Modeling the replication of submicron-structured surfaces by micro injection molding. (15th January 2021)

• Record Type: Journal Article
• Authors: Piccolo, Leonardo; Puleo, Kyle; Sorgato, Marco; Lucchetta, Giovanni; Masato, Davide
• Is Part Of: Materials & design. Volume 198(2021)
• Publication Date: 2021-01-15
• Subjects: Multi-scale modeling -- Polymer flow -- Micro injection molding -- Mold surface engineering; Materials -- Periodicals; Engineering design -- Periodicals; Matériaux -- Périodiques; Conception technique -- Périodiques; Electronic journals; 620.11
• DOI: 10.1016/j.matdes.2020.109272
• Languages: English
• ISSNs: 0264-1275

Abstract

Abstract: 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. Graphical abstract: Unlabelled Image Highlights: A novel multi-scale numerical model for submicron scale polymer flow was developed. The model considers topographical parameters, polymer thermal and rheologic properties, and mold surface wettability. The model is validated by experimental data, showing a maximum deviation of 8%. Model sensitivity to the mold, polymer, and processing variables are analyzed.