Speaker
Description
Additive manufacturing enables significant weight reduction through controlled variation of infill density, yet reliable material data across densities is essential for accurate simulation. In this study, components are fabricated using standard PLA and consumer-grade printers with gyroid infill structures at varying densities. Experimental compression testing is performed to determine key mechanical properties, including Young’s modulus, stress at 20% strain, and stored energy. These results are used to develop correlation-based fits that relate infill density to material response, providing a practical parameterization for simulation-driven design and optimization of lightweight parts. The derived material model facilitates more accurate prediction of structural behaviour in additively manufactured components. Furthermore, results are critically compared with existing theoretical frameworks and published data to interpret the observed mechanical response, including elastic deformation, plastic yielding, buckling phenomena, and densification under compressive loading. This work contributes to improved understanding and modelling of infill-dependent material behaviour, supporting more efficient and reliable design workflows in additive manufacturing applications.
| Topic Area | Design Optimization, Additive Manufacturing Technologies & Applications |
|---|