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Designing Mechanical Properties of 3D Printed Cookies through Computer Aided Engineering.
Piovesan, Agnese; Vancauwenberghe, Valérie; Aregawi, Wondwosen; Delele, Mulugeta A; Bongaers, Evi; de Schipper, Mathijs; van Bommel, Kjeld; Noort, Martijn; Verboven, Pieter; Nicolai, Bart.
Affiliation
  • Piovesan A; KU Leuven, Division BIOSYST-MeBioS, University of Leuven, 3000 Leuven, Belgium.
  • Vancauwenberghe V; KU Leuven, Division BIOSYST-MeBioS, University of Leuven, 3000 Leuven, Belgium.
  • Aregawi W; Bruker microCT, 2550 Kontich, Belgium.
  • Delele MA; KU Leuven, Division BIOSYST-MeBioS, University of Leuven, 3000 Leuven, Belgium.
  • Bongaers E; KU Leuven, Division BIOSYST-MeBioS, University of Leuven, 3000 Leuven, Belgium.
  • de Schipper M; Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar 6000, Ethiopia.
  • van Bommel K; Bruker microCT, 2550 Kontich, Belgium.
  • Noort M; Department Equipment for Additive Manufacturing, TNO, NL-5656 Eindhoven, The Netherlands.
  • Verboven P; Department Equipment for Additive Manufacturing, TNO, NL-5656 Eindhoven, The Netherlands.
  • Nicolai B; Wageningen Food & Biobased Research, Wageningen University and Research, 6708WG Wageningen, The Netherlands.
Foods ; 9(12)2020 Dec 04.
Article in En | MEDLINE | ID: mdl-33291707
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Foods Year: 2020 Document type: Article Affiliation country: Bélgica

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Foods Year: 2020 Document type: Article Affiliation country: Bélgica