Experimental and Numerical Analysis of Springback Behavior of Aluminum Alloys

Slota, Ján; Šiser, Marek; Dvořák, Milan

doi:10.1007/s11223-017-9900-6

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…Also in the industries which produce stampings, such as the automotive industry, accurate predictions of forming process, including stress-strain distribution, springback and thickness are necessary [10]. Today it is feasible to use finite element analysis for a more accurate prediction of the springback effect [11,12]. The finite element analysis (FEA) is a modern tool that can help to achieve more accurate springback predictions [13,14].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Material Models in the Fem Simulation on the Springback Prediction of the Trip Steel

Mulidrán

Spišák²,

Tomáš³

et al. 2021

Acta Metall Slovaca

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In this work, the influence of material models used in the FEM simulation on the springback prediction is investigated. The interest of this paper is to extend the knowledge base regarding springback predictions in numerical simulation. The springback effect of a V-shaped sheet metal part made of TRIP steel, with a thickness of 0.75 mm was investigated. The bending angle was set to 90°. In the numerical simulation, Hill48 and Barlat yield criteria were used in combination with Ludwik's and Swift's hardening models. Achieved data from the numerical simulations were compared and evaluated with experimental test results. The experimental results showed the relation between springback and calibration force. The effect of specimen cut direction on the springback was smaller in comparison with the calibration force. The numerical results of the springback were not identical with the experimentally achieved springback values in most cases. Particularly, when a calibration force of 1 800 N was used in the simulation. The simulation results showed a good correlation between experimental and numerical results, when Hill48 and Barlat yield criteria were used in combination with Ludwik hardening law and calibration force F with the value 900 N was applied.

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Section: Introductionmentioning

confidence: 99%

The Effect of Material Models in the Fem Simulation on the Springback Prediction of the Trip Steel

Mulidrán

Spišák²,

Tomáš³

et al. 2021

Acta Metall Slovaca

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“…It was concluded that besides the Bauschinger effect and Young s modulus, there is also a great effect arising from elastic and plastic anisotropy on the results of springback predictions. The effects of the different yield criterions (Hill48 and Hill90), bending radii and directions on the aluminium alloys springback are described by Slota et al [48].…”

Section: Introductionmentioning

confidence: 99%

Effect of the Computational Model and Mesh Strategy on the Springback Prediction of the Sandwich Material

2022

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The effect of the computational model and mesh strategy on the springback prediction of the thin sandwich material made of micro-alloyed steel was investigated in this paper. To verify the chosen computational strategy, a comparison of the experimentally obtained specimen (U-bending) with the FEA result was performed. The Vegter yield criterion combined both with the isotropic and kinematic hardening law was used for the calculation. In addition, the effect of the deformation mesh element (surface and volume) on the accuracy of the springback prediction was investigated. It was concluded that the choice of the volume deformation mesh does not significantly improve the accuracy of the results. Moreover, it is quite a time-consuming approach. The much greater influence was monitored by concerning the selection of hardening law, where the anisotropic one was more suitable to be used on the springback prediction of a given sandwich material.

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“…Spring-go or spring-back phenomena were investigated on different materials by Thipprakmas et al [14], Ouakdi et al [22], Hakan et al [24], Syeed et al [27], Krinninger et al [29], Slota et al [34] using nite element m e t h o d a n d / o r t h r o u g h e x p e r i m e t s . Lawanwomg et al tried [26] to eliminate spring-back by employing a novel technology in HSS sheet U-die bending where the bottom plate was additionaly bent with a counterpunch at the nal stage of U-bending.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Spring-Back Effect of Galvanized Iron Sheet

Pandit

Das

2021

RTJ

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Sheet metal bending is a useful process utilized in varying applications. Investigations in sheet bending nd its importance as it is subjected to spring-back upon withdrawal of load and it differs based on material property and its size, etc. Therefore, maintaining speci cation of a bent object requires appropriate strategy to adopt. In this work, in uence of thickness of galvanised iron sheet metal, punch radius and die corner radius on spring-back is considered. Three different values are taken for punch radius, die corner radius and thickness. Experiments are designed according to response surface methodology (RSM) and analysed by ANOVA technique. From various contour plots and surface plots, it is observed that sheet thickness has signi cant effect on springback. In uence of other two parameters is comparatively less if considered individually, but the combined effect is quite signi cant.

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Experimental and Numerical Analysis of Springback Behavior of Aluminum Alloys

Cited by 9 publications

References 11 publications

The Effect of Material Models in the Fem Simulation on the Springback Prediction of the Trip Steel

The Effect of Material Models in the Fem Simulation on the Springback Prediction of the Trip Steel

Effect of the Computational Model and Mesh Strategy on the Springback Prediction of the Sandwich Material

Investigation on Spring-Back Effect of Galvanized Iron Sheet

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