Quy Tung Linh Vu

Mr. Quy Tung Linh Vu

Mechanical and Aerospace Engineering, The University of Texas at Arlington, Arlington, Massachusetts, USA
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Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 June 2023 in Polymers
Verified
Journal Article
Open access
PDF file
QVQuy Tung Linh Vu
Quy Tung Linh Vu
GSGUILLAUME SEON
GUILLAUME SEON
SGSarvi Ghaffari
Sarvi Ghaffari
AMAndrew Makeev
Andrew Makeev
FLFrédéric Lachaud
Frédéric Lachaud
YGYves GOURINAT
Yves GOURINAT
Microscale residual stress may develop during the manufacturing of Carbon Fiber-Reinforced Polymer (CFRP) composites and negatively affect apparent macroscale mechanical properties. Accordingly, accurately capturing residual stress may be essential in computational methods used for composite material design. This work presents a new data-driven methodology for the evaluation of microscale residual stress in CFRPs using fiber push-out experiments with in situ scanning electron microscopy (SEM) imaging. SEM images reveal significant through-thickness matrix sink-in deformation in resin-rich areas after nearby fibers are pushed out, which is attributed to the release of microscale process-induced residual stress. The sink-in deformation is measured experimentally, and a Finite Element Model Updating (FEMU) method is used to retrieve the associated residual stress. The finite element (FE) analysis includes simulation of the curing process, test sample machining, and fiber push-out experiment. Significant out-of-plane matrix deformation larger than 1% of the specimen thickness is reported and associated with a high level of residual stress in resin-rich areas. This work emphasizes the importance of in situ data-driven characterization for integrated computational materials engineering (ICME) and material design.