2021
DOI: 10.3390/polym13142309
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Pressure Equilibrium Time of a Cyclic-Olefin Copolymer

Abstract: Integrative simulation techniques for predicting component properties, based on the conditions during processing, are becoming increasingly important. The calculation of orientations in injection molding, which, in addition to mechanical and optical properties, also affect the thermal shrinkage behavior, are modeled on the basis of measurements that cannot take into account the pressure driven flow processes, which cause the orientations during the holding pressure phase. Previous investigations with a high-pr… Show more

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Cited by 3 publications
(2 citation statements)
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“…To prevent the over-curing of the LSR during LSR injection molding [ 6 , 7 ], five curing temperatures were used in this study. First of all, a vulcanizing hot-water temperature of 60 °C was employed to investigate the curing time [ 24 , 25 ] of the molding product. Figure 9 shows the temperature of a convex lens as a function of the vulcanization time.…”
Section: Resultsmentioning
confidence: 99%
“…To prevent the over-curing of the LSR during LSR injection molding [ 6 , 7 ], five curing temperatures were used in this study. First of all, a vulcanizing hot-water temperature of 60 °C was employed to investigate the curing time [ 24 , 25 ] of the molding product. Figure 9 shows the temperature of a convex lens as a function of the vulcanization time.…”
Section: Resultsmentioning
confidence: 99%
“…In the past few decades, various advanced computational methods have been applied in various fields of study such as chemical engineering [32][33][34][35][36][37], electrical and computer engineering [38][39][40][41], civil engineering [42][43][44], mechanical engineering [45][46][47][48][49][50][51], petroleum engineering [52][53][54][55][56][57][58][59][60][61][62][63], and environmental engineering [64,65], etc. The ANN has been demonstrated to be the most potent technique for classification and prediction among the aforementioned computational methods.…”
Section: Artificial Neural Networkmentioning
confidence: 99%