Modeling the replication of submicron-structured surfaces by micro injection molding
The replication of submicron surface structures by micro injection molding is a crucial factor in achieving advanced functionalities, such as antimicrobial resistance, in mass-produced plastic products. In this work, we investigate and model the replication quality of laser-induced periodic surface...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127520308078 |
| _version_ | 1818970292967440384 |
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| author | Leonardo Piccolo Kyle Puleo Marco Sorgato Giovanni Lucchetta Davide Masato |
| author_facet | Leonardo Piccolo Kyle Puleo Marco Sorgato Giovanni Lucchetta Davide Masato |
| author_sort | Leonardo Piccolo |
| collection | DOAJ |
| description | The replication of submicron surface structures by micro injection molding is a crucial factor in achieving advanced functionalities, such as antimicrobial resistance, in mass-produced plastic products. In this work, we investigate and model the replication quality of laser-induced periodic surface structures by micro injection molding of different bio-based polymers. A comprehensive multiscale model was developed to predict the submicron scale polymer flow, using a numerical model to analyze the polymer behavior in the mold macro cavity and determine the boundary conditions for the filling of the surface structures. The replication of the mold topography was modeled considering topographical parameters, polymer rheology and thermal behavior, and the mold surface energy, which was modified by depositing an atomic layer of alumina on the steel surface structures. The modeling approach was validated against injection molding experiments, in which the mold temperature was varied due to its well-known influence on replication. The sensitivity to polymer selection, mold surface properties, and mold temperature, was captured. A maximum error of 8% showed the accuracy of the multi-scale model. |
| first_indexed | 2024-12-20T14:34:10Z |
| format | Article |
| id | doaj.art-b646d6dc73e8452c851b4831733a3e96 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-12-20T14:34:10Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-b646d6dc73e8452c851b4831733a3e962022-12-21T19:37:31ZengElsevierMaterials & Design0264-12752021-01-01198109272Modeling the replication of submicron-structured surfaces by micro injection moldingLeonardo Piccolo0Kyle Puleo1Marco Sorgato2Giovanni Lucchetta3Davide Masato4Department of Plastics Engineering, University of Massachusetts Lowell, One University Avenue, Lowell, MA, USA; Department of Industrial Engineering, University of Padova, via Venezia 1, Padova, ItalyDepartment of Plastics Engineering, University of Massachusetts Lowell, One University Avenue, Lowell, MA, USADepartment of Industrial Engineering, University of Padova, via Venezia 1, Padova, ItalyDepartment of Industrial Engineering, University of Padova, via Venezia 1, Padova, Italy; Corresponding author.Department of Plastics Engineering, University of Massachusetts Lowell, One University Avenue, Lowell, MA, USAThe replication of submicron surface structures by micro injection molding is a crucial factor in achieving advanced functionalities, such as antimicrobial resistance, in mass-produced plastic products. In this work, we investigate and model the replication quality of laser-induced periodic surface structures by micro injection molding of different bio-based polymers. A comprehensive multiscale model was developed to predict the submicron scale polymer flow, using a numerical model to analyze the polymer behavior in the mold macro cavity and determine the boundary conditions for the filling of the surface structures. The replication of the mold topography was modeled considering topographical parameters, polymer rheology and thermal behavior, and the mold surface energy, which was modified by depositing an atomic layer of alumina on the steel surface structures. The modeling approach was validated against injection molding experiments, in which the mold temperature was varied due to its well-known influence on replication. The sensitivity to polymer selection, mold surface properties, and mold temperature, was captured. A maximum error of 8% showed the accuracy of the multi-scale model.http://www.sciencedirect.com/science/article/pii/S0264127520308078Multi-scale modelingPolymer flowMicro injection moldingMold surface engineering |
| spellingShingle | Leonardo Piccolo Kyle Puleo Marco Sorgato Giovanni Lucchetta Davide Masato Modeling the replication of submicron-structured surfaces by micro injection molding Materials & Design Multi-scale modeling Polymer flow Micro injection molding Mold surface engineering |
| title | Modeling the replication of submicron-structured surfaces by micro injection molding |
| title_full | Modeling the replication of submicron-structured surfaces by micro injection molding |
| title_fullStr | Modeling the replication of submicron-structured surfaces by micro injection molding |
| title_full_unstemmed | Modeling the replication of submicron-structured surfaces by micro injection molding |
| title_short | Modeling the replication of submicron-structured surfaces by micro injection molding |
| title_sort | modeling the replication of submicron structured surfaces by micro injection molding |
| topic | Multi-scale modeling Polymer flow Micro injection molding Mold surface engineering |
| url | http://www.sciencedirect.com/science/article/pii/S0264127520308078 |
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