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m{AI}celium - A Data-Driven Approach to Designing 3D-Printed Mycelium Based Composites
This research investigates the correlation between design practices, mycelium growth, and material properties in 3D-printed mycelium-based composites (MBCs). The primary objective of the investigation is to facilitate more comprehensive design practices that fully exploit the potential of mycelium as a building material. To this end, the study employs data-driven techniques to explore the relationship between geometry, mycelium growth, and material properties. The research reveals the current discrepancy between the material's physical properties and digital design practices, resulting in underutilized designs. The study seeks to bridge this gap by developing a methodology that informs a given geometry's potential growability and material properties of a given geometry. The ultimate goal is to promote sustainable and material-informed design practices in architecture and design with living materials.
ITECH M.Sc. Thesis Project 2023: m{AI}celium - A Data-Driven Approach to Designing 3D-Printed Mycelium Based Composites
Hussamaldeen Gomaa, Yara Karazi, Wai Man Chau
Thesis Advisers: Zuardin Akbar, Eliza Biala
Thesis Supervisor: Prof. Thomas Wortmann
Second Supervisor: Prof. Martin Ostermann