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DIGITAL LIBRARY: SAMPE 2022 | CHARLOTTE, NC | MAY 23-26

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Minimizing through Thickness Defect Stack-Up for Automated Fiber Placement of Composite Laminates via Fiber Path Optimization

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Title: Minimizing through Thickness Defect Stack-Up for Automated Fiber Placement of Composite Laminates via Fiber Path Optimization

Authors: Joshua Halbritter, Noah Swingle, Roudy Wehbe, Ramy Harik

DOI: 10.33599/nasampe/s.22.0689

Abstract: UofSC’s neXt Composite research team developed the Computer Aided Process Planning (CAPP) software to support process planning for automated fiber placement (AFP) manufacturing. CAPP assists process planners in identifying optimal starting point location and layup strategy for each ply of the laminate. The ply optimization functions on the measurement and scoring of geometry-based defects such as gaps, overlaps, angle deviation, and steering. This paper presents laminate level process planning optimization that focuses on mitigating defect stacking through the thickness of the laminate. This is achieved by generating laminate scenarios from the best ply scenarios and comparing the defects of each ply through the thickness to identify regions where defects are stacking on top of each other. The frequency and severity of stacked defects are then described using a novel scoring system, allowing process planners to craft fiber paths that mitigate the number of geometry-based defects and the compounding effect they have throughout a laminate. The paper also presents a case study of the laminate optimization technique performed with a doubly curved tool surface to demonstrate the novel scoring system and the resulting minimization of through thickness defect interactions.

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Conference: SAMPE 2022

Publication Date: 2022/05/23

SKU: TP22-0000000689

Pages: 14

Price: $28.00

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