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Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics

Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics

Published on: November 27, 2012

3D Printed lattice microstructures to mimic soft biological materials.

Luke K Johnson¹, Chris Richburg, Madelyn Lew

¹Department of Mechanical Engineering, University of Washington, Seattle, WA, United States of America. RR&D Center for Limb Loss and MoBility (CLiMB), VA Puget Sound Health Care System, Seattle, WA, United States of America.

Bioinspiration & Biomimetics

|September 14, 2018

Summary

Researchers 3D printed soft tissue with tunable mechanical properties using lattice microstructures. This method offers a viable alternative to traditional techniques for creating realistic biomechanical models.

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Area of Science:

Biomedical Engineering
Materials Science
Additive Manufacturing

Background:

Developing anatomically realistic 3D-printed biomechanical testbed models requires mechanically realistic soft tissues.
Existing methods like molding and casting are time-consuming and less versatile.

Purpose of the Study:

To develop a method for 3D printing mechanically realistic soft tissue.
To create a building block for anatomically realistic 3D-printed biomechanical testbed models.

Main Methods:

Utilized a Polyjet 3D printer to fabricate lattice microstructures.
Tested microstructures in compression to evaluate elastic profiles.
Varied lattice properties (element diameter, spacing, geometry, arrangement, rotation) to optimize stress-strain curves.

Main Results:

Element diameter and spacing significantly influenced the stress-strain profile.
Rotating lattice microstructures tended to linearize stress-strain curves.
A specific lattice design (simple cubic, cylindrical elements, 0.5mm diameter, 1.2mm spacing) closely matched the elastic profile of plantar fat.

Conclusions:

Lattice microstructures can reduce the Young's modulus of 3D-printed materials by three orders of magnitude.
This fine-tuning method provides a viable alternative to traditional soft tissue replication techniques.
Enables the creation of realistic biomechanical testbed models for research and development.