Hydrodynamic deep drawing of double layered conical cups

Jalil, Alireza; Gollo, M. Hoseinpour; Sheikhi, Mohammad Morad; Seyedkashi, S. M. H.

doi:10.1016/s1003-6326(16)64109-2

Cited by 24 publications

(11 citation statements)

References 14 publications

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“…The utilization of flexible media in the deep drawing process has received increasing attention due to the multitude of its advantages such as improving sheet forming performance, forming efficiency, and convenient in mold changing. Hence, to surmount the difficulty in forming thin-walled aluminum alloy components, a better choice would be the hydrodynamic deep drawing (HDD) process [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…Azodi et al [26] developed analytical models based on the Barlat'89 and Hill's non-quadratic yield criteria in the HMDD process to predict the maximum permissible fluid pressure with assuming plane strain tensile failure. Jalil et al [3] developed theoretical models using the Barlat'89 yield criterion to analyze the critical bursting pressure in HDD of single-and double-layer sheets. According to the abovementioned research, it is generally believed that the Hill'48 and the Barlat'89 yield criteria can roughly describe the anisotropic plastic property of sheet metal, such as carbon steel and stainless steel, yet is unreasonable for the HDD process of aluminum alloys.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

Wang

Meng

et al. 2020

Metals

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Owing to the reduction of rupture instability and the avoidance of wrinkle defect, the hydrodynamic deep drawing (HDD) process is gradually becoming attractive for fabricating lightweight and complicated products. Meanwhile, since metallic materials present anisotropic deformation behavior, it is necessary to select an appropriate constitutive model for the prediction of plastic deformation behavior of applied material with high precision. In the present research, several anisotropic yield criteria, namely, Hill’48, Yld2000-2d, and BBC2005, were implemented to investigate the effects of yield functions on the prediction accuracy of the critical process window and deformation behavior for the HDD process of 2024 and 5754 aluminum alloys. Material constants in the yield criteria were determined by applying uniaxial and equi-biaxial tension tests and optimizing an error-function using the Levenberg–Marquardt algorithm. Furthermore, the process window diagram was computed utilizing the stress analytical model combined material properties with workpiece geometrical features. Numerical simulation results of predicted material anisotropic parameters, process window, and HDD deformation for aluminum alloys were compared with the experimental data. Through the comparison of diverse yield criteria based on materials’ anisotropic coefficients, critical process window prediction, earing profile, and thickness distribution, it was revealed that the Yld2000-2d and the BBC2005 yield criteria can offer more precise models of material behavior in planar anisotropy properties for the HDD process of 2024 and 5754 aluminum alloys.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

Wang

Meng

et al. 2020

Metals

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“…In addition to the difficulties in the production of composite panels, the production of laminates is also a challenging and complicated process due to the presence of metal and composite together and their different mechanical and thermal properties. Different forming methods have been proposed to overcome the mentioned problems, reduce the costs, and increase the production rate of laminates [3][4][5]. Using a forming process, first the flat multilayer sheets are produced instead of final multilayer products.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on forming of nanoclay-reinforced metal–composite laminates using deep drawing process

Boroumad

Seyedkashi

Pol

2020

J Braz. Soc. Mech. Sci. Eng.

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Forming of metal-nanocomposite laminates, including nanoclay-reinforced polypropylene and glass fiber as the core layer, and aluminum 1050-O as the skin layer, is studied. The effect of different weight percentages of nanoclay particles in the matrix, including 0, 1, 3, 5 and 7 wt%, is investigated on the drawing depth and drawing force during the deep drawing process. The results show that by the addition of nanoclay particles, the drawing force and depth increase at first and then decrease. The highest drawing force is obtained in 3 wt% nanoclay and the highest drawing depth in 1 wt%. Besides, the lowest drawing force and depth were obtained in 7 wt% nanoclay. Comparison of the strains on the outer layers shows that the highest strain values could be observed in 1 wt%. Strains decrease due to the increase in nanoclay particles, so that the strain in 5 and 7 wt% is even less than the pure sample.

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“…The deep drawing parameters such as punch temperature, punch speed and die curvature radius have been optimized to maximize the limit drawing radio of the composite sheets at temperatures ranging from 150 °C to 230 °C. Alireza JALIL and at el [15] proposed a theoretical model to calculate the critical rupture pressure in production of double layered conical parts with hydrodynamic deep drawing process assisted by radial pressure. The effects of other process parameters on critical rupture pressure, such as punch tip radius, drawing ratio, coefficient of friction, sheet thickness and material properties were also discussed.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Deep Drawing Process of the Functionally Graded Sheet

Hashempoor¹

2019

MJMIE

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In this paper, deep drawing process of functionally graded sheet is investigated analytically and using finite element method. Using equations for deep drawing of isotropic sheets and governing equations of functionally graded materials, equations for deep drawing of functionally graded sheets are derived. Mechanical properties of the functionally graded sheet vary through the thickness of it according to the exponential law distribution. Punch force and axial stresses at the wall are calculated by this analytical method. Also, using this force in abaqus software, axial stresses at the wall are determined. The results of two methods were compared with each other and good agreement was obtained.

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Hydrodynamic deep drawing of double layered conical cups

Cited by 24 publications

References 14 publications

Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

Experimental study on forming of nanoclay-reinforced metal–composite laminates using deep drawing process

Simulation and Analysis of Deep Drawing Process of the Functionally Graded Sheet

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