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

  • Sayjel Vijay PatelEmail author
  • Nathan Kiatkulpiboone
Conference paper


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.


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



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.


  1. 1.
    Rolland, B.: Data Sharing and Reuse: Expanding Our Concept of Collaboration. Accessed 11 June 2019
  2. 2.
    Schifferstein, H.N.J., Desmet, P.M.A.: Tools facilitating multisensory product design. Des. J. 11(2), 137–158 (2008)Google Scholar
  3. 3.
    Patel, S.V., Tam, K.M.M., Mueller, C.: 3DJ: an analytical and generative design system for synthesizing high-performance textures from 3D scans. In: Gero, J. (eds.) Design Computing and Cognition 2016. Springer, Cham (2016)Google Scholar
  4. 4.
    Schifferstein, H.N.J.: Multisensory design. In: ACM Proceeding of the DESIRE 2011 conference—creativity and innovation in design, Eindhoven, The Netherlands (2011)Google Scholar
  5. 5.
    Erickson, A.: Create the future with new grabcad voxel print. Accessed 11 June 2019
  6. 6.
    Ou, J., Dublon, G., Cheng, C.Y., Heibeck, F., Willis, K., Ishii, H.: Cilllia: 3D printed micro-pillar structures for surface texture, actuation and sensing. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI 2016), Presented in Santa Clara, California (2016)Google Scholar
  7. 7.
    Weeger, O., Kang, Y.S.B., Yeung, S.K., Dunn, M.L.: Optimal design and manufacture of active rod structures with spatially variable materials. 3D Print. Addit. Manuf. 3(4), 204–215 (2016)CrossRefGoogle Scholar
  8. 8.
    Molitch-Hou, M.: BioMimics Takes Medical 3D Printing to New Level of Detail. Accessed 11 June 2019
  9. 9.
    Bader, C., Kolb, D., Weaver, D., Oxman, N.: Data-driven material modeling with functional advection for 3D printing of materially heterogeneous objects. 3D Printing and Additive Manufacturing 3(2), 71–79 (2016)CrossRefGoogle Scholar
  10. 10.
    Arangarasan, R., Gadh, G.: Geometric modeling and collaborative design in a multi-modal, multi-sensory, virtual environment. In: Proceedings of DETC 2000 ASME 2000 Design Engineering Technical Conferences and Computers and Information in Engineering Conference Baltimore, Maryland, 10–13 September (2000)Google Scholar
  11. 11.
    Patel, S.V., Tam, K.M.M., Pushparajan, S., Mignone, P.J.: 3D sampling textures for creative design and manufacturing. In: Proceedings of ACADIA 2017: Disciplines and Disruption. MIT, Cambridge (2017)Google Scholar
  12. 12.
    Ankur, A.: Multidisciplinary collaboration as a sustainable research model for device development. J. Vasc. Surg. 57(2), 576–582 (2013)CrossRefGoogle Scholar
  13. 13.
    Wikipedia Contributors. Podiatry. Accessed 11 June 2019
  14. 14.
    Dalaq, A.S., Abueidda, D.W., Al-Rub, R.K.: Mechanical properties of 3D printed interpenetrating phase composites with novel architectured 3D solid-sheet reinforcements. Compos. Part A: Appl. Sci. Manuf. 84, 266–280 (2016)CrossRefGoogle Scholar
  15. 15.
    Lumpe, O., Mueller, J., Shea, K.: Tensile properties of multi-material interfaces in 3D printed parts. Mater. Des. 162, 1–9 (2019)CrossRefGoogle Scholar
  16. 16.
    Doubrovski, E.L., Tsai, E.Y., Dikovsky, D., Geraedts, J.M.P., Herr, H., Oxman, N.: Voxel-based fabrication through material property mapping: a design method for bitmap printing. Computer-Aided Design, March 2015, vol. 60, pp. 3–13 (2015)Google Scholar
  17. 17.
    Gayler, T.: Towards edible interfaces: designing interactions with food. In: Proceedings of 19th ACM International Conference on Multimodal Interaction, Glasgow, UK, November 2017 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

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

Personalised recommendations