TY - JOUR
T1 - Numerical simulation of blow molding - Prediction of parison diameter and thickness distributions in the parison formation process
AU - Tanoue, Shuichi
AU - Kajiwara, Toshihisa
AU - Funatsu, Kazumori
AU - Terada, Kousuke
AU - Yamabe, Masashi
PY - 1996/8
Y1 - 1996/8
N2 - In our previous study, we calculated the time course of parison length in the parison formation stage, but it could predict only the parison area swell. The next target in our study is to calculate the parison diameter and thickness swell. Annular extrudate swell simulation is necessary for the understanding of various kinds of swelling ratios in blow molding. We have examined three kinds of swells (outer diameter, thickness, and area swells) obtained from simulation results of annular extrudate swell, using the Giesekus model, and have developed a method of predicting parison outer diameter and thickness swell values. The predicted values of parison outer diameters are discussed in comparison with experimental data, and reasonable results are obtained by the proposed method. This prediction method could also be applied to the parison formation process using a parison controller. As a result, it is possible to predict approximately the whole process of parison formation by numerical simulation.
AB - In our previous study, we calculated the time course of parison length in the parison formation stage, but it could predict only the parison area swell. The next target in our study is to calculate the parison diameter and thickness swell. Annular extrudate swell simulation is necessary for the understanding of various kinds of swelling ratios in blow molding. We have examined three kinds of swells (outer diameter, thickness, and area swells) obtained from simulation results of annular extrudate swell, using the Giesekus model, and have developed a method of predicting parison outer diameter and thickness swell values. The predicted values of parison outer diameters are discussed in comparison with experimental data, and reasonable results are obtained by the proposed method. This prediction method could also be applied to the parison formation process using a parison controller. As a result, it is possible to predict approximately the whole process of parison formation by numerical simulation.
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U2 - 10.1002/pen.10596
DO - 10.1002/pen.10596
M3 - Article
AN - SCOPUS:0030216398
SN - 0032-3888
VL - 36
SP - 2008
EP - 2017
JO - Polymer Engineering and Science
JF - Polymer Engineering and Science
IS - 15
ER -