Literature DB >> 33291707

Designing Mechanical Properties of 3D Printed Cookies through Computer Aided Engineering.

Agnese Piovesan1, Valérie Vancauwenberghe1,2, Wondwosen Aregawi1, Mulugeta A Delele1,3, Evi Bongaers2, Mathijs de Schipper4, Kjeld van Bommel4, Martijn Noort5, Pieter Verboven1, Bart Nicolai1.   

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.

Entities:  

Keywords:  3D food printing; X-ray computed tomography; additive manufacturing; computed aided engineering; finite element modelling; structure; texture

Year:  2020        PMID: 33291707      PMCID: PMC7761976          DOI: 10.3390/foods9121804

Source DB:  PubMed          Journal:  Foods        ISSN: 2304-8158


  6 in total

1.  A three-dimensional finite element model from computed tomography data: a semi-automated method.

Authors:  P M Cattaneo; M Dalstra; L H Frich
Journal:  Proc Inst Mech Eng H       Date:  2001       Impact factor: 1.617

2.  Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object.

Authors:  D Paganin; S C Mayo; T E Gureyev; P R Miller; S W Wilkins
Journal:  J Microsc       Date:  2002-04       Impact factor: 1.758

Review 3.  Recent development in 3D food printing.

Authors:  Fan Yang; Min Zhang; Bhesh Bhandari
Journal:  Crit Rev Food Sci Nutr       Date:  2017-09-22       Impact factor: 11.176

Review 4.  Visualizing 3D Food Microstructure Using Tomographic Methods: Advantages and Disadvantages.

Authors:  Zi Wang; Els Herremans; Siem Janssen; Dennis Cantre; Pieter Verboven; Bart Nicolaï
Journal:  Annu Rev Food Sci Technol       Date:  2018-01-18

5.  A three-dimensional multiscale model for gas exchange in fruit.

Authors:  Quang Tri Ho; Pieter Verboven; Bert E Verlinden; Els Herremans; Martine Wevers; Jan Carmeliet; Bart M Nicolaï
Journal:  Plant Physiol       Date:  2011-01-11       Impact factor: 8.340

6.  3D Printing Variable Stiffness Foams Using Viscous Thread Instability.

Authors:  Jeffrey I Lipton; Hod Lipson
Journal:  Sci Rep       Date:  2016-08-09       Impact factor: 4.379

  6 in total
  1 in total

1.  Edible mechanical metamaterials with designed fracture for mouthfeel control.

Authors:  André Souto; Jian Zhang; Alejandro M Aragón; Krassimir P Velikov; Corentin Coulais
Journal:  Soft Matter       Date:  2022-04-13       Impact factor: 3.679

  1 in total

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