scholarly journals Simulation Research on Deep Drawing Process of Box-Shaped Parts of 2B06-O Aluminum Alloy

2015 ◽  
Author(s):  
Hai-Zhao Ma
Keyword(s):  
Aluminum Alloy ◽  
Deep Drawing ◽  
Drawing Process ◽  
Simulation Research ◽  
Deep Drawing Process

Effect of the Blank-Holding Load on the Drawing Force in the Deep-Drawing Process of Cylindrical and Square Cups

2015 ◽  
Vol 760 ◽  
pp. 379-384 ◽  
Author(s):  
Lucian Lazarescu ◽  
Ioan Nicodim ◽  
Dan Sorin Comsa ◽  
Dorel Banabic
Keyword(s):  
Aluminum Alloy ◽  
Deep Drawing ◽  
The Other ◽  
Drawing Process ◽  
Drawing Force ◽  
Forming Process ◽  
Deep Drawing Process ◽  
Steel Sheets ◽  
Other Hand ◽  
Blank Holding Force

In this study, the influence of the blank-holding force (BHF) on the drawing force (DF) in the deep-drawing process of cylindrical and square cups has been investigated experimentally. For this purpose, different constant and variable BHFs have been applied to AA6016-T4 aluminum alloy and DC04 steel sheets during the forming process. It has been observed that an increased constant BHF leads to an increase of DF. On the other hand, the variable BHF approach, in which the BHF decreases in six steps throughout the punch stroke, reduces the DF.

The Analysis of Multistage Deep Drawing of AA5754 Aluminum Alloy

2010 ◽  
Vol 55 (4) ◽  
pp. 1173-1184 ◽  
Author(s):  
M. Paćko ◽  
M. Dukat ◽  
T. Śleboda ◽  
M. Hojny
Keyword(s):  
Aluminum Alloy ◽  
Numerical Analysis ◽  
Numerical Simulations ◽  
Contact Surface ◽  
Deep Drawing ◽  
Material Flow ◽  
Drawing Process ◽  
Deep Drawing Process ◽  
Side Walls ◽  
Good Agreement

The Analysis of Multistage Deep Drawing of AA5754 Aluminum AlloyThis work is focused on the multistage deep drawing of AA5754 aluminum alloy box-type part with flange. Both experimental and numerical analysis were performed in this study to predict causes of contraction and cracking occurring in deformed product in respect to the changes of friction conditions on tool-drawn part contact surface. The numerical simulations were performed using eta/DYNAFORM software and LS-DYNA® solver. The research showed, that the results of the simulation are in very good agreement with the results of the real multistage deep drawing processes. Moreover, this study showed, that proper conditions of friction on the tool-drawpiece contact surface is crucial for the correctness of the analyzed deep drawing process. Too large friction can restrict the material flow, particularly along the edge connecting the bottom and side-walls of the drawpiece, causing wrinkling and cracking.

Formability Predictions of Deep Drawing Process for Aluminum Alloy A1100-O Sheets by Using Combination FEM with ANN

2012 ◽  
Vol 472-475 ◽  
pp. 781-786
Author(s):  
Duc Toan Nguyen ◽  
Young Suk Kim ◽  
Dong Won Jung
Keyword(s):  
Finite Element ◽  
Aluminum Alloy ◽  
Ductile Fracture ◽  
Deep Drawing ◽  
Fracture Criterion ◽  
Fem Simulation ◽  
Drawing Process ◽  
Ductile Fracture Criterion ◽  
Element Analysis ◽  
Deep Drawing Process

The FEM simulation results of deep drawing process are carried out to create training cases for the artificial neural network (ANN), and then the well-trained ANN(s) is used to predict the formability of aluminum alloy A1100-O sheets. The OYANE’ s ductile fracture criterion equation [J. Mech. Work. Technol. 4 (1980), pp. 65-81] was implemented to predict the formability of deep drawing process. This ductile fracture criterion is introduced and evaluated from the histories of stress and strain calculated by means of finite element analysis in order to get the ductile fracture value (I). The resolution of the results of ductile fracture criterion equations is carried out via a VUMAT user material, using ABAQUS/Explicit finite element code. From the calculative results of FEM simulation with the changing of various parameters, the formability predictions using ANN methodology was investigated by comparing with random case studies of FEM results and shown good agreements

Computer Simulation of Deep Drawing Process for a Laminated Composite Cup

2007 ◽  
Author(s):  
Tushar Naik ◽  
Zhong Hu
Keyword(s):  
Finite Element ◽  
Aluminum Alloy ◽  
Deep Drawing ◽  
Laminated Composites ◽  
Laminated Composite ◽  
Element Model ◽  
Drawing Process ◽  
Forming Process ◽  
Element Analysis ◽  
Deep Drawing Process

The anisotropic nature of laminated composites creates a unique opportunity and also a great challenge for tailoring their behavior during the forming processes according to the design requirements. In this work, design and simulation of a deep drawing process for fiber-reinforced laminated composites were conducted by using finite element analysis. The effects of the fiber orientation and stacking order on the deep drawing process were investigated based on the basic understanding of forming process of the isotropic aluminum alloy (Al-1100) and laminated composite material (Grilon RVZ-15H nylon/glass). A three dimensional finite element model incorporating layered structural laminates with various fiber orientations was developed. The load-stroke relationship, changes in thickness, and stress-strain distribution were investigated and compared for both aluminum alloy and laminated composites of [0]12, [0/90]6 and [0/90/45/135]3, which can be employed for detailed design and process optimization.

NUMERICAL SIMULATION OF DEEP DRAWING PROCESS OF ALUMINUM ALLOY SHEET USING CRYSTAL PLASTICITY

2008 ◽  
Vol 22 (31n32) ◽  
pp. 5901-5906
Author(s):  
JUNG GIL SHIM ◽  
YOUNG TAG KEUM
Keyword(s):  
Numerical Simulation ◽  
Aluminum Alloy ◽  
Crystal Plasticity ◽  
Deep Drawing ◽  
Texture Evolution ◽  
Material Model ◽  
Alloy Sheet ◽  
Drawing Process ◽  
Aluminum Alloy Sheet ◽  
Deep Drawing Process

In this study, the FEM material model based on the crystal plasticity is introduced for the numerical simulation of deep drawing process of A5052 aluminum alloy sheet. For calculating the deformation and stress in a crystal of aluminum alloy sheet, Taylor's model is employed. To find the texture evolution, the crystallographic orientation is updated by computing the crystal lattice rotation. In order to verify the crystal plasticity-based FEM material model, the strain distribution and the draw-in amount are compared with experimental measurements. The crystal FEM strains agree well with measured strains. The comparison of draw-in amount shows less 1.96% discrepancy. Texture evolution depends on the initial texture.

scholarly journals Prediction of Eight Earings in Deep Drawing of 5754O Aluminum Alloy Sheet

2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Haibo Wang ◽  
Mingliang Men ◽  
Yu Yan ◽  
Min Wan ◽  
Qiang Li
Keyword(s):  
Aluminum Alloy ◽  
Yield Stress ◽  
Deep Drawing ◽  
Yield Function ◽  
Alloy Sheet ◽  
Drawing Process ◽  
Aluminum Alloy Sheet ◽  
Deep Drawing Process ◽  
Anisotropy Index ◽  
Deformation Area

Abstract Earings appear easily during deep drawing of cylindrical parts owing to the anisotropic properties of materials. However, current methods cannot fully utilize the mechanical properties of material, and the number of earings obtained differ with the simulation methods. In order to predict the eight-earing problem in the cylindrical deep drawing of 5754O aluminum alloy sheet, a new method of combining the yield stress and anisotropy index (r-value) to solve the parameters of the Hill48 yield function is proposed. The general formula for the yield stress and r-value in any direction is presented. Taking a 5754O aluminum alloy sheet as an example in this study, the deformation area in deep drawing is divided into several equal sectorial regions based on the anisotropy. The parameters of the Hill48 yield function are solved based on the yield stress and r-value simultaneously for the corresponding deformation area. Finite element simulations of deep drawing based on new and existing methods are carried out for comparison with experimental results. This study provides a convenient and reliable way to predict the formation of eight earings in the deep drawing process, which is expected to be useful in industrial applications. The results of this study lay the foundation for the optimization of the cylindrical deep drawing process, including the optimization of the blank shape to eliminate earing defects on the final product, which is of great importance in the actual production process.

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