Abstract

In this paper, the uniaxial loading–unloading–reloading (LUR) tensile test was conducted to determine the elastic modulus depending on the plastic pre-strain. To obtain the material parameters and parameter of Yoshida-Uemori’s kinematic hardening models, tension–compression experiments were carried out. The experimental results of the cyclic loading tests together with the numerically predicted response of the plastic behavior were utilized to determine the parameters using the Ls-opt optimization tool. The springback phenomenon is a critical issue in industrial sheet metal forming processes, which could affect the quality of the product. Therefore, it is necessary to represent a method to predict the springback. To achieve this aim, the calibrated plasticity models based on appropriate tests (cyclic loading) were implemented in commercial finite element (FE) code Ls-dyna to predict the springback in the roll forming process. Moreover, appropriate experimental tests were performed to validate the numerical results, which were obtained by the proposed model. The results showed that the hardening models and the variation of elastic modulus have significant impact on springback accuracy. The Yoshida-Uemori’s hardening represents more accurate prediction of the springback during the roll forming process when compared to isotropic hardening. Using the chord modulus to determine the reduction in elastic modulus gave more accurate results to predict springback when compared with the unloading and loading modulus to both hardening models.

Highlights

  • A phenomenological plasticity model is made up of several ingredients such as a hardening law.The variation of elastic modulus has an important effect on springback prediction accuracy.Sheet metal forming processes like roll forming, bending, stretching, deep drawing [1] and stamping are widely used in the production processes, especially in the automobile industries [2].The management of sheet properties can be successfully implemented by creating a special internal architecture, for example, by differential heat treatment [3].Getting a product without causing defects that may happen during or after the process such as wrinkling, surface distortion, and springback is considered to be an essential problem in sheet metal forming processes

  • The results showed that the reduction of elastic modulus with pre-strain significantly influences springback in the roll forming of high strength steel alloys (HSS) alloys compared to when a softer steel is formed

  • This paper presents an effective method for improving the numerical prediction of

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Summary

Introduction

A phenomenological plasticity model is made up of several ingredients such as a hardening law. The FE code JSTAMP/Ls-dyna was used for implementing the established process simulation and springback prediction that takes place in an automobile body panel by Hu et al [15] In this situation, the Yoshida-Uemori’s model was chosen to identify the anisotropic material behavior of sheet metal in the course of deformation. This work is a new study to investigate the effect of both the variation of elastic modulus with pre-strain using the loading, unloading, and chord modulus approaches to determine the change in elastic modulus and the hardening law on springback in roll forming to develop the finite element (FE) simulation and control the springback to an acceptable level. The numerically predicted value of the springback was validated by the roll forming experiments

Defining the Elastic Modulus Change
Uniaxial
Definition
According
Uniaxial Tensile
Yoshida-Uemori Model and Cyclic Tension–Compression Test
Experimental Tests
Experimental
Results and Discussion
Conclusions
Full Text
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