Tuhostní a statická analýza a optimalizace tvaru vybraných 3d tištěných průřezů

Abstract

This dissertation focuses on the design and validation of a novel algorithm for generating internal gradient structures in objects produced by additive manufacturing. The algorithm is based on a system of independent struts distributed within a defined space, whose thickness is continuously controlled by input parameters. This approach enables the creation of functionally graded lattice structures (FGLS) that differ from conventional lattice-based methods relying on repeating unit cells. The aim of the research was to increase the efficiency of material usage in relation to the mechanical properties of the final component, with particular emphasis on optimizing the strength-to-weight ratio under bending loads. The study included experimental testing of the mechanical properties of selected 3D printing materials (PETG and PC Blend), the development of numerical models, and laboratory validation of samples generated by the proposed algorithm. The results showed that, although the presented approach has not yet demonstrated a clear improvement in mechanical performance compared to standard infill strategies, it revealed significant potential for further development due to its flexible parametrization of geometry and material distribution. The proposed methodology thus provides an original framework for research and practical applications of optimized structures, not only in construction, aerospace, and automotive industries but also in product design and medical applications.

Description

Delayed publication

Available after

Subject(s)

3D printing, Additive Manufacturing, Optimization Algorithm, Functionally Graded Lattice Structures (FGLS), Mechanical Properties, Fused Deposition Modeling (FDM)

Citation