Project

Multiscale predictive design approach for sustainable personalized 3D food printing

Code
bof/baf/4y/2024/01/932
Duration
01 January 2024 → 31 December 2025
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Engineering and technology
    • Rheology
    • Computational materials science
  • Agricultural and food sciences
    • Food physics
    • Food technology
Keywords
Time-dependent emulsion rheology Computational multiscale modeling Food structure-function relationships
 
Project description

Controlling food texture has prominent implications ranging from food sustainability to its acceptability by individual consumers, passing through nutritional and health-related aspects. Food can be considered as a composite material whose texture is ruled by its microstructure, and therefore can be treated as a particle reinforced matrix generating the texture perceived by the consumer. Sustainability and food personalization motivate this interdisciplinary project that combines food engineering, complex fluid rheology and computational mechanics of composites. A plant-based imitation cheese as food composite is proposed. The rheologymicrostructure relationship will be modeled and linked to final texture via 3D printing. Inspired by advanced composites from aerospace, a state-of-the-art computational multiscale framework will be developed, leading to tunable and environmentally friendly alternative products to reduce issues like livestock raising, deforestation and global warming.