Considering microtexture geometry to improve micro-injection molding fidelity

Abstract Micro-injection molding ( μ IM) is an attractive manufacturing technique to produce microstructured parts at low cost and high throughput. However, due to the small feature sizes to be molded, μ IM presents unique engineering challenges to overcome. Accordingly, extensive research has focused on improving the mold design and molding parameters in order to improve the limitations and ultimately the replication fidelity of the process. In this report, we investigate one variable that has not yet been considered: the microstructure’s geometric pattern. Hence, we used laser micromachining techniques to inscribe geometric arrays of hierarchical micropillars in the shapes of squares, rhombuses, hexagons, and triangles. By developing a novel analysis protocol based on the roughness of ‘microbumps’ transferred from the mold to the replicates, our results demonstrate that triangular and hexagonal microstructure arrays lead to higher replication fidelity due to their improved air drainage properties compared to the other geometries tested. In addition, to put the geometry’s influence into a broader perspective, we also tested several molding parameters including the holding pressure, melt temperature, mold temperature, and choice of polymer resin. We found that the use of high holding pressure is most strongly correlated with high replication fidelity, whereas the temperature and resin variables had a relatively small impact on our molding process.

Authors

Institutions

Publication Details

Journal
Journal of Micromechanics and Microengineering
Published
2025-06-17
DOI
https://doi.org/10.1088/1361-6439/ade160
Citations
1
Primary Topic
Injection Molding Process and Properties
Type
article
Field-Weighted Citation Impact
0.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Considering microtexture geometry to improve micro-injection molding fidelity

Nicole R. Demarquette, Damon G. K. Aboud, Anne‐Marie Kietzig, Denis Rodrigue
1 citations
Journal of Micromechanics and Microengineering
Injection Molding Process and Properties
0.71
article

Considering microtexture geometry to improve micro-injection molding fidelity

Nicole R. Demarquette, Damon G. K. Aboud, Anne‐Marie Kietzig, Denis Rodrigue
article en
1 citations

Abstract

Abstract Micro-injection molding ( μ IM) is an attractive manufacturing technique to produce microstructured parts at low cost and high throughput. However, due to the small feature sizes to be molded, μ IM presents unique engineering challenges to overcome. Accordingly, extensive research has focused on improving the mold design and molding parameters in order to improve the limitations and ultimately the replication fidelity of the process. In this report, we investigate one variable that has not yet been considered: the microstructure’s geometric pattern. Hence, we used laser micromachining techniques to inscribe geometric arrays of hierarchical micropillars in the shapes of squares, rhombuses, hexagons, and triangles. By developing a novel analysis protocol based on the roughness of ‘microbumps’ transferred from the mold to the replicates, our results demonstrate that triangular and hexagonal microstructure arrays lead to higher replication fidelity due to their improved air drainage properties compared to the other geometries tested. In addition, to put the geometry’s influence into a broader perspective, we also tested several molding parameters including the holding pressure, melt temperature, mold temperature, and choice of polymer resin. We found that the use of high holding pressure is most strongly correlated with high replication fidelity, whereas the temperature and resin variables had a relatively small impact on our molding process.

Journal of Micromechanics and MicroengineeringVol. 35(6)
Université Laval (CA), McGill University (CA), École de Technologie Supérieure (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 31%
Injection Molding Process and Properties
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Considering microtexture geometry to improve micro-injection molding fidelity — Nicole R. Demarquette, Damon G. K. Aboud, et al. · Journal of Micromechanics and Microengineering (2025) | TGRS Research Map | TGRS