Blow molded parts require a strict control of the part thickness distributions so as to achieve the required mechanical performance and to minimize the usage of material. In this paper, an optimization algorithm combining iterative learning control (ILC) with fuzzy logic was used to get the optimal parison thickness distributions for a part with uniform wall thickness distribution. Instead of using the pure numerical method, engineer knowledge and experience were combined in the optimization algorithm using fuzzy rules. It was shown that the fuzzy ILC algorithm is effective to obtain the optimal parison thickness distributions.

1.
Rosato, D. V., Rosato, A. V., and DiMattia D. P., eds., 2004, Blow Molding Handbook, 2nd Edition, Hanser.
2.
Laroche
D
,
Kabanemi
K. K.
,
Pecora
L.
, and
DiRaddo
R. W.
,
1999
, “
Integrated Numerical Modeling of the Blow Molding Process
.”
Polym. Eng. Sci.
, Vol.
39
, pp.
1223
1233
.
3.
Lee
D. K.
and
Soh
S. K.
,
1996
, “
Prediction of Optimal Preform Thickness Distribution in Blow Molding
.”
Polym. Eng. Sci.
, Vol.
36
, pp.
1513
1520
.
4.
Gauvin
C.
,
Thibault
F.
, and
Laroche
D.
,
2003
, “
Optimization of Blow Molded Part Performance through Process Simulation
.”
Polym. Eng. Sci.
, Vol.
43
, pp.
1407
1414
.
5.
DiRaddo
R. W.
and
Garcia-Rejon
A.
,
1993
, “
On-Line Prediction of Final Part Dimensions in Blow Molding: A Neural Network Computing Approach
.”
Polym. Eng. Sci.
, Vol.
33
, pp.
653
664
.
6.
DiRaddo
R. W.
and
Garcia-Rejon
A.
,
1993
, “
Modeling of Membrane Inflation in Blow Molding: Neural Network Prediction of Initial Dimensions from Final Part Specifications
,”
Adv. Polym. Technol.
, Vol.
12
, pp.
3
24
.
7.
Huang
H. X.
and
Liao
C. M.
,
2002
, “
Prediction of Parison Swell in Plastics Extrusion Blow Molding Using a Neural Network Method
.”
Polym. Test
, Vol.
21
, pp.
745
749
.
8.
Huang
H. X.
and
Lu
S.
2005
, “
Modeling Parison Formation in Extrusion Blow Molding by Neural Networks
.”
J. Appl. Sci.
, Vol.
96
, pp.
2230
2239
.
9.
Huang
G. Q.
and
Huang
H. X.
,
2005
, “
Thickness Optimization of Blow Molded Parts Using FEM/ANN/GA Methods
.”
SPE ANTEC Tech paper
, Vol.
1
, pp.
24
27
.
10.
Fluent Inc., 2001, Polyflow 3.9 User’s Guide.
11.
Debbaut
B.
and
Homerin
O.
,
1999
, “
A Comparison Between Experiments and Predictions for the Blow Molding of an Industrial Part
.”
Polym. Eng. Sci.
, Vol.
39
, pp.
1812
1822
.
This content is only available via PDF.
You do not currently have access to this content.