scholarly journals Effect of Tool Geometry Parameters on the Formability of a Camera Cover in the Deep Drawing Process

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 3993
Author(s):  
Thanh Trung Do ◽  
Pham Son Minh ◽  
Nhan Le
Keyword(s):  
Deep Drawing ◽  
Thickness Distribution ◽  
Metal Flow ◽  
Sheet Thickness ◽  
Side Wall ◽  
Tool Geometry ◽  
Drawing Process ◽  
Nose Radius ◽  
Deep Drawing Process

The formability of the drawn part in the deep drawing process depends not only on the material properties, but also on the equipment used, metal flow control and tool parameters. The most common defects can be the thickening, stretching and splitting. However, the optimization of tools including the die and punch parameters leads to a reduction of the defects and improves the quality of the products. In this paper, the formability of the camera cover by aluminum alloy A1050 in the deep drawing process was examined relating to the tool geometry parameters based on numerical and experimental analyses. The results showed that the thickness was the smallest and the stress was the highest at one of the bottom corners where the biaxial stretching was the predominant mode of deformation. The problems of the thickening at the flange area, the stretching at the side wall and the splitting at the bottom corners could be prevented when the tool parameters were optimized that related to the thickness and stress. It was clear that the optimal thickness distribution of the camera cover was obtained by the design of tools with the best values—with the die edge radius 10 times, the pocket radius on the bottom of the die 5 times, and the punch nose radius 2.5 times the sheet thickness. Additionally, the quality of the camera cover was improved with a maximum thinning of 25% experimentally, and it was within the suggested maximum allowable thickness reduction of 45% for various industrial applications after optimizing the tool geometry parameters in the deep drawing process.

Investigating the Effects of the Friction Coefficient and Tool Geometry on the Cup Thickness in the Deep Drawing Process of SPXI250 Alloy

2013 ◽  
Author(s):  
Iman Rostamsowlat ◽  
Ahmad Afsari ◽  
Maziar Janghorban
Keyword(s):  
Finite Element ◽  
Friction Coefficient ◽  
Deep Drawing ◽  
The Other ◽  
Tool Geometry ◽  
Drawing Process ◽  
Nose Radius ◽  
Deep Drawing Process ◽  
Simulation Results ◽  
Thickness Variations

In this paper, effects of friction coefficient and tool geometry on the thickness variations of a cylindrical cup were studied. Blank is made of SPXI250 alloy sheet which was analyzed by Finite Element Method (FEM). This not been studied yet. Finite Element modeling of the deep drawing process was conducted using ABAQUS/EXPLICIT software. A set of appropriate die and punch were designed for experimental tests. The results of the simulation showed that a change in the friction coefficient of the die-blank interface leads to a significant changes in the cup thickness. Moreover, the results revealed that the influence of die nose radius on the final cup thickness variations is greater than that of the punch nose radius. The simulation results of this study were compared with the experimental results and those of the other investigators’. The comparisons of the experimental and simulation results with those of the other researchers were so satisfactory.

Study of the Parameters of Deep Drawing Process Based on the Simulation of Dynaform

2012 ◽  
Vol 249-250 ◽  
pp. 51-58
Author(s):  
Qing Wen Qu ◽  
Tian Ke Sun ◽  
Shao Qing Wang ◽  
Hong Juan Yu ◽  
Fang Li
Keyword(s):  
Friction Coefficient ◽  
Sheet Metal ◽  
Deep Drawing ◽  
Drawing Process ◽  
Blank Holder Force ◽  
Blank Holder ◽  
Deep Drawing Process ◽  
Drawing Die ◽  
Drawing Speed

A simulation of deep drawing process on the sheet metal was done by using Dynaform, the influence of blank holder force, deep drawing speed and friction coefficient on the forming speed of sheet metal in the deep drawing process were got. The forming speed of sheet metal determines the quality of deep drawing, in the deep drawing process the blank holder force and the deep drawing speed are controllable parameters, the friction coefficient can be intervened and controlled, and it’s a manifestation of the interaction of all parameters, the main factors which influence the friction coefficient just have blank holder force, deep drawing speed and lubrication except the material. The conclusion of this study provides the basic data for the analysis of the lubrication of mould, the study of lubricant and the prediction of the service life of deep drawing die.

Effect of Geometries of Die/Blank Holder and Punch Radii in Angular Deep-Drawing Dies on DP Steel Formability

2015 ◽  
Vol 813-814 ◽  
pp. 269-273 ◽  
Author(s):  
P. Venkateshwar Reddy ◽  
S. Hari Prasad ◽  
Perumalla Janaki Ramulu ◽  
Sirish Battacharya ◽  
Daya Sindhu Guptha
Keyword(s):  
Deep Drawing ◽  
Thickness Distribution ◽  
Frictional Coefficient ◽  
Drawing Ratio ◽  
Drawing Process ◽  
Dp Steel ◽  
Punch Force ◽  
Blank Holder ◽  
Deep Drawing Process ◽  
Drawing Dies

In recent days deep-drawing is one of the most important methods used for sheet metal forming. The geometries of die/blank holder and punch are one of the parameters for deep-drawing. This paper presents an attempt to determine the effect of different geometries of die/blank holder, punch radii and blank holding force on deep drawing process for the formability of DP Steel of 1mm sheet. The numerical simulations are performed for deep drawing of cylindrical cups at a constant frictional coefficient of 0.12 and different blank holding forces of 10, 15 and 20kN are used. For numerical simulation PAM STAMP 2G a commercial FEM code in which Hollomon’s power law and Hills 1948 yield’s criterion is used. The die/blank holder profile used with an angles of α=0°, 12.5°, 15° and die/punch profile with a radii of R= 6 and 8mm were simulated to determine the influence of punch force and thickness distribution on the limit drawing ratio. The aim of this study is to investigate the effect of tool geometries on drawability of the deep-drawing process.

Initial Blank Optimization in Multilayer Deep Drawing Process Using GONNS

2010 ◽  
Vol 132 (6) ◽  
Author(s):  
M. R. Morovvati ◽  
B. Mollaei-Dariani ◽  
M. Haddadzadeh
Keyword(s):  
Deep Drawing ◽  
Strain Distribution ◽  
Thickness Distribution ◽  
Training Data ◽  
Drawing Process ◽  
Thickness Strain ◽  
Deep Drawing Process ◽  
Initial Blank ◽  
Deformation Force ◽  
Blank Shape

The initial blank in the deep drawing process has a simple shape. After drawing, its perimeter shape becomes very complex. If the initial blank shape is designed in such a way that it is formed into the desired shape after the drawing process, not only does it reduces the time of trimming process but it also decreases the raw material needed substantially. In this paper, the genetically optimized neural network system (GONNS) is proposed as a tool to predict the initial blank shape for the desired final shape. Artificial neural networks (ANNs) represent the final blank shape after a training process and genetic algorithms find the optimum initial blank. The finite element method is employed for simulating the multilayer plate deep drawing process to provide training data for ANN. The GONNS results were verified through experiment in which the error was found to be about 0.2 mm. At last, variations of deformation force, thickness distribution, and thickness strain distribution were investigated using optimum blank. The results show 12% reduction in deformation force and more uniform thickness distribution as well as more consistent thickness strain distribution in the optimum blank shape.

scholarly journals b EXPERIMENTAL AND FINITE ELEMENT ANALYSIS OF SQUARE DEEP DRAWING PROCESS FOR LAMINATED STEEL-BRASS SHEET METALS

2020 ◽  
Vol 20 (1) ◽  
pp. 12-24
Author(s):  
Hani Aziz Ameen
Keyword(s):  
Deep Drawing ◽  
Thickness Distribution ◽  
Low Carbon Steel ◽  
High Strength ◽  
Experimental Tests ◽  
Drawing Process ◽  
Low Carbon ◽  
Element Analysis ◽  
Blank Holder ◽  
Deep Drawing Process

In this paper, the drawability of two-layer (steel-brass) sheets to produce square cup, is investigated through numerical simulations, and experimental tests. Each material has its own benefits and drawbacks in terms of its physical, chemical and mechanical properties, so that the point of this investigation is taking the benefits of different materials, like (low density, high strength and resistibility of corrosion), at the same time and in a one part. ANSYS18 software is used to simulate the deep drawing process of laminated sheet. The deep drawing processes for square cup were carried out under various blank holder loads with different lubrication conditions (dry and lubricant) and with variable layer arrangement. The materials were low carbon steel st1008 and brass CuZn30 sheets with thickness of 0.5mm0and 0.58mm respectively. The thickness of laminated sheet blank was 1.1 mm and its diameter was 83 mm. The drawn cups with less imperfections and satisfactory thickness distribution were formed in this study. It is concluded the greatest thinning appear in the corner of the cup near the punch radius due to extreme stretching take place in this area. Experimental forming load, blank holder load, and thickness distribution are compared with simulation results. Good agreement between experimental and numerical is evident.

Simulation Study of Deep Drawing Process

2020 ◽  
Vol 977 ◽  
pp. 139-147
Author(s):  
Jaber Abu Qudeiri ◽  
Aiman Ziout ◽  
Muneir Alsayyed ◽  
Ammar Alzarooni ◽  
Faris Safieh ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Process Parameters ◽  
Sheet Metal Forming ◽  
Deep Drawing ◽  
Metal Forming ◽  
Deformation Behaviour ◽  
Drawing Process ◽  
Deep Drawing Process ◽  
Optimal Values

Deep drawing process is one of the important processes in sheet metal forming. One of the challenge that faces the deep drawing process is selecting the optimal values of process parameters for the deep drawing process. In order to find the optimum values of these parameters, it is necessary to study their influence on the deformation behaviour of the sheet metal. This paper develops a simulation model for deep drawing process based on Simufact sheet metal forming module to study the effect process parameters on the deep-drawing characteristics. The study also obtained the distribution of strain on the drawn product. Three process parameters are considered in this study namely, punch radius, die radius and clearance, the effect of these process parameter on the required force as well as on the quality of the product are investigated.

On-Line Thinning Measurement in the Deep Drawing Process

2002 ◽  
Vol 124 (2) ◽  
pp. 420-425 ◽  
Author(s):  
Moshe Berger ◽  
Eyal Zussman
Keyword(s):  
Deep Drawing ◽  
Process Model ◽  
Thickness Distribution ◽  
Strain Analysis ◽  
Longitudinal Axis ◽  
Drawing Ratio ◽  
Drawing Process ◽  
Round Cross Section ◽  
Deep Drawing Process ◽  
Acoustic Coupling

The conventional deep drawing process is limited to a certain Limit Drawing Ratio (LDR), beyond which localized wall thinning and rupture occur. One way to increase the LDR is to try to capture the onset of necking and to adjust process parameters in order to delay or avoid necking. This paper describes a method for monitoring the wall thickness of a cup during the deep drawing process. Measurement utilizes a noncontact ultrasound gauge that is located orthogonally to the drawn cup’s wall and is immersed in oil to create an acoustic coupling. Monitoring is based upon a deep drawing process model using a thin blank with a round cross-section. Thickness distribution along a longitudinal axis is predicted and is used as a trajectory to track in-process thinning variations that may lead to tearing. The robustness of the measurement system is examined by applying the technique in different experiments. Results show that in-process measurements correlate well with grid strain analysis of a formed sheet metal part.

scholarly journals Investigation of Thickness Distribution Variation in Deep Drawing of Conical Steel Products

2021 ◽  
Vol 39 (4A) ◽  
pp. 586-598
Author(s):  
Muhsin J. Jweeg ◽  
Adnan I. Mohammed ◽  
Mohammed S. Jabbar
Keyword(s):  
Sheet Metal ◽  
Deep Drawing ◽  
Thickness Distribution ◽  
Sheet Thickness ◽  
Galvanized Steel ◽  
Thickness Variation ◽  
Low Carbon ◽  
Nose Radius ◽  
Numerical Work ◽  
Punch Velocity

This study investigates the thickness variation behavior of deep drawing conical products under the effect of different forming parameters such as die wall inclination angle, punch velocity, sheet thickness, and sheet metal type. Two types of sheet metal were used, low carbon (AISI 1008) and galvanized steel sheets, of 110 mm diameters circular blanks at 0.9 and 1.2mm thickness formed by tooling set (punch, die, and blank holder). The conical dies inclination angles were at 70ᵒ, 72ᵒ, and 74ᵒ where, the punch velocity was 100, 150, and 200 mm/min. Numerical simulation was conducted using ABAQUS 6.14 where a dynamic explicit solver was used to perform forming of conical products. The results show that maximum thinning occurs at punch nose radius region and maximum thickening in sidewall region and thinning are increased with the increasing of die sidewall angle and sheet thickness. In regard to sheet type, the Lankford coefficients r-value shows a great role in thinning behavior with respect to rolling (r-values direction). The results have shown a good agreement between experimental and numerical work with a maximum discrepancy of 5%.

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