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Moldflow MPI
CD-ROM
S/N
The mold flow analysis of the injection
molding process using Taguchi method and
grey relational analysis
Abstract
This article makes use of quality engineering program of the Taguchi method and the
grey relational analysis to develop the procedure about the many distinct engineering factors
effect the quality of objective on the injection molding process. We also collocates the mold
flow analytical software of Moldflow MPI to process the mold flow analysis.
Simultaneously, it analyzes and proves the influence of the many distinct engineering factors
on the quality of objective each other, from many experiment result of each engineering
factor's combination, to establish the optimal process of plastics injection molding in order to
execute the effective computer simulation. We take the warping phenomenon of CD-ROM
disk pallet for an example, in accordance with the process of variation of signal to noise ratio
and the grey relation analysis for each engineering factor upon the distribution of shear
stress, acquire that the result for the influences of the objective quality will identically. The
arrangement of effect magnitude is the temperature of melt, filling time, filling pressure and
temperature of mold. From the degree of contribution or relation we obtain that the
noticeable variations are the temperature of melt and filling time. Those factors will increase
the quality of product. The filling pressure and temperature of mold, the unnoticeable
variations, will be the basis to reduce cost.
Key words : Taguchi method, grey relational analysis, signal to noise ratio, degree of relation,
injection of form.Ko-Ta Chiang : Associate Professor, Department of Mechanical Engineering, HIT
[1,2]
(CAE)
(CAE)
C-mold moldflow Moldex
Kamal and Keing [3]
Wu et al. [4]
N o n -
Newtonian fluid Behavior
Hieber and Shen [5]
Hele-
S h a w [ 6 ] N o n -
Newtonian fluid
Chiang et al. [7]
Hele-Shaw[6] Hetu et al. [8]
3D
Pandelidis and Zou [9]
Choi et al. [10]
Neural network
(CAE)
CAE CAE
(try-and-error)
( Ta g u c h i
Method) [11]
1923 R. A. Fisher [12]
(orthogonal array) (signal to
noise ratio, S/N) (analysis of
variance, ANOVA) (response
table) (response graph)
(Taguchi Method)
[13,14]
[15,16]
[17]
( G r e y
system)
[18-22]
[23]
Laing[24] Chang
et. al. [25]
I-deas Master Series 8
Moldflow MPI
CD-ROM
(orthogonal array)
(signal to noise ratio,
S/N) (analysis of variance,
ANOVA) (response table)
(response graph)
(the larger-the-
better ) (the smaller-the-
better ) (the nominal-the-
better )
(
)
S/N S/N
M.S.D.
(the mean square
deviation)
S/N
S / N
Q(X) R
Xi
X0(k) Xi(k) i 0
Xi(k) X0(k)
Xi X0
[18-22]
1.
2.
3.
4.
Xi(k) X0(k)
[18-22 ]
ξ
0 1 0.5 [18-
22]
m i n
max
ri (k)
0.5
ri (k)
Xi Xo
r ( Xo Xi )
CD-ROM
ABS PA-746
187 127 18(mm)
1.5mm 3D
(shear stress)
CD-ROM
1.
2.
3.
ABS
L9
Moldflow MPI
S/N
yi n
S/N
A3 B1 C1
D 1 A 1
B2 C2 D3 S/N
S/N
0.5
Xi
Xo
r ( Xo Xi )
Xo
Xi r (
Xo Xi )
1.2565
S/N
92.64%
4.31%
I-deas Master Series 8
Moldflow MPI
CD-ROM
S/N
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