Cargando…
Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling
The increasing demand for micro-injection molding process technology and the corresponding micro-molded products have materialized in the need for models and simulation capabilities for the establishment of a digital twin of the manufacturing process. The opportunities enabled by the correct process...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344937/ https://www.ncbi.nlm.nih.gov/pubmed/32599925 http://dx.doi.org/10.3390/mi11060614 |
_version_ | 1783556061941202944 |
---|---|
author | Loaldi, Dario Regi, Francesco Baruffi, Federico Calaon, Matteo Quagliotti, Danilo Zhang, Yang Tosello, Guido |
author_facet | Loaldi, Dario Regi, Francesco Baruffi, Federico Calaon, Matteo Quagliotti, Danilo Zhang, Yang Tosello, Guido |
author_sort | Loaldi, Dario |
collection | PubMed |
description | The increasing demand for micro-injection molding process technology and the corresponding micro-molded products have materialized in the need for models and simulation capabilities for the establishment of a digital twin of the manufacturing process. The opportunities enabled by the correct process simulation include the possibility of forecasting the part quality and finding optimal process conditions for a given product. The present work displays further use of micro-injection molding process simulation for the prediction of feature dimensions and its optimization and microfeature replication behavior due to geometrical boundary effects. The current work focused on the micro-injection molding of three-dimensional microparts and of single components featuring microstructures. First, two virtual a studies were performed to predict the outer diameter of a micro-ring within an accuracy of 10 µm and the flash formation on a micro-component with mass a 0.1 mg. In the second part of the study, the influence of microstructure orientation on the filling time of a microcavity design section was investigated for a component featuring micro grooves with a 15 µm nominal height. Multiscale meshing was employed to model the replication of microfeatures in a range of 17–346 µm in a Fresnel lens product, allowing the prediction of the replication behavior of a microfeature at 91% accuracy. The simulations were performed using 3D modeling and generalized Navier–Stokes equations using a single multi-scale simulation approach. The current work shows the current potential and limitations in the use of micro-injection molding process simulations for the optimization of micro 3D-part and microstructured components. |
format | Online Article Text |
id | pubmed-7344937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73449372020-07-09 Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling Loaldi, Dario Regi, Francesco Baruffi, Federico Calaon, Matteo Quagliotti, Danilo Zhang, Yang Tosello, Guido Micromachines (Basel) Article The increasing demand for micro-injection molding process technology and the corresponding micro-molded products have materialized in the need for models and simulation capabilities for the establishment of a digital twin of the manufacturing process. The opportunities enabled by the correct process simulation include the possibility of forecasting the part quality and finding optimal process conditions for a given product. The present work displays further use of micro-injection molding process simulation for the prediction of feature dimensions and its optimization and microfeature replication behavior due to geometrical boundary effects. The current work focused on the micro-injection molding of three-dimensional microparts and of single components featuring microstructures. First, two virtual a studies were performed to predict the outer diameter of a micro-ring within an accuracy of 10 µm and the flash formation on a micro-component with mass a 0.1 mg. In the second part of the study, the influence of microstructure orientation on the filling time of a microcavity design section was investigated for a component featuring micro grooves with a 15 µm nominal height. Multiscale meshing was employed to model the replication of microfeatures in a range of 17–346 µm in a Fresnel lens product, allowing the prediction of the replication behavior of a microfeature at 91% accuracy. The simulations were performed using 3D modeling and generalized Navier–Stokes equations using a single multi-scale simulation approach. The current work shows the current potential and limitations in the use of micro-injection molding process simulations for the optimization of micro 3D-part and microstructured components. MDPI 2020-06-24 /pmc/articles/PMC7344937/ /pubmed/32599925 http://dx.doi.org/10.3390/mi11060614 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Loaldi, Dario Regi, Francesco Baruffi, Federico Calaon, Matteo Quagliotti, Danilo Zhang, Yang Tosello, Guido Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling |
title | Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling |
title_full | Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling |
title_fullStr | Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling |
title_full_unstemmed | Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling |
title_short | Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling |
title_sort | experimental validation of injection molding simulations of 3d microparts and microstructured components using virtual design of experiments and multi-scale modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344937/ https://www.ncbi.nlm.nih.gov/pubmed/32599925 http://dx.doi.org/10.3390/mi11060614 |
work_keys_str_mv | AT loaldidario experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling AT regifrancesco experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling AT baruffifederico experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling AT calaonmatteo experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling AT quagliottidanilo experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling AT zhangyang experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling AT toselloguido experimentalvalidationofinjectionmoldingsimulationsof3dmicropartsandmicrostructuredcomponentsusingvirtualdesignofexperimentsandmultiscalemodeling |