Nguyen Thi Thu; Nguyen Dac Trung

doi:10.7736/KSPE.2019.36.9.891

Articles

Page Path

REGULAR

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

Nguyen Thi Thu^1,#

, Nguyen Dac Trung¹

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

DOI: https://doi.org/10.7736/KSPE.2019.36.9.891

¹Department of Metal Forming, School of Mechanical Engineering, Hanoi University of Science and Technology, 1 Dai Co Viet Road, Hanoi Vietnam

#E-mail: thu.nguyenthi@hust.edu.vn, TEL: +84-976-512-385

• Received: March 26, 2019 • Revised: May 21, 2019 • Accepted: May 29, 2019

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.

7 Views
0 Download
4 Crossref
6 Scopus

prev next

Full Article

Download PDF

ABSTRACT
1. Introduction
2. Experiments
3. Discussions
4. Conclusions
ACKNOWLEDGMENTS
NOMENCLATURE
REFERENCES
Biography

ABSTRACT

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.
KEYWORDS: Hydrostatic forming, Sheet metal forming, Relative depth, Relative thickness, Blank holder pressure

1. Introduction

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

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. Experiments

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

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 Q_ch: 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 Q_ch = (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	σ_m (MPa)	σ_f (MPa)	δ (%)	ρ (kg/cm³)	Russia-GOST 08kp Japan-JIS SPCE
DC04	314-412	210-280	38	7.8*10^-3	Russia-GOST 08kp Japan-JIS SPCE

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

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

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

Fig. 6

Devices (a) and die (b)

Fig. 7

Pressure-stroke meters

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

Fig. 9

Coordinates of product profile displayed through lens and display screen

Fig. 10

Establishment of product profile in Solidworks

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

Fig. 11

Measure curve radius R_d

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)
Q_ch	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	Q_ch	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

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

Table 5

Experiment results

Table 5
No	R_d (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

3. Discussions

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;i≠j3bijxixj+∑j=13bjjxj2

where coefficients b_i, b'_i are given in Table 6. Where coefficients b_j 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=1n∑u=1nYu

(3)

bj=∑u=1nxujYu∑u=1nxuj2

(4)

bij=∑u=1nxuixujYu∑u=1nxuixuj2

(5)

bjj=∑u=1nxui'Yu∑u=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 F_α(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 F_α(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 R_d 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 Q_ch: 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 Q_ch = 80 bar: minimum curve radius R_dmin = 6.23 mm and maximum curve radius Rdmax = 11.5 mm (Fig. 13)

Fig. 13

Dependence of R_d on H* and S* when Q_ch = 80 bar

When Q_ch = 97.5 bar: R_dmin = 5.98 mm and R_dmax = 10.1 mm (Fig. 14);

Fig. 14

Dependence of R_d on H* and S* when Q_ch = 97.5 bar

When Q_ch= 115 bar: R_dmin = 6.58 mm and R_dmax = 9.5 mm (Fig. 15);

Fig. 15

Dependence of R_d on H* and S* when Q_ch = 115 bar

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 R_d 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 (%): R_dmin = 5.97 mm and R_dmax = 6.97 mm (Fig. 16);

Fig. 16

Dependence of R_d on H* and Q_ch when S* = 0.73(%)

When S* = 0.91 (%): R_dmin = 6.99 mm and R_dmax = 8.73 mm (Fig. 17)

Fig. 17

Dependence of R_d on H* and Q_ch when S* = 0.91 (%)

When S* = 1.09 (%): R_dmin = 8.19 mm and R_dmax = 11.47 mm (Fig. 18);

Fig. 18

Dependence of R_d on H* and Q_ch when S* = 1.02 (%)

It can be observed from Figs. 17 and 18 that there is a covariance in dependence of R_d on H*, that is, when H* grows, R_d 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 R_d on H* is shown to be simpler. Graphs in Figs. 16-18 also show that with respect to Q_ch, Rd has a decrease when Q_ch reaches a specific value, but Rd bounces up when Q_ch continues increasing. As a result, there always exists one suitable value of Q_ch so that R_d can get minimum value.

· With respect to each value of relative depth of die H*:

When H* = 23 (%): R_dmin = 6.03 mm and R_dmax = 10.1 mm (Fig. 19);

Fig. 19

Dependence of R_d on S* and Q_ch when H* = 23(%)

When H* = 26(%): R_dmin = 6.0 mm and R_dmax = 10.6 mm (Fig. 20);

Fig. 20

Dependence of R_d on S* and Q_ch when H* = 26 (%)

When H* = 29 (%): R_dmin = 6.35 mm and R_dmax = 11.4 mm (Fig. 21);

Fig. 21

Dependence of R_d on S* and Q_ch when H* = 29(%)

It can be noted from Figs. 19-21 that R_d have dependence on Q_ch and S*. The case where R_d depends on Q_ch shows a similarity to Fig. 16, which means that there always exists one suitable value of Q_ch so that R_d can get minimum value.

The situation above can be reasoned that:

- Beginning period: that blank holder pressure Q_ch increases makes curve radius R_d 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 R_d will decrease and get the minimum value when Q_ch reaches a suitable value.

- Later period: after R_d gets the minimum value Rdmin, if Q_ch continues growing, the curve radius R_d 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 R_d 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:

- R_d depends on all of 3 parameters (Q_ch, H*, S*), where the relative thickness of workpiece S* demonstrates the heaviest influence. The relationship is formulated in Eq. (12).

- The curve radius R_d decreases more when the relative thickness of workpiece is smaller, the relative depth of die and the blank holder pressure reach a suitable value.

4. Conclusions

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.

ACKNOWLEDGMENTS

This paper was presented at PRESM 2019

NOMENCLATURE

R _d

Radius at the bottom die (mm)

Q_ch

Blank holder pressure (bar)

Relative depth (%)

Relative thickness (%)

Diameter of die (mm)

Diameter of workpiece (mm)

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

Workpiece thickness (mm)

σ _m

Ultimate stress (MPa)

σ _f

Yield stress (MPa)

Specific weight (kg/cm³)

REFERENCES

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
Nguyen Dac Trung

Figure & Data

References

Citations

Citations to this article as recorded by

Fluid Pressure Analysis and Process Stability in Sheet Hydroforming with Die For Steel Sheets
Adil Sh. Jaber, Adnan I. Mohammed, Karem M. Younis
Management Systems in Production Engineering.2025; 33(1): 54. CrossRef
Experimental Modeling of Pressure in the Hydrostatic Formation of a Cylindrical Cup with Different Materials
Trung-Kien Le, Thi-Thu Nguyen, Ngoc-Tam Bui
Applied Sciences.2021; 11(13): 5814. CrossRef
On the thickness distribution and the maximum thinning ratio in hydrostatic forming for sheet metal
Nguyen Thi Thu, Nguyen Dac Trung
International Journal of Modern Physics B.2020; 34(22n24): 2040144. CrossRef
Experimental modeling of fluid pressure in hydrostatic forming for cylindrical product
Nguyen Thi Thu, Nguyen Dac Trung
International Journal of Modern Physics B.2020; 34(22n24): 2040158. CrossRef

Cite

CITE

export

Copy Download

Format
XML Download

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

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

DOI: https://doi.org/10.7736/KSPE.2019.36.9.891

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
bib — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

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

DOI: https://doi.org/10.7736/KSPE.2019.36.9.891

Figure

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

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(%)

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Fig. 13

Fig. 14

Fig. 15

Fig. 16

Fig. 17

Fig. 18

Fig. 19

Fig. 20

Fig. 21

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

Table 1

Properties of DC04 steel

Label	Properties				Equivalent label
DC04	σ_m (MPa)	σ_f (MPa)	δ (%)	ρ (kg/cm³)	Russia-GOST 08kp Japan-JIS SPCE
DC04	314-412	210-280	38	7.8*10^-3	Russia-GOST 08kp Japan-JIS SPCE

Table 2

Geometry parameters of workpiece and die

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* (%) $S * = \frac{S}{D_{0}}$	0.73, 0.91, 1.09	Relative depth H* (%) $H * = \frac{H}{d}$	23, 26, 29

Table 3

Input variables and survey values

Input variable	Converted variable	Survey value	(+)	(0)	(−)	(+α)	(−α)
Q_ch	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

N ₀	Q_ch	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

Table 5

Experiment results

No	R_d (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

Table 6

Coefficients of regression equation

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

Articles

Page Path

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

Full Article

ABSTRACT

1. Introduction

Curve radii at die bottom

2. Experiments

The selected product

Properties of DC04 steel

Geometry parameters of workpiece and die

Workpieces

Workpiece coated with polythene

Schematic diagram of experiment system

Devices (a) and die (b)

Pressure-stroke meters

Optical meter μM21

Coordinates of product profile displayed through lens and display screen

Establishment of product profile in Solidworks

Measure curve radius Rd

Input variables and survey values

Values of input variables in 15 experiments

Experimental products

Experiment results

3. Discussions

(1)

Coefficients of regression equation

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

(10)

(11)

(12)

(13)

(14)

(15)

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

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

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

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

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

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

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

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

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

4. Conclusions

ACKNOWLEDGMENTS

NOMENCLATURE

REFERENCES

Biography

Figure & Data

References

Citations

CITE

Download Citation

Format:

Include:

Figure

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Fig. 13

Fig. 14

Fig. 15

Fig. 16

Fig. 17

Measure curve radius R_d

Dependence of R_d on H* and S* when Q_ch = 80 bar

Dependence of R_d on H* and S* when Q_ch = 97.5 bar

Dependence of R_d on H* and S* when Q_ch = 115 bar

Dependence of R_d on H* and Q_ch when S* = 0.73(%)

Dependence of R_d on H* and Q_ch when S* = 0.91 (%)

Dependence of R_d on H* and Q_ch when S* = 1.02 (%)

Dependence of R_d on S* and Q_ch when H* = 23(%)

Dependence of R_d on S* and Q_ch when H* = 26 (%)

Dependence of R_d on S* and Q_ch when H* = 29(%)