Enhancing tensile strength, adhesive joining of CFPEEK and microstructure properties of Epoxy by Nd2O3 rare-earth nanoparticles reinforcement

Mohammed Asmael*, Zummurd Al Mahmoud, Saeid Sahmani, Babak Safaei*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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Abstract

This study is conducted to enhance the tensile and adhesive shear performance of pure epoxy (Ep) by the addition of Neodymium oxide (Nd2O3) nanoparticles (NPs). The polymer nanocomposite (PNC) was prepared with the addition of various weight percentage (wt%) of Nd2O3. The effect of various content of Nd2O3 NPs on mechanical features such as stress-strain, ultimate tensile strength (UTS), Young’s modulus, elongation and toughness were explored by conducting the tensile stress analysis. Besides, the joining strength of the adhesive was explored by performing the lap shear strength (LSS), through implementing the developed PNC as an adhesive layer to join Polyetheretherketone (CFPEEK). As a result of a good dispersal of the NPs in the polymer matrix and interaction between the Nd2O3 and Ep, it was revealed that a remarkable enhancement in the mechanical behavior was obtained by the addition of 5 wt% for tensile properties where the improvement in UTS reached 454.2 %. Although, the maximum enhancement in lap shear properties obtained by the addition of 3 wt% for where the improvement reached 153.3 % compared to pure Ep. An absence of further increase in mechanical properties was noticed in case of further increase above 5 wt%, due to NPs agglomeration. Additionally, to predict the tensile stress and shear force of the PNC with the addition of various wt% of Nd2O3, various machine learning (ML) models were accomplished specifically one-way ANOVA, regression and the artificial neural network (ANN). The most significant model performance was accomplished by one-way ANOVA where the RMSE for tensile and shear force are 0.4758 and 0.1264 respectively with prediction error 2.866 % and 7.434 %.
Original languageEnglish
Article number110854
JournalMaterials Today Communications
Volume41
Early online date02 Nov 2024
DOIs
Publication statusPublished - Dec 2024

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