Springback investigation of anisotropic aluminum alloy sheet with a mixed hardening rule and Barlat yield criteria in sheet metal forming

With the development of lightweight vehicles, aluminum alloy sheets are increasingly used in the automotive field. However, the aluminum alloy sheet has poor forming performance at room temperature. Therefore, how to improve the sheet metal forming performance of aluminum alloy sheet has become one of the current research hotspots. In this paper, the effects of different lubricants on the deep drawing forming properties of 6061 aluminum alloy sheets were studied by cupping experiments. The effects of lubricants on the deep drawing of sheet metal forming and the wall thickness of cups after deep drawing were explored. The results show that under the condition of drawing speed of 3MPa and 200mm/min, the ultimate drawing ratio of the sheet under oil lubrication is 1.92, and the PTFE film is 2.16. Grease and graphite lubrication are respectively 2.12 and 2.03, using PTFE film lubrication can increase by about 10% contrast with the oil lubrication. The measurement of the wall thickness of the cup under the forming limit state shows that the position with the largest reduction rate appears in the rounded transition zone, and the wall portion of the cylindrical member increases with the height of the wall, and the thickness from the bottom of the cup to the bottom of the cup. The edges all show a trend of decreasing first and then increasing.

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A 3D phenomenological yield function with both in and out-of-plane mechanical anisotropy using full-field crystal plasticity spectral method for modelling sheet metal forming of strong textured aluminum alloy

International Journal of Solids and Structures ◽

10.1016/j.ijsolstr.2020.02.008 ◽

2020 ◽

Vol 193-194 ◽

pp. 117-133 ◽

Cited By ~ 2

Author(s):

Wencheng Liu ◽

Bernard K. Chen ◽

Yong Pang ◽

Ali Najafzadeh

Keyword(s):

Aluminum Alloy ◽

Spectral Method ◽

Sheet Metal ◽

Crystal Plasticity ◽

Sheet Metal Forming ◽

Metal Forming ◽

Yield Function ◽

Mechanical Anisotropy ◽

Full Field ◽

Out Of Plane

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Formability enhancement of EN AW-5182 H18 aluminum alloy sheet metal parts in a flash forming process: testing, calibration and evaluation of fracture models

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/418/1/012018 ◽

2018 ◽

Vol 418 ◽

pp. 012018 ◽

Cited By ~ 1

Author(s):

A A Camberg ◽

F Bohner ◽

J Tölle ◽

A Schneidt ◽

S Meiners ◽

...

Keyword(s):

Aluminum Alloy ◽

Sheet Metal ◽

Alloy Sheet ◽

Aluminum Alloy Sheet ◽

Forming Process ◽

Metal Parts ◽

Sheet Metal Parts ◽

Process Testing ◽

Fracture Models

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Effect of the Mechanical Parameters Used as Input Data in the Yield Criteria on the Accuracy of the Finite Element Simulation of Sheet Metal Forming Processes

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.554-557.204 ◽

2013 ◽

Vol 554-557 ◽

pp. 204-209 ◽

Cited By ~ 9

Author(s):

Lucian Lazarescu ◽

Ioan Ciobanu ◽

Ioan Pavel Nicodim ◽

Dan Sorin Comsa ◽

Dorel Banabic

Keyword(s):

Finite Element ◽

Finite Element Simulation ◽

Sheet Metal ◽

Yield Surface ◽

Sheet Metal Forming ◽

Metal Forming ◽

Yield Criteria ◽

Numerical Predictions ◽

Element Simulation ◽

Hydraulic Bulging

The accuracy of the finite element simulation of sheet metal forming processes is mainly influenced by the shape of the yield surface used in the mechanical model and, in particular, by the number of input values used in the identification of the yield surface. This paper investigates the effect of the input values used for identifying the BBC 2005 yield criterion on the accuracy of the finite element predictions. The accuracy assessment of the simulation is based on the comparison of the numerical predictions obtained using the commercially available FE programme AUTOFORM and experimental measurements obtained from the hydraulic bulging of sheet metals. Thickness and strain distributions, as well as the geometry of the bulged specimen were taken as comparison parameters. The accuracy of the finite element predictions obtained using the Hill-48 and Barlat-89 yield criteria is also studied and discussed in comparison with the results provided by the BBC 2005 yield and the experimental data.

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