Prediction and validation of the specific volume for inline warpage control in injection molding. (December 2021)
- Record Type:
- Journal Article
- Title:
- Prediction and validation of the specific volume for inline warpage control in injection molding. (December 2021)
- Main Title:
- Prediction and validation of the specific volume for inline warpage control in injection molding
- Authors:
- Hopmann, Christian
Xiao, Chenglong
Kahve, Cemi E.
Fellerhoff, Jan - Abstract:
- Abstract: The material-inherent specific volume behavior of polymers is highly important for producing dimensionally accurate injection molded parts since the shrinkage and the shrinkage-induced warpage are attributable to the specific volume behavior. Thereby, the prevalent process parameters melt temperature and cavity pressure significantly influence the prevailing specific volume. Many empirical models describe this pressure-specific volume-temperature (pvT) behavior. To minimize part warpage, a segmented dynamic mold temperature control has been developed which aims to homogenize the specific volume of a platen-shaped geometry. The mold temperature control is thereby controlled by a model predictive control concept, which predicts the local specific volume using an empirical pvT-model. A modified Tait-pvT-model is used for the prediction, which considers the effect of the cooling rate on the specific volume. To achieve homogenization of the local specific volume, the pvT-model is validated regarding its prediction accuracy by comparing the predicted specific volumes with specific volume measurements of molded test specimens using processing points with varying cooling rates. For the predictions of the final specific volumes, two approaches regarding the selection of the cooling rate were used. The results show that the selection of the cooling rate within the modified Tait model has a significant impact on the calculated final specific volume. Highlights: PartAbstract: The material-inherent specific volume behavior of polymers is highly important for producing dimensionally accurate injection molded parts since the shrinkage and the shrinkage-induced warpage are attributable to the specific volume behavior. Thereby, the prevalent process parameters melt temperature and cavity pressure significantly influence the prevailing specific volume. Many empirical models describe this pressure-specific volume-temperature (pvT) behavior. To minimize part warpage, a segmented dynamic mold temperature control has been developed which aims to homogenize the specific volume of a platen-shaped geometry. The mold temperature control is thereby controlled by a model predictive control concept, which predicts the local specific volume using an empirical pvT-model. A modified Tait-pvT-model is used for the prediction, which considers the effect of the cooling rate on the specific volume. To achieve homogenization of the local specific volume, the pvT-model is validated regarding its prediction accuracy by comparing the predicted specific volumes with specific volume measurements of molded test specimens using processing points with varying cooling rates. For the predictions of the final specific volumes, two approaches regarding the selection of the cooling rate were used. The results show that the selection of the cooling rate within the modified Tait model has a significant impact on the calculated final specific volume. Highlights: Part temperature evolution after ejection can be calculated inline using FDM with high accuracy. Specific volume can be calculated inline using real-time control equipment based on a modified Tait-Model. Specific volume of PP plate was measured on three points over the flow path using pycnometer. Effect of cooling rate on specific volume was studied by a segmented dynamic injection mold. The modified Tait-pvT-model can predict the real specific volume behavior at different cooling rates. … (more)
- Is Part Of:
- Polymer testing. Volume 104(2021)
- Journal:
- Polymer testing
- Issue:
- Volume 104(2021)
- Issue Display:
- Volume 104, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 104
- Issue:
- 2021
- Issue Sort Value:
- 2021-0104-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12
- Subjects:
- Injection molding -- Simulation -- Modelling -- Inline data acquisition -- Specific volume
Polymers -- Testing -- Periodicals
Polymères -- Tests -- Périodiques
620.1920287 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01429418 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.polymertesting.2021.107393 ↗
- Languages:
- English
- ISSNs:
- 0142-9418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6547.740500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20040.xml