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Providing Regression Models for Predicting the Springback of Al1050 Reinforced with Carbon, Kevlar and Glass Woven Fiber | ||
| Iranian Journal of Materials Forming | ||
| دوره 11، شماره 3، 2024، صفحه 40-49 اصل مقاله (1.46 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22099/ijmf.2024.51489.1307 | ||
| نویسندگان | ||
| S. Moradi؛ B. Ranjbar؛ V. Moradi؛ A. Adelkhani* | ||
| Department of Mechanical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran | ||
| چکیده | ||
| Fiber metal layered composites (FMLCs) are widely used in industries such as aerospace due to their superior mechanical properties and lightweight nature. Compared to aluminum alloys and composite materials, FMLCs offer better properties. In this study, three-layer samples were made with Al1050 on the outer layers and Kevlar, carbon, and glass fibers as the core. The bending properties of these FMLCs were analyzed both numerically and experimentally. The experimental samples were made using different fibers with two angles of 0 ̊- 90 ̊ and ±45 ̊. Springback was investigated using a U-shaped bending die. The effects of punch speed (V), fibers angle (Ɵ), and punch radius (RP) on the springback (Sb) of the samples were evaluated. The experimental and simulation results indicate that reducing punch radius and speed leads to a decrease in springback. Furthermore, springback was lower in 0 ̊- 90 ̊ samples compared to the ±45 ̊ ones. Based on the findings, three regression models were developed for springback prediction and the models demonstrated acceptable accuracy. | ||
| کلیدواژهها | ||
| Regression model؛ Bending؛ Springback؛ FML؛ Kevlar | ||
| مراجع | ||
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