Designing mechanical properties of 3d printed cookies through computer aided engineering

Agnese Piovesan, Valérie Vancauwenberghe, Wondwosen Aregawi, Mulugeta A. Delele, Evi Bongaers, Mathijs de Schipper, Kjeld van Bommel, Martijn Noort, Pieter Verboven, Bart Nicolai

Research output: Contribution to journalArticlepeer-review

Abstract

Additive manufacturing or 3D printing can be applied in the food sector to create food products with personalized properties such as shape, texture, and composition. In this article, we introduce a computer aided engineering (CAE) methodology to design 3D printed food products with tunable mechanical properties. The focus was on the Young modulus as a proxy of texture. Finite element modelling was used to establish the relationship between the Young modulus of 3D printed cookies with a honeycomb structure and their structure parameters. Wall thickness, cell size, and overall porosity were found to influence the Young modulus of the cookies and were, therefore, identified as tunable design parameters. Next, in experimental tests, it was observed that geometry deformations arose during and after 3D printing, affecting cookie structure and texture. The 3D printed cookie porosity was found to be lower than the designed one, strongly influencing the Young modulus. After identifying the changes in porosity through X-ray micro-computed tomography, a good match was observed between computational and experimental Young’s modulus values. These results showed that changes in the geometry have to be quantified and considered to obtain a reliable prediction of the Young modulus of the 3D printed cookies.

Original languageEnglish (US)
Article number1804
JournalFoods
Volume9
Issue number12
DOIs
StatePublished - Dec 2020
Externally publishedYes

Bibliographical note

Funding Information:
The authors acknowledge the funding of the European FP7-ERA-Net SUSFOOD programme (CIBUS-Food project). The Flanders Agency for Innovation and Entrepreneurship, and the Research Foundation Flanders?FWO Vlaanderen (A. P. SB Scholarship No. 1S44318N) are additionally acknowledged for financial support.

Funding Information:
Funding: The authors acknowledge the funding of the European FP7-ERA-Net SUSFOOD programme (CIBUS-Food project). The Flanders Agency for Innovation and Entrepreneurship, and the Research Foundation Flanders—FWO Vlaanderen (A. P. SB Scholarship No. 1S44318N) are additionally acknowledged for financial support.

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • 3D food printing
  • Additive manufacturing
  • Computed aided engineering
  • Finite element modelling
  • Structure
  • Texture
  • X-ray computed tomography

PubMed: MeSH publication types

  • Journal Article

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