Zhen-Pei Wang, David William Rosen. A GENERALIZED BACKGROUND VECTOR METHOD FOR DESIGNING 3D NON-PERIODIC WOVEN ARCHITECTURES, TEXCOMP-15 CONFERENCE, 11-13 SEPTEMBER 2024, LEUVEN, BELGIUM
Abstract:
In the field of aerospace engineering, tailor-designed 3D non-periodic woven composite preforms [1] hold great promise for creating advanced composite structures such as Ceramic Matrix Composites with strategically aligned fiber tows. However, automating the design process for non-periodic 3D preforms presents a considerable hurdle, owing to the intricate combinatorial design challenges involved in organizing a vast array of topology ordering numbers.
This study proposes a generalized approach based on the Background Vector Method (BVM) [2] that significantly simplifies these combinatorial complexities through a game theory strategy. The generalized BVM enables tunable designs for 3D woven architectures with channels and tapering features by simply adjusting control parameters. This computationally efficient method is ideally suited for large-scale non-periodic 3D woven architectures. The effectiveness of the generalized BVM is demonstrated through case studies on woven sandwich structures and airfoil geometries (Fig. 1), tackling complex design problems crucial to the aerospace industry. By strategically aligning fiber tows, such non-periodic 3D woven preforms can possibly unlock potentials for realizing high-performance composite components for critical aerospace requirements.
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Funding Info:
This research / project is supported by the Agency for Science, Technology and Research (A*STAR) - Career Development Fund
Grant Reference no. : C210112026
This research / project is supported by the Agency for Science, Technology and Research (A*STAR) - Start-up Fund
Grant Reference no. :