IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Springback Prediction Using Finite Element Simulation Incorporated With Hardening Data Acquired From Cyclic Loading Tool

Springback Prediction Using Finite Element Simulation Incorporated With Hardening Data Acquired From Cyclic Loading Tool
View Sample PDF
Author(s): Jasri Mohamad (Faculty of Mechanical Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)and Mohd Zaidi Sidek (Universiti Malaysia Pahang, Pekan, Malaysia)
Copyright: 2019
Volume: 6
Issue: 1
Pages: 21
Source title: International Journal of Materials Forming and Machining Processes (IJMFMP)
Editor(s)-in-Chief: J. Paulo Davim (University of Aveiro, Portugal)
DOI: 10.4018/IJMFMP.2019010102

Purchase


Abstract

The aims of this article are to present the accuracy of springback prediction in U-bending sheet metal forming processes using finite element (FE) simulation incorporated with kinematics or mixed hardening parameters that are derived from cyclic data provided by the developed cyclic loading tool. The FE simulation results in the form of springback angles are compared with the experimental results for validation. It was found that the mixed hardening model provides better simulation results in predicting springback. This is due to the capability of the isotropic hardening part of this model to describe cyclic transient and the kinematic hardening part to improve description of the Bauschinger effect. Kinematic hardening however, on its own is capable of providing relatively good springback simulation illustrated by errors of less than 8 percent. Overall, the data provided by cyclic loading from the newly developed bending-unbending tool is considered valuable for simulating springback prediction.

Related Content

Sarojini Jajimoggala. © 2019. 18 pages.
Jasri Mohamad, Mohd Zaidi Sidek. © 2019. 21 pages.
Md Israr Equbal, Azhar Equbal, Md. Asif Equbal, R. K. Ohdar. © 2019. 13 pages.
Arumugam Mahamani. © 2019. 22 pages.
Shashikanth Ch, G Venkateswarlu, Davidson M J. © 2019. 14 pages.
Premangshu Mukhopadhyay, Debashish Biswas, Biplab Ranjan Sarkar, Biswanath Doloi, Bijoy Bhattacharyya. © 2019. 16 pages.
Baliram Rajaram Jadhav, M. S. Sohani, Shailesh Shirguppikar. © 2019. 13 pages.
Body Bottom