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Öğe Enhancing topology optimization for multi-objective using sheet-based TPMS and CFRP: an ANN and NSGA-II approach(Emerald Group Publishing Ltd, 2025) Kofoglu, Muhammed; Yunus, Doruk ErdemPurpose - This study aims to enhance a decision-support system that offers optimum solutions to obtain the optimal topology using a sheet-based triply periodic minimal surface (TPMS) and carbon fiber-reinforced polymer (CFRP). Design/methodology/approach - Within the scope of this study, the mechanical responses resulted by changing the orientation, type, size, relative density and graded relative density of the unit cells likewise the number of composite layers were examined. Wrapped around the sheetbased TPMSs, the CFRP allowed the lattices to absorb more energy during deformation, maintaining their shape integrity. An artificial neural network (ANN) was trained to reveal the relationships between the design parameters and mechanical properties. Findings - According to SHAP values, the highest significance in the ANN model was determined as mass, graded relative density, cell size and number of composite layers. The significance of mass was greater than the sum of the importance of the other design parameters. An approximately linear relationship existed between the design parameters and peak crushing force, mean crushing force, energy absorption and plateau stresses, whereas specific energy absorption (SEA) and crushing load efficiency (CLE) had a complex relationship. Originality/value - The non-dominated sorting genetic algorithm-II (NSGA-II) was used to find the optimum solution from the complex relationship between the design parameters and SEA and CLE. Design parameters for optimum crashworthiness were determined using NSGA-II, a heuristic optimization method using an ANN as the objective function.Öğe Lattice optimization of fiber-reinforced polymer parts fabricated by additive manufacturing: the impact of Bezier curve order on mechanical properties(Emerald Group Publishing Ltd, 2024) Kofoglu, Muhammed; Yunus, Doruk Erdem; Ercan, NecatiPurposeLattice structures are widely used for achieving optimal topology in additive manufacturing. However, the use of different lattices in a single design can result in stress concentrations at the transition points. This study aims to investigate the influence of Bezier curves on mechanical properties during the transformation from one lattice structure to another. It specifically focuses on the transition from a hexagonal to diamond lattice, using Bezier curves of various orders.Design/methodology/approachThe curves were designed by passing them through the same control points for different orders, such as third, fifth and seventh. The samples were sliced for 3D printing, and a tensile test was conducted. Young's modulus and energy absorption abilities were measured to compare the mechanical properties of the models created with Bezier curves for the transformation between hexagonal and diamond models.FindingsThe analysis revealed a gradual change in mechanical properties from the hexagonal to the diamond lattice. Moreover, different orders of Bezier curves exhibited varying mechanical properties during the transformation between the two lattices. As the order of the Bezier curve increased, the mechanical properties smoothly changed from the hexagonal to diamond lattice. This prevented stress concentrations or mechanical behavior mismatch caused by sudden deformations at the transitions between the curves used in the design.Originality/valueThe study's innovative use of Bezier curves of different orders to smoothly transformation between hexagonal and diamond lattices in additive manufacturing offers a practical solution to prevent stress concentrations and mechanical inconsistencies during such design transitions.












