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Effect of Technological and Geometrical Parameters on Formation of Radius Region at Cylindrical Product Bottom in Hydrostatic Forming

Journal of the Korean Society for Precision Engineering 2019;36(9):891-900.
Published online: September 1, 2019

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#E-mail: thu.nguyenthi@hust.edu.vn, TEL: +84-976-512-385
• Received: March 26, 2019   • Revised: May 21, 2019   • Accepted: May 29, 2019

Copyright © The Korean Society for Precision Engineering

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Hydrostatic forming has recently been applied as a special method for manufacturing products with complex surfaces from sheet or tube metal. However, effects of technological parameters as well as geometrical parameters of die on formability and quality have not been thoroughly studied. It can be seen from research on hydrostatic forming for cylindrical products that the formation of curve radius at the bottom of cylindrical die has a heavy dependence on input parameters: blank holder pressure, liquid pressure, relative depth of die and relative thickness of work piece. Furthermore, small value of curve radius at die bottom is supposed to prevent the formability due to the difference in forming mechanism between hydrostatic forming and conventional drawing. Therefore, it is necessary that the extent to which the curve radius at die bottom relies on the parameters above be evaluated. Using orthogonal second order design, relationships between the parameters and curve radius are studied and presented as functions and graphs. From that, values of curve radius can be suitably defined in different forming modes.

R d

Radius at the bottom die (mm)

Qch

Blank holder pressure (bar)

H*

Relative depth (%)

S*

Relative thickness (%)

d

Diameter of die (mm)

Do

Diameter of workpiece (mm)

H

Depth of die (mm) (height of the product)

S

Workpiece thickness (mm)

σ m

Ultimate stress (MPa)

σ f

Yield stress (MPa)

ρ

Specific weight (kg/cm3)
Hydrostatic forming for sheet metal is one kind of technology that uses highly pressured liquid to form product according to die profile. This technology demonstrates many advantages such as ability to forming complex profile, high surface quality, ability to be applied for different types of material (aluminum, copper, steel, stainless steel, even nonmetals). Thus, this technology has been applied into many fields, especially in manufacturing thin-wall products in car industry.1
M. Sato and A. Tomizawa2 indicated that radius of convex and concave curve have dramatical influence on forming process. Due to high possibility of fitting with convex area, radii at die top and other convex areas (if any) inside can be easily formed and reach expected values. The study also showed that it is more difficult for material to fit with concave cure than convex curve in hydrostatic forming (Fig. 1).
Fig. 1

Curve radii at die bottom

KSPE_2019_v36n9_891_f001.jpg
The difficulty in fitting with concave curve was also presented by D. Koller and S. Ulbrich.3 In order to achieve smallest radius at cylinder bottom by hydrostatic forming, the authors used Abaqus to optimize the control of blank holder pressure and forming pressure. This method can be applied to enhance the efficiency of experiments.
However, a specific extend to which curve radius at die bottom depends on input parameters has not been evaluated. This causes trouble in defining input parameters, including technological parameters, die profile and initial shape of workpiece for designing any product with curve radius at the bottom.
Therefore, a process of forming a cylindrical product was researched to investigate the extent to which technological parameters and geometry parameters of die influence forming concave curve radius in hydrostatic forming.
In this paper, orthogonal second order design is employed to evaluate reliably the influence. The empirical planning is implemented for 3 variables: blank holder pressure, relative depth of die, relative thickness of product. Results are illustrated in functions and graphs, allowing the evaluation of each parameters. The results also enable us to select suitable input parameters for each type of product with each expected bottom radius.
2.1 Research Method
Object: how the forming curve radius at the bottom of a cylindrical product with radius of Rd depends on input parameters.
The selected product is shown in Fig. 2. Radius region Rd is the typical concave area of the die.
Fig. 2

The selected product

KSPE_2019_v36n9_891_f002.jpg
Research method: Combination of experimental research and numerical simulation has recently been one of the most widely used method for accurate results. In this research, simulation is done to define ranges of values to be investigated. After that, experiments are implemented to evaluate particular effects of given parameters. The paper focuses on experimental studies based on ranges of values of parameters that was defined by simulation before.
Orthogonal second order design is employed to solve the given problems because it permits influence of each parameter on product quality to be estimated in detail with high accuracy.
Objective function is Rd, curve radius at die bottom, because formation of this curve radius is considered one determinant of profile and quality of product.
Variables to be investigated:
- Blank holder pressure Qch: Together with forming pressure, blank holder pressure is a technological parameter that needs studying. This parameter allows hydrostatic forming process to take place, and it has big impact on the achievement of expected profile. The chosen range of value of blank holder pressure is Qch = (80-115) bar.
- Relative depth of die H*: Is defines as the ratio of die depth (H) and die diameter (d). Deep forming is not permitted in this technology, and the sheet cannot fit well with die profile due to initial free deformation. Therefore, it is proposed that different dies with different depths be created to facilitate forming process.
- Relative thickness of product S*: Is defines as the ratio between the absolute thickness of workpiece (S) and its diameter (D0). This parameter influences heavily formation of cylinder bottom and thinning process on cylinder body. Values of S* are given in Table 2.
Other parameters such as friction coefficient, rate of deforming, material thickness, etc are considered to be constant.
Experimental results aim to evaluate the degree where the parameters above affect the formation of the curve radius at die bottom as functions and graphs, enabling the selection of an optimal set of parameters in order to obtain suitable curve radius.
2.2. Experiment Establishment
The selection is presented in detail as Fig. 2. The chosen type of material is DC04 with mechanical, physical and chemical properties given in Table 1. This material has been widely used in sheet forming.
Table 1

Properties of DC04 steel

Table 1
Label Properties Equivalent label
DC04 σm
(MPa)
σf
(MPa)
δ
(%)
ρ
(kg/cm3)
Russia-GOST
08kp Japan-JIS
SPCE
314-412 210-280 38 7.8*10-3
Geometry parameters of workpiece and die are provided in Table 2. The workpieces were machined by wire electrical discharge machining to ensure the diameter D0 = 110 mm (Fig. 3).
Table 2

Geometry parameters of workpiece and die

Table 2
Workpiece Die
Diameter D0, mm 110.0 Diameter d, mm 70.0
Thickness S, mm 0.8, 1.0, 1.2 Depth H, mm 16.0, 18.0, 20.0
Relative thickness
S* (%)
S*=SD0
0.73, 0.91, 1.09 Relative depth
H* (%)
H*=Hd
23, 26, 29
Fig. 3

Workpieces

KSPE_2019_v36n9_891_f003.jpg
The workpiece’s flange was coated with one layer of polythene in order to avoid contact between workpiece and die surfaces (Fig. 4). With friction coefficient μ = 0.2, this layer allows the workpiece to slide easily and to be drawn into the die.
Fig. 4

Workpiece coated with polythene

KSPE_2019_v36n9_891_f004.jpg
2.3 Experiment Devices
The experiment system is composed of 4 modules:
- 125-ton hydraulic press: is used to mount the die and create blank holder force (Fig. 6)
- Hydrostatic die: is used to shape the workpiece
- High-pressure pump: is used to generate high-pressure liquid to form the workpiece
- Pressure and stroke measuring system is connected to computer (Fig. 7)
Working principle (Fig. 5):
Fig. 5

Schematic diagram of experiment system

KSPE_2019_v36n9_891_f005.jpg
Fig. 6

Devices (a) and die (b)

KSPE_2019_v36n9_891_f006.jpg
Fig. 7

Pressure-stroke meters

KSPE_2019_v36n9_891_f007.jpg
The die is fixed on the hydraulic press, and connected to the high-pressure pump and measuring system.
The workpiece is fixed between the blank holder and the die by blank holder force from the press.
High-pressure is pumped into the groove increasingly to form the product. The product is shaped according to the groove shape. Changes of pressure in grove, in cylinder and forming depth are collected by the measuring system and displayed on the computer screen.
Experiments were implemented on 125-ton hydraulic press.
Pressure measuring system was connected to a computer to supervise and adjust correctly required parameters (Fig. 7).
The measurement of product radius was deployed with optical meter μM21. The product was clamped on the machine (Fig. 8), then rays of light were transferred through lens to project on the product profile (Fig. 9(a)). The measurement coordinates are displayed as shown in Fig. 9(b). Coordinates then were taken out and loaded into Solidworks software. After that, the most suitable value of radius was computed (Fig. 10).
Fig. 8

Optical meter μM21

KSPE_2019_v36n9_891_f008.jpg
Fig. 9

Coordinates of product profile displayed through lens and display screen

KSPE_2019_v36n9_891_f009.jpg
Fig. 10

Establishment of product profile in Solidworks

KSPE_2019_v36n9_891_f010.jpg
For each specimen, measure about 40 points to rebuild its profile as shown in Fig. 11.
Fig. 11

Measure curve radius Rd

KSPE_2019_v36n9_891_f011.jpg
2.4. Experiment Results
The orthogonal second order design for 3 variables requires 15 experiments, including 8 standard experiments, 1 in-center experiment, and 6 extension experiments as shown in Table 4. In extension experiments, the input variables have extra values due to the variation in the expansion area. The results are as follows the Table 3:
Table 3

Input variables and survey values

Table 3
Input
variable
Converted
variable
Survey
value
(+) (0) (−) (+α) (−α)
Qch x1 76,
80,
97.5,
115,
119
(bar)
115 97.5 80 119 76
H* x2 22,
23,
26,
29,
30
(%)
23 26 29 30 22
S* x3 0.7,
0.73,
0.91,
1.09,
1.12
(%)
0.73 0.91 1.09 0.7 1.12
Table 4

Values of input variables in 15 experiments

Table 4
N 0 Qch H* S*
1 + - -
2 + + -
3 + - +
4 + + +
5 - - +
6 - + +
7 - - -
8 - + -
9 0 0 0
10 +α 0 0
11 α 0 0
12 0 +α 0
13 0 α 0
14 0 0 +α
15 0 0 α
Where:

(+): The upper level in the basic experiment

(0): Middle level in basic experiment

(−): Lower level in basic experiment

(+α): The upper level in extended area

(−α): Lower level in extended area

The results are shown in Fig. 12.
Fig. 12

Experimental products

KSPE_2019_v36n9_891_f012.jpg
Curve radius at product bottom Rd in each specimens is demonstrated in Table 5.
Table 5

Experiment results

Table 5
No Rd (mm)
1 6.31
2 6.35
3 6.36
4 6.84
5 10.2
6 8.49
7 7.60
8 7.59
According to orthogonal second order design, the regression equation for Rd based on converted variable can be defined Eqs. (2)-(5):
(1)
Rd=Y=bo+j=13bjxj+i,j=1;ij3bijxixj+j=13bjjxj2
where coefficients bi, b'i are given in Table 6. Where coefficients bj is calculated as follow Eqs. (2)-(5):
Table 6

Coefficients of regression equation

Table 6
Symbol Value
b0 7.98
b1 -0.39
b2 0.43
b3 1.60
b12 -0.02
b13 -0.57
b23 0.26
b'1 0.42
b'2 0.19
b'3 0.31
(2)
b0=1nu=1nYu
(3)
bj=u=1nxujYuu=1nxuj2
(4)
bij=u=1nxuixujYuu=1nxuixuj2
(5)
bjj=u=1nxui'Yuu=1nxui'2
In order to verify the coefficients, regeneration variance can be computed Eqs. (7)-(10):
(6)
Sth2=0.0158
Variance of coefficients in regression equation is defined and compared with Students standard, causing b12 to be omitted.
Residual variance is calculated to verify the suitability of the function:
(7)
Sdu2=0.179
Then, function test coefficient is:
(8)
F=Sdu2Sth2=0.1790.0158=11.3
Compared with Fischer standard Fα(f1, f2) with α = 0.05 and
(9)
f1=N-g-1=15-8-1=6
(10)
f2=no-1=2
Looking up the table, we have Fischer Fα(9. 2) = 19.4 > 11.3, so the regression function is satisfactory.
The relationship between Rd and converted variables can be written as:
(11)
Rd=y=7.31-0.39x1+0.43x2+1.6x3-0.57x1x3+0.26x2x3+0.42x1+0.19x2+0.31x3
Transferring into real variables, Eq. (11) can be presented as:
(12)
Rd=0.0014Qch2+0.0211H*+9.568S*-0.1306Qch-1.392H*-3.962S*-0.181QchS*+0.4815H*S*+28.496
In order to evaluate effect of each variable, considering boundary neighborhood of tested area, 3 equations can be inferred:
(13)
y1x1,1,1=10.1-0.96x1+0.42x12
(14)
y21,x2,1=8.68+0.69x2+1.19x22
(15)
y31,1,x3=7.96+1.29x3+0.31x32
It can be inferred from coefficients in Eqs. (13)-(15) that the curve radius Rd depends on x3 (relative thickness of workpiece) at highest extent, and the extent decreases with respect to x2 (relative depth of die) and x1 (blank holder pressure) alternatively.
With respect to each value of blank holder pressure Qch: Graphs were established from Eq. (12) using Matlab, from that maximum and minimum curve radius Rd can be figured out.
· Blank holder pressure Qch is set to be constant: When Qch = 80 bar: minimum curve radius Rdmin = 6.23 mm and maximum curve radius Rdmax = 11.5 mm (Fig. 13)
Fig. 13

Dependence of Rd on H* and S* when Qch = 80 bar

KSPE_2019_v36n9_891_f013.jpg
When Qch = 97.5 bar: Rdmin = 5.98 mm and Rdmax = 10.1 mm (Fig. 14);
Fig. 14

Dependence of Rd on H* and S* when Qch = 97.5 bar

KSPE_2019_v36n9_891_f014.jpg
When Qch= 115 bar: Rdmin = 6.58 mm and Rdmax = 9.5 mm (Fig. 15);
Fig. 15

Dependence of Rd on H* and S* when Qch = 115 bar

KSPE_2019_v36n9_891_f015.jpg
It can be seen from Figs. 13-15 that curve radius Rd reduces together with the decrease in relative thickness of workpiece S* and relative depth of die H*. In particular, the graph has a large angle of slope towards the axis of S*, indicating that the formation of curve radius Rd has great influence on the initial relative thickness of workpiece.
· With respect to each value of relative thickness of workpiece S*:
When S* = 0.73 (%): Rdmin = 5.97 mm and Rdmax = 6.97 mm (Fig. 16);
Fig. 16

Dependence of Rd on H* and Qch when S* = 0.73(%)

KSPE_2019_v36n9_891_f016.jpg
When S* = 0.91 (%): Rdmin = 6.99 mm and Rdmax = 8.73 mm (Fig. 17)
Fig. 17

Dependence of Rd on H* and Qch when S* = 0.91 (%)

KSPE_2019_v36n9_891_f017.jpg
When S* = 1.09 (%): Rdmin = 8.19 mm and Rdmax = 11.47 mm (Fig. 18);
Fig. 18

Dependence of Rd on H* and Qch when S* = 1.02 (%)

KSPE_2019_v36n9_891_f018.jpg
It can be observed from Figs. 17 and 18 that there is a covariance in dependence of Rd on H*, that is, when H* grows, Rd increase and vice versa. Fig. 16(b) shows that there exists an H* value in the survey zone to achieve the minimum Rd radius. Therefore, with the relative thickness of workpiece greater than a defined value, the dependence of Rd on H* is shown to be simpler. Graphs in Figs. 16-18 also show that with respect to Qch, Rd has a decrease when Qch reaches a specific value, but Rd bounces up when Qch continues increasing. As a result, there always exists one suitable value of Qch so that Rd can get minimum value.
· With respect to each value of relative depth of die H*:
When H* = 23 (%): Rdmin = 6.03 mm and Rdmax = 10.1 mm (Fig. 19);
Fig. 19

Dependence of Rd on S* and Qch when H* = 23(%)

KSPE_2019_v36n9_891_f019.jpg
When H* = 26(%): Rdmin = 6.0 mm and Rdmax = 10.6 mm (Fig. 20);
Fig. 20

Dependence of Rd on S* and Qch when H* = 26 (%)

KSPE_2019_v36n9_891_f020.jpg
When H* = 29 (%): Rdmin = 6.35 mm and Rdmax = 11.4 mm (Fig. 21);
Fig. 21

Dependence of Rd on S* and Qch when H* = 29(%)

KSPE_2019_v36n9_891_f021.jpg
It can be noted from Figs. 19-21 that Rd have dependence on Qch and S*. The case where Rd depends on Qch shows a similarity to Fig. 16, which means that there always exists one suitable value of Qch so that Rd can get minimum value.
The situation above can be reasoned that:
- Beginning period: that blank holder pressure Qch increases makes curve radius Rd decrease. Because the growing blank holder pressure avoids the workpiece from instability on flange and assists in drawing material into the die. Moreover, together with blank holder pressure, forming pressure also rises theoretically, enabling the workpiece to be more easily pressed onto bottom area of the die. Therefore, the curve radius Rd will decrease and get the minimum value when Qch reaches a suitable value.
- Later period: after Rd gets the minimum value Rdmin, if Qch continues growing, the curve radius Rd bounces back. This can be argued that the increasing blank holder pressure makes it difficult for the material to be drawn into the die, preventing the workpiece from being pressed onto the die, especially the curve area. Consequently, the curve radius Rd increase in this period.
Furthermore, graphs in Figs. 19-21 also show that when the relative thickness of workpiece S* increases, the curve radius Rd has the same tendency. This relationship has a good agreement with results in different cases above.
Hence, by experimental investigation, the formation of curve radius depends on following parameters:
- Rd depends on all of 3 parameters (Qch, H*, S*), where the relative thickness of workpiece S* demonstrates the heaviest influence. The relationship is formulated in Eq. (12).
- The curve radius Rd decreases more when the relative thickness of workpiece is smaller, the relative depth of die and the blank holder pressure reach a suitable value.
The experimental study indicates that the formation of curve radius at product bottom depends on all input parameters including blank holder pressure, relative depth of die, relative thickness of workpiece. In particular, in order for curve radius at product bottom to be smaller, the relative thickness of workpiece needs to be smaller, the relative depth of die and the blank holder pressure reach a suitable value.
The results have a great significance in designing thin-wall products, allowing easy selection and preventing damage or dimension deviation during manufacturing process.
In addition to curve radius at product bottom, other elements affecting product quality such as rate of thinning, thinning distribution, conicity, inverse elasticity, etc also needs paying attention to.
The achieved study opens the way for applying and deploying hydro static forming for sheet metal into thin wall manufacturing.
This paper was presented at PRESM 2019
  • 1.
    Kocańda, A. and Sadłowska, H., “Automotive Component Development by Means of Hydroforming,” Archives of Civil and Mechanical Engineering, Vol. 8, No. 3, pp. 55-72, 2008.
    10.1016/S1644-9665(12)60163-0
  • 2.
    Sato, M. and Tomizawa, A., “Development of Double Sheet Hydroforming Technology,” Proc. of the International Automotive Body Congress 2010 Global Powertrain Congress 2010
  • 3.
    Koller, D. and Ulbrich, S., “Optimal Control of Hydroforming Processes,” DOI: 10.1002/pamm.201110386, https://onlinelibrary.wiley.com/doi/abs/10.1002/pamm.201110386 (Accessed 29 AUG 2019)
  • 4.
    Nguyen, M. T., “Experimental Design,” Science and Technology Publishing House, https://lib.lhu.edu.vn/BookViewDetail/5321/BK/Quy-hoach-thuc-nghiem.html (Accessed 29 AUG 2019)
Nguyen Thi Thu
KSPE_2019_v36n9_891_bf001.jpg
Doctor of Philosophy in Department of Metal Forming, School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam. Her favorite research includes special forming technologies and micro forming. In addition, she also gives lectures on sheet metal forming for 3rd and 4th year students at the university.
Tel: +84 976 512 385
Nguyen Dac Trung
KSPE_2019_v36n9_891_bf002.jpg
Associate Professor in the Department of Metal Forming, School of Mechanical Engineering, Ha-noi University of Science and Technology, Vietnam. He got Ph.D Degree at Technische Universität Dresden in 2003. His favourite research includes sheet forming, bulk forming and micro forming.
Tel: +84 913 059 227

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Effect of Technological and Geometrical Parameters on Formation of Radius Region at Cylindrical Product Bottom in Hydrostatic Forming
J. Korean Soc. Precis. Eng.. 2019;36(9):891-900.   Published online September 1, 2019
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Effect of Technological and Geometrical Parameters on Formation of Radius Region at Cylindrical Product Bottom in Hydrostatic Forming
J. Korean Soc. Precis. Eng.. 2019;36(9):891-900.   Published online September 1, 2019
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Effect of Technological and Geometrical Parameters on Formation of Radius Region at Cylindrical Product Bottom in Hydrostatic Forming
Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image Image
Fig. 1 Curve radii at die bottom
Fig. 2 The selected product
Fig. 3 Workpieces
Fig. 4 Workpiece coated with polythene
Fig. 5 Schematic diagram of experiment system
Fig. 6 Devices (a) and die (b)
Fig. 7 Pressure-stroke meters
Fig. 8 Optical meter μM21
Fig. 9 Coordinates of product profile displayed through lens and display screen
Fig. 10 Establishment of product profile in Solidworks
Fig. 11 Measure curve radius Rd
Fig. 12 Experimental products
Fig. 13 Dependence of Rd on H* and S* when Qch = 80 bar
Fig. 14 Dependence of Rd on H* and S* when Qch = 97.5 bar
Fig. 15 Dependence of Rd on H* and S* when Qch = 115 bar
Fig. 16 Dependence of Rd on H* and Qch when S* = 0.73(%)
Fig. 17 Dependence of Rd on H* and Qch when S* = 0.91 (%)
Fig. 18 Dependence of Rd on H* and Qch when S* = 1.02 (%)
Fig. 19 Dependence of Rd on S* and Qch when H* = 23(%)
Fig. 20 Dependence of Rd on S* and Qch when H* = 26 (%)
Fig. 21 Dependence of Rd on S* and Qch when H* = 29(%)
Effect of Technological and Geometrical Parameters on Formation of Radius Region at Cylindrical Product Bottom in Hydrostatic Forming
Label Properties Equivalent label
DC04 σm
(MPa)
σf
(MPa)
δ
(%)
ρ
(kg/cm3)
Russia-GOST
08kp Japan-JIS
SPCE
314-412 210-280 38 7.8*10-3
Workpiece Die
Diameter D0, mm 110.0 Diameter d, mm 70.0
Thickness S, mm 0.8, 1.0, 1.2 Depth H, mm 16.0, 18.0, 20.0
Relative thickness
S* (%)
S*=SD0
0.73, 0.91, 1.09 Relative depth
H* (%)
H*=Hd
23, 26, 29
Input
variable
Converted
variable
Survey
value
(+) (0) (−) (+α) (−α)
Qch x1 76,
80,
97.5,
115,
119
(bar)
115 97.5 80 119 76
H* x2 22,
23,
26,
29,
30
(%)
23 26 29 30 22
S* x3 0.7,
0.73,
0.91,
1.09,
1.12
(%)
0.73 0.91 1.09 0.7 1.12
N 0 Qch H* S*
1 + - -
2 + + -
3 + - +
4 + + +
5 - - +
6 - + +
7 - - -
8 - + -
9 0 0 0
10 +α 0 0
11 α 0 0
12 0 +α 0
13 0 α 0
14 0 0 +α
15 0 0 α
No Rd (mm)
1 6.31
2 6.35
3 6.36
4 6.84
5 10.2
6 8.49
7 7.60
8 7.59
Symbol Value
b0 7.98
b1 -0.39
b2 0.43
b3 1.60
b12 -0.02
b13 -0.57
b23 0.26
b'1 0.42
b'2 0.19
b'3 0.31
Table 1 Properties of DC04 steel
Table 2 Geometry parameters of workpiece and die
Table 3 Input variables and survey values
Table 4 Values of input variables in 15 experiments
Table 5 Experiment results
Table 6 Coefficients of regression equation