ABSTRACT
In this study, experimental investigation and numerical simulation U-bending process are employed to construct a damage model based on ductile damage criteria. Also, an adaptive neural-fuzzy inference system (ANFIS) is extracted for the prediction of damage behavior based on the Cockroft-Latham and modified Mohr-Coulomb criteria calibrated using the proposed method. Appropriate calibration tests including uniaxial tension up to the in-plane shear tension are designed based on the bending deformation mechanics. In addition, the optimal parameters of the ANFIS system are obtained by the gray wolf optimization algorithm. The accuracy of the proposed model is investigated using experimental-numerical results. Results indicate that both the proposed damage model and ANFIS network are successful in predicting the damage behavior in the U-bending process. In addition, the maximum bending angle to achieve a damage index of less than 1 in the ratio of bending radius to sheet thicknesses of 0.5, 1, 2, and 3 is presented using the model presented in this study. According to the results, the minimum applicable ratio of bending radius to thickness is equal to 3 for when the sheet metal bends up to 90 degrees.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Hossein Talebi-Ghadikolaee
Hossein Talebi-Ghadikolaee received his B.Sc., and M.Sc. degrees in Mechanical Engineering from Babol Noshirvani University of Technology in 2013 and 2015, respectively, and Ph.D. degree in Mechanical Engineering, Tarbiat Modares University, Tehran, Iran, in 2019. He is currently an assistant professor in the faculty of Mechanical Engineering at University of Kashan, Iran. His main research interests are plasticity theory, sheet metal forming process, ductile fracture, deformation mechanics, and ductile damage analysis.
Hassan Moslemi Naeini
Hassan Moslemi Naeini is a Professor in the Mechanical Engineering Department at Tarbiat Modares University, Tehran, Iran. He received Ph.D degree in Mechanical Engineering from the University of Tokyo, Tokyo, Japan in 2000. He is a professor at Tarbiat Modares University, Tehran, Iran. His areas of research are sheet metal forming and roll forming.
Amir Hossein Rabiee
Amir Hossein Rabiee received his M.S. and Ph.D. degrees in Mechanical Engineering from Iran University of Science and Technology in 2011 and 2017. He is an assistant professor at Arak University of Technology, Iran. His research interests focus on active and semi-active vibration control, data science, and intelligent control systems.
Ali Zeinolabedin Beygi
Ali Zeinolabedin Beygi received his B.S. degree from the Arak University of Technology, Arak, Iran in 2019. He has also done the M.S. in Tarbiat Modares University, Tehran, Iran, and received this degree in 2022. Currently, he works as an adjunct lecturer at Shahid Rajaee Teacher Training University, Tehran, Iran. His research areas are metal forming and numerical analysis by ABAQUS software.
Sergei Alexandrov
Sergei Alexandrov is a research professor at the Ishlinsky Institute for Problems of Mechanics of Russian Academy of Sciences. He received his PhD in Physics and Mathematics in 1990 and DSc in Physics and Mathematics in 1994. He worked as a professor at Moscow Aviation Technology Technical University (Russia), a visiting scientist at ALCOA Technical Center (USA), GKSS Research Centre (Germany), Seoul National University (South Korea) and National Chung Cheng University (Taiwan), and a visiting professor at National San Yat Sen University (Taiwan) University of Franche-Comte (France). His research areas are plasticity theory, fracture mechanics, and their applications to metal forming and structural mechanics. He is a member of the Russian National Committee on Theoretical and Applied Mechanics.