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Related Experiment Video

Updated: Nov 8, 2025

Design of an Open-Source, Low-Cost Bioink and Food Melt Extrusion 3D Printer

Design of an Open-Source, Low-Cost Bioink and Food Melt Extrusion 3D Printer

Published on: March 2, 2020

A Semi-Automatic Method to Create an Affordable Three-Dimensional Printed Splint Using Open-Source and Free Software.

Zhujiang Wang¹, Adam Dubrowski¹

¹Faculty of Health Sciences, Ontario Tech University, Oshawa, CAN.

|April 21, 2021

Summary

This summary is machine-generated.

A new semi-automatic method simplifies creating 3D printed splints from 3D scans. This approach requires minimal 3D modeling skills for medical professionals, making custom splint fabrication more accessible.

Keywords:

3d printed casts 3d printed splints

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Area of Science:

Biomedical Engineering
Medical Device Design
Additive Manufacturing

Background:

Three-dimensional (3D) printing enables lightweight, waterproof, and hygienic splint designs.
Current fabrication of 3D printed splints involves 3D scanning, 3D model creation, and printing.
A key challenge is designing 3D printable splint models, often requiring advanced 3D modeling expertise.

Purpose of the Study:

To present a semi-automatic method for generating 3D printable splint models from 3D scanned body segment geometry.
To overcome the need for extensive 3D modeling skills among medical professionals.
To provide a cost-effective and accessible solution for custom 3D printed splint fabrication.

Main Methods:

The proposed method involves three main steps: creating a draft splint lattice structure, optimizing the structure, and generating a 3D printable model.
Utilizes free and readily available software for the entire conversion process.
Demonstrated through the creation of a 3D printed wrist splint.

Main Results:

Successfully generated a 3D printable model for a wrist splint using the semi-automatic method.
The process is largely automated, reducing the technical barrier for medical professionals.
All software used is free, eliminating additional costs for model creation.

Conclusions:

The semi-automatic method significantly lowers the technical expertise required for 3D splint model design.
This approach enhances the feasibility of custom 3D printed splints for clinical applications.
The method's open-source demonstration promotes wider adoption and accessibility in healthcare.