an orthogonal experimental scheme was designed, taking the width of the middle rib, thickness of wall, and height of the middle rib as the design variables and defining the area of the buckling profile as the optimization objective. Subsequently, a quadratic polynomial response surface model was established by combining the optimization algorithm with the finite element method (FEM), and the geometrical dimension of the middle ribs of the deformed AATWCRIHR is optimized. Moreover, the optimal parameter combination to minimize the area of the buckling profile is obtained and verified using FE simulation. The results show that the AATWCRIHR after optimization does not generate the buckling defect during constrained ring rolling, and it is proven that the quantitative buckling defect representation method and the optimization design method based on the response surface model and the finite element simulation results are feasible for the constrained ring-rolling process of the AATWCRIHR.

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