Experimental and finite element study on the spring back of double curved aluminum/polypropylene/aluminum sandwich sheet

Parsa, Mohammad Habibi; Ahkami, S. Nasher Al; Ettehad, Mahmood

doi:10.1016/j.matdes.2010.04.024

Cited by 58 publications

(21 citation statements)

References 39 publications

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“…As the sheet moves upwards due to inertial forces it collides with the surface of the die and bounces back to a certain height. Spring back phenomena occur when all types of forces diminish and it can be minimized by making appropriate changes in die geometry (Parsa et al, 2010) or by raising the temperature of the workpiece material (Moon et al, 2003). Strain hardening effect is sensitive to strain rate in high-speed forming.…”

Section: Deformation Of the Aluminium Alloy (Al 6061-t6) Sheetmentioning

confidence: 99%

Numerical and experimental investigation of the effect of process parameters on sheet deformation during the electromagnetic forming of AA6061-T6 alloy

Khan

Jaffery

et al. 2020

Mech. Sci.

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Abstract. Electromagnetic forming is a high-speed sheet metal forming technique to form metallic sheets by applying magnetic forces. In comparison to the conventional sheet metal forming process, electromagnetic forming is a process with an extremely high velocity and strain rate, which can be effectively used for the forming of certain difficult-to-form metals. During electromagnetic forming, it is important to recognise the effects of process parameters on the deformation and sheet thickness variation of the sheet metal. This research focuses on the development of a numerical model for aluminium alloy (AA6061-T6) to analyse the effects of three process parameters, namely voltage, sheet thickness and number turns of the coils, on the deformation and thickness variation of the sheet. A two-dimensional fully coupled finite-element (FE) model consisting of an electrical circuit, magnetic field and solid mechanics was developed and used to determine the effect of changing magnetic flux and system inductance on sheet deformation. Experiment validation of the results was performed on a 28 KJ electromagnetic forming system. The Taguchi orthogonal array approach was used for the design of experiments using the three input parameters (voltage, sheet thickness and number of turns of the coil). The maximum error between numerical and experimental values for sheet thickness variation was observed to be 4.9 %. Analysis of variance (ANOVA) was performed on the experimental results. Applied voltage and sheet thickness were the significant parameters, while the number of turns of the coil had an insignificant effect on sheet deformation. The contribution ratio of voltage and sheet thickness was 46.21 % and 45.12 % respectively. The sheet deformation from simulations was found to be in good agreement with the experimental results.

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Section: Deformation Of the Aluminium Alloy (Al 6061-t6) Sheetmentioning

confidence: 99%

Numerical and experimental investigation of the effect of process parameters on sheet deformation during the electromagnetic forming of AA6061-T6 alloy

Khan

Jaffery

et al. 2020

Mech. Sci.

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“…In another research, the effects of significant parameters on spring-back in U-die and V-die bending of anisotropic steel sheet were studied by experiments and numerical simulations [9]. In [10], the results of spring back evaluation of AA3105/polypropylene/AA3105 sandwich sheet materials have been done after being subjected to double-curvature forming. The influence of some geometrical parameters on springback such as thickness of sandwich sheet and tool curvatures radii has been evaluated.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Springback Variation in V Bending

Gautam¹,

Kumar²,

Chandra³

et al. 2016

IJERT

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In order to get exact shape and size of components in sheet metal manufacturing, springback effect plays a pivotal role. Prediction of springback angle helps in determining the amount of over-bend (i.e. springback compensation) required so that exact V bend angle can be obtained in the component. In this study an attempt has been done to analyze the springback effect for simple V-bending operation performed on CRDQ (Cold Rolled Draw Quality) with thickness of sheet varying from 2.0 to 4.0 mm. In this work Hyperform software is used for simulating the springback effect in V bending operation. The main objective is to get the variation of amount of springback for different thickness of sheets keeping bending angle (60 0) and punch radius (2mm) constant. The results showed that the value of springback decreases with the increase in sheet thickness (from 2 mm) up till 3.3 mm. Further increase in sheet thickness, from 3.3 mm to 4.0 mm, increases the amount of springback for V-bending of CRDQ sheet. Thus, it is concluded that optimum sheet thickness to encounter minimum springback for CRDQ sheet is 3.3 mm.

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“…This release of energy is the driving force for spring-back of sheet metal forming. Springback may introduce surface distortions and unexpected out of shape tolerances that may cause not only deviations from the designed target shape but also can lead to the assembly problems [6]. Therefore it is essential to achieve minimum springback.…”

Section: Springbackmentioning

confidence: 99%

Multi Objective Optimization of Deep Drawing of AA 6061 Sheet Material

Raju¹,

Tjprc²

2015

IJIET

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The performance of a manufactured product is often characterized by a group of responses. These responses in general are correlated and measured via a different measurement scale. This problem is regarded as a multi-response optimization problem, subject to different response requirements. The dimensionality reduction strategy is one of the numerical techniques for the optimization of multiple responses. It aggregates multiple responses into a single dimensionless measure called desirability function. In this study, the results of the three research articles, each considering three different single responses, namely springback, thickness variation and punch force, published by the same author have been taken for multi-objective optimization using desirability function approach for the three responses namely springback, Signal to noise ratio representing the thickness variation and punch force. The results were then compared.

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Experimental and finite element study on the spring back of double curved aluminum/polypropylene/aluminum sandwich sheet

Cited by 58 publications

References 39 publications

Numerical and experimental investigation of the effect of process parameters on sheet deformation during the electromagnetic forming of AA6061-T6 alloy

Numerical and experimental investigation of the effect of process parameters on sheet deformation during the electromagnetic forming of AA6061-T6 alloy

Analysis of Springback Variation in V Bending

Multi Objective Optimization of Deep Drawing of AA 6061 Sheet Material

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