Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14416
Title: Multi-scale analysis of the adhesive bonding behavior of laser surface-treated carbon fiber reinforced polymer composite structures
Authors: Nuhoglu,K.
Aktas,E.
Tanoglu,M.
Barisik,M.
Esenoglu,G.
Martin,S.
Iris,M.E.
Keywords: [No Keyword Available]
Publisher: Elsevier Ltd
Abstract: Laser surface treatment has considerable potential to provide high-quality adhesive-joining of carbon-fiber-reinforced polymer (CFRP) composites by removing contaminants and the top polymer layer and increasing the surface roughness without damaging the fibers. Yet, predicting the failure strength and mechanism of the laser surface-treated adhesively bonded joints under static and cyclic loads is important to designing reliable structures. In this study, a multi-scale Finite Element Analysis (FEA) of the adhesively bonded CFRP composite structures was developed to accurately predict the failure load and damage growth. Numerical simulations of the single lap joint (SLJ) specimen was executed, employing the cohesive zone modeling (CZM) technique between adjacent surfaces to simulate the bonding behavior of the secondary bonded CFRP parts. Using the homogenization procedure, the micro-scale simulation of the contact region of the laser-treated adherent surface and adhesive was performed to extract traction separation law (TSL) parameters. The mechanical interlocking contribution of the laser surface treatment was imported to the macro-scale FEA, analyzing the representative volume element (RVE) of the bonding interface region. We presented that the multi-scale analysis estimated the experimentally measured mechanical behaviour, strength values, and failure modes successfully with a negligible error (7 %). © 2024 Elsevier Ltd
URI: https://doi.org/10.1016/j.ijadhadh.2024.103643
https://hdl.handle.net/11147/14416
ISSN: 0143-7496
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

1
checked on Jun 14, 2024

Page view(s)

26
checked on Jun 17, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.