Title: ANALYSIS OF ADDITIVE MANUFACTURED STRUCTURAL JOINTS USING DISCRETE MODEL FOR COMPOSITES (DM4C)

Authors: Antonio Alessandro Deleo, Sean E. Phenisee, Daniele Pelessone, Jevan Furmanski, Mark Flores, Marco Salviato

DOI: 10.33599/nasampe/s.23.0127

Abstract: This study focuses on the computational analysis of complex structural joints made of Carbon Fiber Reinforced Plastics (CFRP) manufactured via novel Additive Manufacturing (AM) techniques. The new discrete modeling framework DM4C (Discrete Model for Composites) is used, where fiber tows are modeled as Timoshenko beams and the resin as an ensemble of discrete facets anchored to a tetrahedral mesh. Firstly, the model parameters are calibrated to the macroscopic parameters of the chosen material system using a massively parallelized calibration technique coupled with Machine Learning and Artificial Intelligence (ML/AI) algorithms. Secondly, an advanced generalized generation algorithm is used to generate the complex joints which are then simulated. Finally, different joints are compared with each other. Preliminary results showed that truncating fibers always leads to lower structural strengths, highlighting the importance of optimizing fiber paths during manufacturing to reduce such fiber interruptions.

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Conference: SAMPE 2023

Publication Date: 2023/04/17

SKU: TP23-0000000127

Pages: 15

Price: $30.00