Dataset for: Dynamic Interface Printing

Dataset for : Dynamic Interface Printing Callum Vidler1*, Michael Halwes1, Kirill Kolesnik1, Philipp Segeritz1,7, Matthew Mail1, Anders J. Barlow2, Emmanuelle M. Koehl5, Anand Ramakrishnan5,6, Daniel J. Scott7, Daniel E. Heath1,9, Kenneth B. Crozier3,4,8, David J. Collins1,9* Affiliations: 1Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia 2Materials Characterisation and Fabrication Platform (MCFP), The University of Melbourne, Parkville, Victoria, 3010, Australia 3School of Physics, The University of Melbourne, Victoria 3010, Australia 4Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria 3010, Australia 5Department of Plastic and Reconstructive Surgery, The Royal Melbourne Hospital, Victoria 3050, Australia 6 The University of Melbourne, Melbourne Medical School, Department of Surgery, Royal Melbourne Hospital, Parkville VIC 3050 7The Florey and Department of Biochemistry and Pharmacology, The University of Melbourne, Parkville, Victoria, 3010, Australia 8Australian Research Council (ARC) Centre of Excellence for Transformative Meta-Optical Systems, The University of Melbourne, Victoria 3010, Australia 9The Graeme Clark Institute, The University of Melbourne, Parkville 3052, Victoria, Australia *Corresponding authors E-mail: [email protected], [email protected] Additive manufacturing is an expanding multidisciplinary field encompassing applications including medical devices, aerospace components, microfabrication strategies, and artificial organs. Among additive manufacturing approaches, light-based printing technologies, including two-photon polymerization, projection micro stereolithography, and volumetric printing, have garnered significant attention due to their speed, resolution and/or potential applications for biofabrication. In this study, we introduce dynamic interface printing (DIP), a new 3D printing approach that leverages an acoustically modulated, constrained air-liquid boundary to rapidly generate cm-scale three-dimensional structures within tens of seconds. Distinct from volumetric approaches, this process eliminates the need for intricate feedback systems, specialized chemistry, or complex optics while maintaining rapid printing speeds. We demonstrate the versatility of this technique across a broad array of materials and intricate geometries, including those that would be impossible to print via conventional layer-by-layer methods. In doing so, we demonstrate the rapid fabrication of complex structures in-situ, overprinting, structural parallelisation, and biofabrication utility. Moreover, we showcase that the formation of surface waves at this boundary enables enhanced mass transport, material flexibility, and permits three-dimensional particle patterning. We therefore anticipate that this approach will be invaluable for applications where high resolution, scalable throughput, and biocompatible printing is required.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-19
DOI
https://doi.org/10.5281/zenodo.13340723
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dataset for: Dynamic Interface Printing

1 citations
Zenodo (CERN European Organization for Nuclear Research)
3D Printing in Biomedical Research
0.18
article

Dataset for: Dynamic Interface Printing

article en
1 citations

Abstract

Dataset for : Dynamic Interface Printing Callum Vidler1*, Michael Halwes1, Kirill Kolesnik1, Philipp Segeritz1,7, Matthew Mail1, Anders J. Barlow2, Emmanuelle M. Koehl5, Anand Ramakrishnan5,6, Daniel J. Scott7, Daniel E. Heath1,9, Kenneth B. Crozier3,4,8, David J. Collins1,9* Affiliations: 1Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia 2Materials Characterisation and Fabrication Platform (MCFP), The University of Melbourne, Parkville, Victoria, 3010, Australia 3School of Physics, The University of Melbourne, Victoria 3010, Australia 4Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria 3010, Australia 5Department of Plastic and Reconstructive Surgery, The Royal Melbourne Hospital, Victoria 3050, Australia 6 The University of Melbourne, Melbourne Medical School, Department of Surgery, Royal Melbourne Hospital, Parkville VIC 3050 7The Florey and Department of Biochemistry and Pharmacology, The University of Melbourne, Parkville, Victoria, 3010, Australia 8Australian Research Council (ARC) Centre of Excellence for Transformative Meta-Optical Systems, The University of Melbourne, Victoria 3010, Australia 9The Graeme Clark Institute, The University of Melbourne, Parkville 3052, Victoria, Australia *Corresponding authors E-mail: [email protected], [email protected] Additive manufacturing is an expanding multidisciplinary field encompassing applications including medical devices, aerospace components, microfabrication strategies, and artificial organs. Among additive manufacturing approaches, light-based printing technologies, including two-photon polymerization, projection micro stereolithography, and volumetric printing, have garnered significant attention due to their speed, resolution and/or potential applications for biofabrication. In this study, we introduce dynamic interface printing (DIP), a new 3D printing approach that leverages an acoustically modulated, constrained air-liquid boundary to rapidly generate cm-scale three-dimensional structures within tens of seconds. Distinct from volumetric approaches, this process eliminates the need for intricate feedback systems, specialized chemistry, or complex optics while maintaining rapid printing speeds. We demonstrate the versatility of this technique across a broad array of materials and intricate geometries, including those that would be impossible to print via conventional layer-by-layer methods. In doing so, we demonstrate the rapid fabrication of complex structures in-situ, overprinting, structural parallelisation, and biofabrication utility. Moreover, we showcase that the formation of surface waves at this boundary enables enhanced mass transport, material flexibility, and permits three-dimensional particle patterning. We therefore anticipate that this approach will be invaluable for applications where high resolution, scalable throughput, and biocompatible printing is required.

Zenodo (CERN European Organization for Nuclear Research)
The University of Melbourne (AU)
Openalex Percentile: Top 48%
3D Printing in Biomedical Research
0.18
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.