[article]
| Titre : |
Predicting the replication fidelity of injection molded solid polymer microneedles |
| Type de document : |
texte imprimé |
| Auteurs : |
Tim Evens, Auteur ; Sylvie Castagne, Auteur ; David Seveno, Auteur ; Albert Van Bael, Auteur |
| Année de publication : |
2022 |
| Article en page(s) : |
p. 237-254 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Matières plastiques -- Moulage par injection
Micro-aiguilles
Polycarbonates
Polypropylène
Prévision, Théorie de la
Réplication (technologie)
Simulation par ordinateur
|
| Index. décimale : |
668.9 Polymères |
| Résumé : |
Microneedles are sharp microscopic features, which can be used for drug or vaccine delivery in a minimally invasive way. Recently, we developed a method to produce polymer microneedles using laser ablated molds in an injection molding process. At this moment, extensive injection molding experiments are needed to investigate the replication fidelity. Accurate predictions of the injection molding process would eliminate these costly and time expensive experiments. In this study, we evaluated the replication fidelity of solid polymer microneedles using numerical simulations and compared the results to injection molding experiments. This study was performed for different sizes of microneedles, different thermoplastics (polypropylene and polycarbonate) and different mold materials (tool steel, copper alloy and aluminium alloy). Moreover, different processing conditions and different locations of the microneedles on the macroscopic part were considered. A good correlation with experimental findings was achieved by optimizing the heat transfer coefficient between the polymer and the mold, while using a multiscale mesh with a sufficient number of mesh elements. Optimal heat transfer coefficients between 10,000 and 55,000 W/m2 K were found for the different combinations of polymer and mold materials, which resulted in an accuracy of the simulated microneedle replication fidelity between 94.5 and 97.0%. |
| Note de contenu : |
- MATERIALS AND METHODS : Thermoplastic polymers - Mold insert -
Injection molding product - Injection molding experiments
- INJECTION MOLDING SIMULATIONS SETTINGS : It can be assumed that the macroscopic flow - Simulation parameters in Moldex3D - Mesh convergence study using multi-scale meshing - Heat transfer coefficient - Replication fidelity in function of the location of the microfeatures - Replication fidelity in function of the injection molding parameter - Replication fidelity in function of the mold material
- RESULTS AND DISCUSSION : Macroscopic flow - Mesh convergence study - Effect of the heat transfer coefficient - Replication fidelity in function of the location of the microfeatures - Replication fidelity in function of the injection molding parameters - Replication fidelity in function of the mold material
- Table 1 : Main properties of the thermoplastics based on material datasheets and the Moldex3D 2020 material database
- Table 2 : Thermal properties of the different mold materials based on material datasheets
- Table 3 : Injection molding process parameters for the two thermoplastic materials
- Table 4 : Default and adapted simulation parameters in Moldex3D
- Table 5 : Adapted injection molding process parameters for the two thermoplastic materials
- Table 6 : Heat transfer coefficients, corresponding to a minimal average absolute deviation between the simulated and experimentally determined replication fidelity, for the PP and PC in combination with the tool steel, the aluminium alloy and the copper alloy mold insert
|
| DOI : |
https://doi.org/10.1515/ipp-2021-4207 |
| En ligne : |
https://drive.google.com/file/d/1oNumrisvhCE-7j_vpdYOWG6Ed6AmPXcr/view?usp=shari [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=37904 |
in INTERNATIONAL POLYMER PROCESSING > Vol. 37, N° 3 (2022) . - p. 237-254
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Predicting the replication fidelity of injection molded solid polymer microneedles in INTERNATIONAL POLYMER PROCESSING, Vol. 37, N° 3 (2022)
