scholarly journals Influence of the tool temperature increment on the coefficient of friction behavior on the deep drawing process of HSS

2016 ◽  
Vol 159 ◽  
pp. 012019
Author(s):  
I Gil ◽  
L Galdos ◽  
E Mugarra ◽  
J Mendiguren ◽  
E Saenz de Argandoña
Keyword(s):  
Coefficient Of Friction ◽  
Deep Drawing ◽  
Drawing Process ◽  
Tool Temperature ◽  
Friction Behavior ◽  
Deep Drawing Process ◽  
Temperature Increment ◽  
The Coefficient Of Friction

Influence of Punch Velocity on Spring Back in Micro Forming

2012 ◽  
Vol 504-506 ◽  
pp. 593-598 ◽  
Author(s):  
Hanna Wielage ◽  
Zhen Yu Hu ◽  
Frank Vollertsen
Keyword(s):  
Deep Drawing ◽  
Optical Measurement ◽  
Drawing Process ◽  
Spring Back ◽  
Friction Behavior ◽  
Deep Drawing Process ◽  
Inertia Effects ◽  
Strain Behavior ◽  
Rate Dependent ◽  
Punch Velocity

In macro forming it is already known, that the punch velocity has an influence on the deep drawing process. This influence is considerably induced by the velocity dependent friction behavior between sample and tool. A further influence is the strain rate dependent forming behavior of the material. In micro range, the influence of punch velocity on the deep drawing process could, due to the size effects, be different from that in macro range, for example the spring back behavior. In this article the influence of punch velocity on the spring back behavior in micro deep drawing is investigated using strip drawing test with two different widths (1 mm and 2 mm). Experiments with aluminum strips with a thickness of 50 µm were performed with punch velocities ranged from 1 mm/s to 1000 mm/s. The strain behavior, which occurs with different punch velocities are investigated on the basis of microsections. The spring back of all samples was measured by an optical measurement system and compared with each other. From the reported work it can be concluded, that with increasing punch velocity the spring back of the complete system is increasing, while the spring back at cup wall stays constant. As reasons can be cited mass inertia effects due to the high velocities and the velocity dependent friction.

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.

Blank shape optimization in the deep drawing process by sun method

2021 ◽  
Author(s):  
Hamidreza Gharehchahi ◽  
Mohammad Javad Kazemzadeh-Parsi ◽  
Ahmad Afsari ◽  
Mehrdad Mohammadi
Keyword(s):  
Shape Optimization ◽  
Deep Drawing ◽  
Drawing Process ◽  
Deep Drawing Process ◽  
Blank Shape Optimization ◽  
Blank Shape

Production of Tapered Cups by Sequential Deep Drawing of Sheet Metals Using Drawn Cups as a Part of Punch

1993 ◽  
Vol 115 (2) ◽  
pp. 224-229 ◽  
Author(s):  
K. Yamaguchi ◽  
K. Kanayama ◽  
M. H. Parsa ◽  
N. Takakura
Keyword(s):  
Deep Drawing ◽  
Drawing Ratio ◽  
Drawing Process ◽  
Sheet Metals ◽  
Deep Drawing Process ◽  
Drawing Method

A new deep drawing process of sheet metals is developed to facilitate small-lot production of deep cups with large drawing ratio. In this process, unlike the conventional deep drawing method, a few drawn cups are always stacked on the punch and used as a part of punch for the subsequent deep drawing of a given blank. Before drawing a new blank, a drawn cup which is in contact with the punch is stripped off. The repetition of such stripping and drawing operations makes it possible to carry out both the first-stage drawing and the subsequent slight redrawings in one drawing operation using only one pair of punch and die. In this paper, this new deep drawing process is applied to the production of tapered cups and the main feature of the process is shown.

Thinning and spring back prediction of sheet metal in the deep drawing process

2014 ◽  
Vol 53 ◽  
pp. 797-808 ◽  
Author(s):  
H. Zein ◽  
M. El Sherbiny ◽  
M. Abd-Rabou ◽  
M. El shazly
Keyword(s):  
Sheet Metal ◽  
Deep Drawing ◽  
Drawing Process ◽  
Spring Back ◽  
Deep Drawing Process
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