# 3D Printing of Air

**Authors:** Deepak Gupta, Henrique Luis Piva, Vaibhav Pal, Suihong Liu, Syed Hasan Askari Rizvi, Mecit Altan Alioglu, Yasar Ozer Yilmaz, Annie Smith, Logan Haugh, Joao Vitor Silva Robazzi, Jade Sency, Myoung Hwan Kim, Thomas Neuberger, Francesco Costanzo, Ibrahim T. Ozbolat

PMC · DOI: 10.21203/rs.3.rs-7762382/v1 · Research Square · 2025-10-28

## TL;DR

Researchers developed a new 3D printing method using air as an ink to create freeform air channels in various materials.

## Contribution

The study introduces '3D printing of air' using air bubbles as an intangible ink with low viscosity.

## Key findings

- Air can be printed as a stable ink with ~109 times less viscosity than conventional inks.
- Stable air channels with high aspect ratios (~4×10⁴) can be formed using yield stress and nozzle diameter control.
- Machine learning is used to predict air printability based on material properties.

## Abstract

Historically, three-dimensional (3D) printing involved depositing tangible materials onto a substrate or within a supporting medium to create solid and porous architectures. Here, we unveil 3D printing of air, an intangible and invisible ink having ~109 times less viscosity than conventional inks, to spatially pattern bubbles and fabricate freeform air channels in 3D within diverse materials. This study delves into air bubble dynamics, encompassing formation, deformation, spatiotemporal stability in non-spherical configurations, and interaction within yield stress materials. We integrate machine learning algorithms to predict air printability based on material properties, providing a framework for rational material selection. The interplay between yield stress, viscosity, and nozzle diameter facilitates the formation of stable air channels with extremely high aspect ratios (~ 4×104). These insights establish a foundation for harnessing air as a printable medium and as a functional ink in applications spanning biology, optics, material science, engineering, and medicine.

## Full-text entities

- **Genes:** CDH5 (cadherin 5) [NCBI Gene 1003] {aka 7B4, CD144}, RUNX2 (RUNX family transcription factor 2) [NCBI Gene 860] {aka AML3, CBF-alpha-1, CBFA1, CCD, CCD1, CLCD}, BGLAP (bone gamma-carboxyglutamate protein) [NCBI Gene 632] {aka BGP, OC, OCN}
- **Diseases:** cytotoxicity (MESH:D064420), cancer (MESH:D009369), stenosis (MESH:D003251), breast cancer (MESH:D001943)
- **Chemicals:** silicone (MESH:D012828), doxorubicin (MESH:D004317), phalloidin (MESH:D010590), serpentine (MESH:C009244), 3DAirP (-), gallium (MESH:D005708), DAPI (MESH:C007293), water (MESH:D014867), oil (MESH:D009821), carbohydrate (MESH:D002241), silicon (MESH:D012825), carbon (MESH:D002244)
- **Species:** Gallus gallus (bantam, species) [taxon 9031], Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** S23A — Mus musculus (Mouse), Hybridoma (CVCL_N330), MDA-MB-231 — Homo sapiens (Human), Breast adenocarcinoma, Cancer cell line (CVCL_0062), HUVEC — Homo sapiens (Human), Finite cell line (CVCL_2959)

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12636748/full.md

## References

49 references — full list in the complete paper: https://tomesphere.com/paper/PMC12636748/full.md

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Source: https://tomesphere.com/paper/PMC12636748