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Voxel Harvest: Multi-sensory Design of a Biomedical Device from Image-Based Inputs

  • Sayjel Vijay PatelEmail author
  • Nathan Kiatkulpiboone
Conference paper
  • 507 Downloads

Abstract

This paper introduces a multi-sensory design tool and collaborative workflow for bitmap 3D printing. The tool allows for the synthesis of functional microstructures and textures for products. By harmonizing different material and anatomical image data sets, the multi-model workflow fosters new opportunities for interdisciplinary collaboration at the concept generation stage. The primary contribution of this research is a simplified system of voxel-based, generative algorithms for 3D printing. A case study applies the tool and workflow in the context of bio-medical device design.

Keywords

3D printing 3D scanning Voxel print Bio-design Texture synthesis 

Notes

Acknowledgements

The authors would like to thank the Singapore University of Technology and Design (SUTD) Digital Manufacturing and Design Centre, the Dubai Institute of Design and Innovation (DIDI), Stratasys, and GrabCAD for supporting the work. We would also like to thank Martin Dunn, Gan Wee Tze, and Lynn Toh for their generous support and insights through the duration of the project.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Dubai Institute of Design and InnovationDubaiUAE
  2. 2.KXIVSingaporeSingapore

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