Topology Optimization for Process-Induced Anisotropy in Glass Structures

Abstract

Glass, a material with a rich history spanning over 4,500 years, has evolved from a decorative element in ancient Mesopotamia to a pivotal component in modern architecture and engineering. From stained glass windows that illuminated cathedrals to its contemporary role as a structural material, glass continues to showcase its versatility and strength. Recent advancements in manufacturing and computational design have further expanded its potential, allowing for intricate and efficient applications in structural contexts. This thesis builds upon the work of Koniari, Schoenmaker, and Brueren, who explored the intersection of topology optimization and glass fabrication. While Koniari focused on 2D topology optimization for cast glass and Schoenmaker extended this to 3D implementations, Brueren integrated topology optimization with additive manufacturing (AM). The current research aims to advance this field by tackling process-induced anisotropy, a critical issue in layer-by-layer fabrication methods like AM. By integrating anisotropic considerations into topology optimization algorithms, this work seeks to enhance the manufacturability and structural integrity of 3D-printed glass components that are generated using topology optimization methods. The research is structured into two phases: a literature review and a practical phase. The review examines the properties of glass, additive manufacturing techniques, and topology optimization algorithms, while the practical phase involves refining algorithms to address anisotropy. This study aims to bridge the gap between computational design and fabrication processes, offering a comprehensive framework for producing optimized glass structures through additive manufacturing. By addressing the challenges of anisotropy and integrating these considerations into topology optimization, the thesis seeks to redefine the possibilities of glass as a modern structural material.