Perpustakaan Digital ITB

Hybrid composite materials offer a strategic solution for designing lightweight structures with tailored properties, but their design complexity presents a significant challenge. The exploration of their vast design space through Finite Element Method (FEM) is limited by a data generation bottleneck, as the manual creation of numerous Representative Volume Element (RVE) models is prohibitively time-consuming. This research addresses this bottleneck by developing an automated data generation engine. The solution is a GUI-driven, Python-based plugin for Abaqus that automates the entire workflow of generating customizable, multi-fiber, unidirectional hybrid composite RVEs and calculating their longitudinal Young's Modulus. The accuracy of the engine was validated by comparing its output against data from scientific literature for single-fiber (carbon, glass, flax) and multi-fiber hybrid systems, with all results demonstrating a relative percentage difference of less than 5%. The plugin's capability was then demonstrated through the generation of trial datasets for various two- and three-fiber hybrid configurations, showcasing its effectiveness for conducting systematic parametric studies. The developed tool serves as a validated and efficient engine for enabling the high-throughput analysis required for the advanced, data-driven design of hybrid composite materials.