scholarly journals Optimization and Mapping of the Deep Drawing Force Considering Friction Combination

2021 ◽  
Vol 11 (19) ◽  
pp. 9235
Author(s):  
Hussein Zein ◽  
Osama M. Irfan
Keyword(s):  
Deep Drawing ◽  
Plastic Anisotropy ◽  
Pattern Search ◽  
Geometrical Parameters ◽  
Drawing Process ◽  
Drawing Force ◽  
Element Analysis ◽  
Complex Deformation ◽  
Friction Coefficients ◽  
Deep Drawing Process

Deep drawing is characterized by extremely complex deformation that is influenced by process characteristics such as die and punch shapes, blank shape, blank holding force, material properties, and lubrication. The optimization of the deep drawing process is a challenging issue due to the complicated functions that define and relate the process parameters. However, the optimization is essential to enhance the productivity and the product cost in the deep drawing process. In this paper, a MATLAB toolbox (Pattern Search) was employed to minimize the maximum deep drawing force (Fd-min) at different values of the operating and the geometrical parameters. As a result, a minimum deep drawing force chart (carpet plot) was generated to show the best combination of friction coefficients at the blank contact interfaces. The extracted friction coefficients guided the selection of proper lubricants while minimizing the deep drawing force. A finite element analysis (FEA) was applied through 3D model to simulate the deep drawing process. The material modeling was implemented utilizing the ABAQUS/EXPLICIT program with plastic anisotropy. The optimization results showed that the deep drawing force and the wrinkling decrease when compared with experimental and numerical results from the literature.

Optimization of Deep Drawing Processes Using Statistical Design of Experiments

1996 ◽  
Author(s):  
Dietrich Bauer ◽  
Regine Krebs
Keyword(s):  
Mathematical Model ◽  
Analysis Of Variance ◽  
Orthogonal Array ◽  
Deep Drawing ◽  
Metal Forming ◽  
Drawing Process ◽  
Drawing Force ◽  
Forming Process ◽  
Deep Drawing Process ◽  
Metal Forming Process

Abstract For a deep drawing process some important controllable variables (factors) upon the maximum drawing force are analyzed to find a setting adjustment for these process factors that provides a very low force for the metal forming process. For this investigation an orthogonal array L18 with three-fold replication is used. To find the optimum of the process, the experimental results are analyzed in accordance with the robust-design-method according to Taguchi (Liesegang et. al., 1990). For this purpose, so-called Signal-to-Noise-ratios are calculated. The analysis of variance for this S/N-ratios leads to a mathematical model for the deep drawing process. This model allows to find the pressumed optimal settings of the investigated factors. In the following, a confirmation experiment is carried out by using these optimal settings. The maximum drawing force of the confirmation experiment does not correspond with the confidence interval, which was calculated by analysis of variance techniques. So the predicted optimum of the process does not lead to a metal forming process with very low deep drawing force. The comparison with a full factorial plan shows that there are interactions between the investigated factors. These interactions could not be discovered by the used orthogonal array. Thus the established mathematical model does not describe the relation between the factors and deep drawing force in accordance with the practical deep drawing conditions.

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.

A Study on Initial Blank Design to Minimize Earing in Multi-Stage Deep Drawing Process for Rectangular Cup Using High Strength Steel Material

2013 ◽  
Vol 652-654 ◽  
pp. 1971-1975
Author(s):  
Pan Liu ◽  
Tae Wan Ku ◽  
Beom Soo Kang
Keyword(s):  
Deep Drawing ◽  
Sheet Material ◽  
Simulation Models ◽  
Drawing Process ◽  
Element Analysis ◽  
Normal Anisotropy ◽  
Deep Drawing Process ◽  
Initial Blank ◽  
Multi Stage ◽  
Blank Shape

Multi-stage deep drawing process for rectangular cups with extreme aspect ratio using finite element analysis is performed. The process is mainly consists of four forming stages including blanking, drawing, ironing and trimming. However, main deformation of the rectangular cup is completed during the drawing-ironing procedure. Tool design and blank modification for the multi-stage deep drawing process are presented. To consider the deep drawing and the ironing operations, the multi-stage deep drawing process is applied to obtain the rectangular cup by using each numerical simulation models from first to fifth drawing. Based on the design results of the initial blank, the multi-stage deep drawing process is performed, but it is shown that severe earing phenomenon is occurred at the upper flange part. To solve the severe deformation at the upper flange due to normal anisotropy of the used sheet material, initial blank modification is carried out. The simulation results for the rectangular cup are compared with the final configuration before and after the modification of the blank shape. The predicted result is confirmed that the modified blank shape not only improve the quality of a deep-drawn product but also reduce the cost of production.

Finite Element Analysis and Experimental Validation of Warm Hydromechanical Deep Drawing Process

2014 ◽  
Vol 686 ◽  
pp. 535-539
Author(s):  
Dogan Acar ◽  
Mevlut Turkoz ◽  
Hasan Gedikli ◽  
Omer Necati Cora
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Deep Drawing ◽  
Drawing Process ◽  
Element Analysis ◽  
Deep Drawing Process ◽  
Hydromechanical Deep Drawing ◽  
Fea Model ◽  
Real Process ◽  
Lightweight Alloys

This study intended to establish finite element analysis (FEA) model of warm hydro mechanical deep drawing process (WHMD) of cylindrical cups by means of commercial FEA package Ls-Dyna The validity of established FEA model is verified by means of WHMD experiments through several studies. It was noted that the established model successfully simulated the real process leading to significant cost and time spent on trial-error stage in hydromechanical deep-drawing of lightweight alloys.

Comparative Study of Analytical Expressions to Estimate the Deep Drawing Force of Cylindrical and Rectangular Parts

2016 ◽  
Author(s):  
Aarón Rivas Menchi ◽  
Hugo I. Medellín Castillo ◽  
Dirk F. de Lange ◽  
Pedro de J. García Zugasti
Keyword(s):  
Deep Drawing ◽  
Prediction Performance ◽  
Process Efficiency ◽  
Equivalent Diameter ◽  
Drawing Process ◽  
Drawing Force ◽  
Deep Drawing Process ◽  
The Press ◽  
Cylindrical Parts ◽  
Analytical Expressions

The deep drawing process has been widely used in the industry because it eliminates costly operations such as welding and machining. However, there are many parameters involved that affect the quality of the final products. One of the main parameters of the deep drawing process is the maximum deep drawing force (DDF) or drawing load, which is the maximum force required to perform a particular deep drawing operation. This maximum DDF is needed to define the required capacity of the press, and to calculate the deep drawing work and the process efficiency. Several analytical expressions to estimate the maximum DDF have been proposed in the literature, particularly for cylindrical parts. However, few research works have focused on analyzing the prediction performance of these expressions. In this paper, the performance of different analytical expressions to estimate the maximum DDF of cylindrical and rectangular parts, is evaluated and compared. Initially, several expressions proposed by different researches for the maximum DDF of cylindrical parts are presented. Then, these expressions are transformed into new expressions for the maximum DDF of rectangular parts by using different concepts of equivalency, such as the equivalent diameter concept. Finally, the prediction performance of all the expressions for both cylindrical and rectangular deep drawing is analysed and compared using experimental data from the literature. The performance is evaluated in terms of the prediction error. The results have suggested that the analytical expressions involving the largest number of parameters have a superior prediction performance than the analytical expressions involving less parameters.

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

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