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Eser Yarar,A. Tamer Erturk,Sedat Karabay 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.8
Surface mechanical attrition treatment (SMAT) is a method that enhances the mechanical properties of metallic materialsby generating a thin nanostructured layer on the top surface. In this study, single-shot impact behavior was modeled for the7075-T6 aluminum alloy to reach maximum values of equivalent stress, plastic strain, deformation depth, residual stressdepth, and residual stress. Finite element simulations have been carried out to analyze the efect of selected parameters onstress and strains in the component. For simulating the SMAT process, a rigid sphere on a rectangular component is modeledusing ANSYS/AUTODYN explicit dynamic solver. The plastic deformation process during SMAT was analyzed accordingto shot velocity and diameter with a dynamic explicit fnite element method (FEM). The response surface methodologywas used to evaluate the parametric results for the SMAT process. In addition, deformation behavior was evaluated after asingle-shot impact according to the restitution coefcient.
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S. Bahadır Yüksel,Alpaslan Yarar 국제구조공학회 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.56 No.5
When the temperature of a structure varies, there is a tendency to produce changes in the shape of the structure. The resulting actions may be of considerable importance in the analysis of the structures having non-prismatic members. The computation of design forces for the non-prismatic beams having symmetrical parabolic haunches (NBSPH) is fairly difficult because of the parabolic change of the cross section. Due to their non-prismatic geometrical configuration, their assessment, particularly the computation of fixed-end horizontal forces and fixed-end moments becomes a complex problem. In this study, the efficiency of the Artificial Neural Networks (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) in predicting the design forces and the design moments of the NBSPH due to temperature changes was investigated. Previously obtained finite element analyses results in the literature were used to train and test the ANN and ANFIS models. The performances of the different models were evaluated by comparing the corresponding values of mean squared errors (MSE) and decisive coefficients (R2). In addition to this, the comparison of ANN and ANFIS with traditional methods was made by setting up Linear-regression (LR) model.
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A. Tamer Erturk,M. Enes Bulduk,Gürkan Tarakçi,Gökhan Özer,Eser Yarar 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.1
This study includes experimental research conducted to produce lattice structures and to examine their mechanical properties by taking advantage of the design freedom provided by additive manufacturing. Much of the existing literature involvesmainly process parameters on mechanical behaviors. Thus, more lattice geometry studies are needed. In this study, diferentlattice structures designed according to the unit cell types selected through the SpaceClaim program were produced usingAlSi10Mg powder material with the laser powder bed fusion (LPBF) method the metal additive manufacturing productionmethods. Cell sizes, Maxwell criterion, relative densities, and mechanical behaviors under semi-static compression forcewere investigated. It was concluded that with increasing relative density, the strength increased, and the structures withstress-dominating were more resistant than those with bending-dominating strength. It was determined that the mechanicalproperties of lattices depended on unit cell design and LPBF process parameters. The C1 and C2 coefcients of latticesproduced by the LPBF process included in the Gibson and Ashby equation were determined.
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