Analysis of The Effect of Process Parameters On Part Wall Thickness Variation in Conventional Metal Spinning of CR-MN Austenitic Stainless Steels
Analysis of The Effect of Process Parameters On Part Wall Thickness Variation in Conventional Metal Spinning of CR-MN Austenitic Stainless Steels
© 2016 Journal of Mechanical Engineering. All rights reserved. Received revised form: 2015-10-22
DOI:10.5545/sv-jme.2015.2901 Original Scientific Paper Accepted for publication: 2015-12-17
Metal spinning is one of a number of flexible sheet forming processes which is a cost effective option for the production of parts with a very
high strength to weight ratio. Although the wall thickness of the formed part in conventional spinning is generally considered to be nearly
constant, a non uniform distribution of wall thickness is in fact observed. In this study, the wall thickness variation of a formed part made of
Cr-Mn austenitic stainless steel was analysed. The thickness variation was measured using an optical 3D scanning method and the influence
of mandrel speed, feed ratio and tool path profile (convex, concave and linear) on wall thickness variation was studied. A three-level full
factorial design of the experiment and ANOVA (Analysis of Variance) were used. The results show that the maximal variation in wall thickness is
observed in approximately half of the part wall height (thinning) and on the open end of the part (thickening). Feed ratio and roller path profile
are statistically significant factors governing wall thickness variation. There was no obvious effect from the variation in mandrel speed on the
thickness distribution.
Keywords: metal spinning, stainless steel, 3D optical scanning, wall thickness, ANOVA
Highlights
• Experimental study of conventional metal spinning of Cr-Mn austenitic stainless steel part.
• Analysis of spun part wall thickness distribution by optical 3D scanning method.
• Quantifying the significance of mandrel speed, feed ratio and tool path profile on the wall thickness variation by analysis of
variance (ANOVA).
• Identification of strong statistical significance of the tool path profile and feed ratio effect on wall thickness variation.
played a decisive role in the final wall thickness systematic investigation of the process using both
variations. They also concluded that the linear tool experimental and theoretical techniques, the possible
path profile is less complicated and helps to reveal causes of thinning in part wall thickness during
deformation characteristics. Concave paths are conventional spinning are still not fully understood
widely used, while convex paths are more suitable and a knowledge gap between academic research
for producing convex cone shapes such as container outcomes and industry requirements exists.
heads. The present paper analyses the results of
Wang and Long [17] applied finite element experimental investigations concerning the wall
analysis to study the effects of tool paths (linear, thickness distribution of spun parts made of Cr-Ni
concave, convex, and combined curve) on the variation austenitic stainless steel. The influence of mandrel
of wall thickness. They suggested that dominant in- speed, feed ratio and tool path profile on the spun
plane tensile radial strains may be the main reason parts wall thickness distribution was determined using
for wall thinning. The authors also reported that in statistical analysis.
a multi-pass conventional spinning process the wall
thickness decreased after each forward roller pass 1 EXPERIMENTAL SETUP AND METHODS
(the roller feeds towards the rim of the workpiece)
and there are almost no thickness changes during the 1.1 Experimental Samples and Set-Up
backward passes. Using a concave roller path tends to
greatly reduce wall thickness of the spun part, while For the production of the experimental samples,
using a convex roller path helps to keep the original whose shape and dimensions are shown in Fig. 1, a
wall thickness unchanged. A greater curvature of the circular blank with an outer diameter of D0 = 200 mm,
concave path would result in more thinning of the prepared by AWJ machining technology, was used.
wall thickness of the part. The sheet used was made of austenitic stainless steel
Essa and Hartley [18] and [19] applied a finite X5CrNi18-10 (DIN 1.4301). The basic mechanical
element model for their study of the thickness properties that define the material plasticity (ultimate
distribution of aluminium cylindrical cups produced tensile strength (Rm), 0.2 % proof strength (Rp0.2)
by conventional spinning. They found that by using and elongation (A80)) of the experimental material is
a roller path profile of an involute curve in the first shown in Table 1.
pass followed by a linear path profile in the second
Table 1. Mechanical properties of the experimental material
pass, minimum sheet thinning and a more uniform
stress distribution could be obtained. Rm [MPa] Rp0.2 [MPa] Rp0.2 / Rm [-] A80 [%]
Polyblank and Alwood in their study [20] showed 604 235 0.39 59.7
that toolpath design in spinning involves finding
a balance between the need for deformation and The experimental samples were produced on a
the avoidance of failure by wrinkling and thinning. DENN spinning machine, type Zenn-80 equipped
They suggest that in order to reduce thinning during with a Sinumeric 840-D CNC control unit (Fig. 2).
the metal spinning process, a greater number of less The mandrel made of Cr-Mo alloy steel
aggressive passes should be used. (X155CrVMo12-1) with a hardness of 56 ± 2 HRC
Although knowledge about the mechanics of and a forming roller also made of Cr-Mo alloy steel
spinning, which helps us to understand the final (X155CrVMo12-1) with a hardness of 54 HRC was
properties of the spun parts, has been developed by used.
Analysis of the Effect of Process Parameters on Part Wall Thickness Variation in Conventional Metal Spinning of Cr-Mn Austenitic Stainless Steels 173
Strojniški vestnik - Journal of Mechanical Engineering 62(2016)3, 171-178
1.2 Method of Wall Thickness Measurement three directions were taken into account for the final
evaluation.
For the experimental measurement of geometrical The 3D optical measurement method has been
accuracy, a non-contact data capture method was validated by the contact measurement method using a
used. The samples were digitized using the optical digital micrometer with pointed measuring faces and
3D system GOM ATOS II TripleScan SO MV 320 a resolution of 0.001 mm. The plot of deviations of
controlled by the software application GOM ATOS measured data shows good agreement between the
Professional v.7.4 [21] and [22]. The sample was results of these measurements (Fig. 6).
scanned on a rotary table (10 scans rotated in 36°
increments) from both the inside and outside. For a
Fig. 7. Effect of feed ratio on wall thickness variation (Expanded uncertainty of the measure U = 3 μm (k = 2; confidence level 95 %))
Fig. 8. Effect of mandrel speed on wall thickness variation (Expanded uncertainty of the measure U = 3 μm (k = 2; confidence level 95 %))
Fig. 9. Effect of tool path profiles on wall thickness variation (Expanded uncertainty of the measure U = 3 μm (k = 2; confidence level 95 %))
Table 3. ANOVA for thickness variation at a distance of 13 mm Table 4. ANOVA for thickness variation at a distance of 25 mm
from cup bottom from cup bottom
Source Sum of squares DF F-ratio p-value Source Sum of squares DF F-ratio p-value
tpp 371.949 2 533.90 0.000 tpp 211.736 2 196.76 0.000
n 4.776 2 6.85 0.018 n 5.909 2 5.49 0.032
f 148.296 2 212.86 0.000 f 4.807 2 4.47 0.050
tpp×n 14.249 4 10.23 0.003 tpp×n 0.676 4 0.31 0.861
tpp×f 7.616 4 5.47 0.020 tpp×f 16.484 4 7.66 0.008
n×f 2.329 4 1.67 0.248 n×f 1.191 4 0.55 0.703
Error 2.787 8 Error 4.304 8
Total 552.000 26 Total 245.107 26
Tabulated F-test values at 95 % confidence level: Tabulated F-test values at 95 % confidence level:
F (0.05; 2.8) = 4.46; F (0.05; 4.8) = 3.84; R2adj = 94.29 % F (0.05; 2.8) = 4.46; F (0.05; 4.8) = 3.84; R2adj = 98.36 %
Analysis of the Effect of Process Parameters on Part Wall Thickness Variation in Conventional Metal Spinning of Cr-Mn Austenitic Stainless Steels 175
Strojniški vestnik - Journal of Mechanical Engineering 62(2016)3, 171-178
maximal thickening (axial distance of 25 mm from the The results further showed that for part wall
cup bottom) are shown in Tables 3 and 4. thinning there is a significant interaction among the
The results of ANOVA show that all of the input parameters, which is the tool path profile – feed
main input factors have statistically significant ratio (p-value: 0.01 to 0.05), and a very significant
(p-value: 0.01 to 0.05) or extremely significant interaction among the input parameters, which is the
(p-value < 0.0001) influence on wall thickness tool path profile – mandrel speed (p-value: 0.001 to
variation. The most significant effect of tool path 0.01). For part wall thickening there is only one very
profile on the wall thickness variation is clearly seen significant interactive influence: the tool path profile
in both measured areas. The thinning of the part – feed ratio.
wall is also affected by feed rate, mandrel speed has The determination coefficients, R2adj = 94.29 %
minimal effect. The thickening of the part wall is also for part wall thinning and R2adj = 98.36 % for part
influenced not only by the tool path profile, but also wall thickening, demonstrate that the models are well
by the mandrel speed and feed ratio. fitted.
a a
-8
10
-10
8
-12
7.31
-12.79 -13.37 6.79
6.76
6 6.17
-14
-13.53 -13.78
-16
4
-18
400 800 1200 400 800 1200
Mandrel speed [rpm] Mandrel speed [rpm]
b b
-8
10
Thickness variation [%]
Thickness variation [%]
-10
-10.91
8
-12 7.27
-12.67 6.76 6.76
-13.37
6.23
-14 6
-16
-16.52 4
-18
0.5 1.5 2.0
0.5 1.5 2.0
Feed ratio [mm/rev] Feed ratio [mm/rev]
c c
-8
-8.58
10
9.76
Thickness variation [%]
-10
8
-12 7.48
6.76
-13.37
-14 -13.90 6
-16
4
-17.62 3.02
-18
1 2 3 1 2 3
Tool path profile Tool path profile
Fig. 10. The main effects of parameters on part wall thinning: Fig. 11. The main effects of parameters on part wall thickening:
a) mandrel speed, b) feed ratio and c) tool path profile a) mandrel speed, b) feed ratio and c) tool path profile
Fig. 10 shows graphs of the effects of the input 5. The finding related to the tool path profile and
parameters on the part wall thickness in the area of feed ratio influence on wall thickness variation
maximal thinning. It is clear that maximal thinning agrees with the results of other authors who
was observed when the concave tool path profile was have studied this problem experimentally and by
used. The convex tool path profile leads to minimal applying FE analysis for other types of spun part
thinning. The graphs also show that higher values materials (mild steel, aluminium) [12], [14], [17]
of feed ratio decrease the part wall thinning. There and [24].
is a specific situation in the case of mandrel speed. 6. The influence of mandrel speed on wall thickness
Minimal thinning is reached when the mandrel speed variation in both regions of the part wall is only
is set to a value of 800 min–1. In both cases, when minimal. The findings can be expressed thus:
the mandrel speed value is higher or lower, a higher mandrel speed has negligible influence on axial
degree of part wall thinning is observed. and radial force components [10], therefore radial
The effects of the main input parameters on part and thickness strain is minimal.
wall thickness in the area of maximal thickening 7. For minimal variation in spun part wall thickness
are shown in Fig. 11. It can be seen that dominant it is recommended to apply a convex tool path in
thickening has been achieved for the convex tool combination with higher values of the feed ratio.
path profile. The minimum value of thickening was
recorded in the case where the concave tool path 4 ACKNOWLEDGEMENTS
profile was applied. From the feed ratio point of view,
minimal thickening was observed in the case where The authors wish to acknowledge the financial support
the maximal value of the feed ratio was applied and provided by the Ministry of Education, Science,
the maximal value of thickening was reported for the Research and Sport of the Slovak Republic project
middle value of the feed ratio. VEGA 1/0669/15 and the research project Manunet:
FormTool MANUNET-2014-11283. The authors also
3 CONCLUSIONS wish to thank MSc. E. Eiben and MSc. G. Eiben of
Eiben Co. Ltd. for their technical assistance.
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