Toughness of a brittle epoxy resin reinforced with micro cork particles: Effect of size, amount and surface treatment

Barbosa, A.Q.; Silva, Lucas F. M. da; Abenójar, J.; Figueiredo, Miguel; Öchsner, Andreas

doi:10.1016/j.compositesb.2016.10.072

Cited by 78 publications

(42 citation statements)

References 22 publications

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“…The cork particles were supplied by Amorim Cork Composites (Mozelos, Portugal), without treatment. The particles used in the current paper are from a source similar to that of the previous study [16], and subsequently has the same size distribution shown in Fig. (1).…”

Section: Materials and Propertiesmentioning

confidence: 99%

Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction

Akhavan‐Safar

Barbosa

Silva

et al. 2018

Frattura Ed Integrità Strutturale

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In this work, the effects of natural particles on the micro failure mechanisms and static strength of an epoxy are studied using scanning electron microscope (SEM) technique. To this end, bulk specimens and adhesively bonded single lap joints (SLJs) containing different amount of micro cork particles were fabricated and tested. To investigate the toughening mechanisms, the fracture surfaces of the specimens were analyzed using SEM and a magnifying glass. It was shown that the deviation of the crack path and formation of micro-cracks generate multi fracture surfaces which is one of the main sources of energy absorption and resulted in higher fracture energy of the enhanced adhesives. Corks also acts as a crack stopper, stabilizes the crack propagation and prevents unstable crack growth. However, the micro analysis showed that higher contents of cork lead to agglomeration of the particles which acts as a source of stress concentration, with a higher possibility of delamination between the matrix and the micro corks. Accordingly, there is an optimum amount of cork where the best adhesive fracture toughness is reached. The results showed that the optimum value of micro particles depends on the loading conditions.

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Section: Materials and Propertiesmentioning

confidence: 99%

Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction

Akhavan‐Safar

Barbosa

Silva

et al. 2018

Frattura Ed Integrità Strutturale

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“…These wide applications are due to creep resistance [7], excellent adhesion to many substrates [8], high temperature performance [9], high stiffness [10], and high mechanical and electrical properties [11]. However, almost all EPs are brittle [12][13][14]. Many tougheners such as carboxyl-terminated butadiene-acrylonitrile (CTBN) [15,16], core-shell rubber (CSR) particles [17,18], thermoplastic or thermoset polymers [19,20], and organicinorganic particles [21,22] have been incorporated to increase the toughness of EP resins.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Cure Kinetics and Physical-Mechanical Properties of PEG/Nanosilica/Epoxy Composites

Varzeghani

Amraei

Mousavi

2020

International Journal of Polymer Science

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This study investigated the effect of polyethylene glycol (PEG) and nanosilica (NS) on the physical-mechanical properties and cure kinetics of diglycidyl ether of bisphenol-A-based epoxy (DGEBA-based EP) resin. For this purpose, tensile and viscometry tests, dynamic mechanical thermal analysis (DMTA), and differential scanning calorimetry (DSC) were carried out under dynamic conditions. The results showed that adding NS and PEG enhances the maximum cure temperature as well as the heat of cure reaction (ΔH) in EP-NS, while it decreases in EP-PEG and EP-PEG-NS. The cure kinetic parameters of EP-PEG-NS were calculated by Kissinger, Ozawa, and KSA methods and compared with each other. The Ea calculated from the Kissinger method (96.82 kJ/mol) was found to be lower than that of the Ozawa method (98.69 kJ/mol). Also, according to the KAS method, the apparent Ea was approximately constant within the 10-90% conversion range. Tensile strength and modulus increased by adding NS, while tensile strength diminished slightly by adding PEG to EP-NS. The glass transition temperature (Tg) was calculated using DMTA which was increased and decreased by the addition of NS and PEG, respectively. The results of the viscometry test showed that the viscosity increased with the presence of both PEG and NS and it prevented the deposition of solid particles.

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“…A.Q. Barbosa et al used a Taguchi design of experiments to understand the influence of each parameter under study (amount, size and presence of surface treatment) and the interaction between them 11 . The finite element (FE) simulation, the Taguchi technique, and the analysis of variance (ANOVA) techniques were carried out by Thipprakmas to investigate the degree of importance of V-ring indenter parameters 12 .…”

Section: Introductionmentioning

confidence: 99%

“…The central composite rotatable design combined with a quadratic response surface model has been also used 22 . Finally, Taguchi design of experiments has been used combined mostly with linear or quadratic regression models 11 . The commonly used Multiple Regression Analyses are based on many different regression models [23][24][25][26][27][28] .…”

Section: Introductionmentioning

confidence: 99%

“…Many efforts have been made in order to achieve a highly accurate multiple regression model 25,[27][28][29] . However, the widely used regression models are quite trivial and their accuracy is in many cases quite low 11 . In order to investigate the optimum curing conditions for glass fabric/epoxy laminated composites, a multi-parameter design of experiments, using Taguchi method, has been conducted in this study, followed by statistical analysis and a genetic algorithm multi-objective optimization.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Curing Cycle Optimization for Glass Fabric/Epoxy Composites Using Poisson Regression and Genetic Algorithm

et al. 2018

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In this study, a multi-parameter design of experiments, using Taguchi method, has been conducted in order to investigate the optimum curing conditions for glass fabric/epoxy laminated composites, followed by a statistical analysis and genetic algorithm optimization. Heating rate a, temperature T 1 and duration h 1 were treated as independent variables in a L 25 Taguchi orthogonal array addressing five levels each. Tensile load and flexural strength were examined as pre-selected quality objectives. The results of the analysis of variance performed showed that the significant parameters for both tensile and flexural strength were temperature and duration, at a 95% confidence level. The estimation of the curing parameters for optimum tensile and flexural performance was achieved with an error considerably lower than 1%. The Poisson regression analysis was introduced to achieve a highly accurate regression model, with R 2 greater than 97% for both optimization criteria. Finally, these two regression models were converted into a two-fold function for maximizing both criteria, and used as fitness function for a multi-objective optimization genetic algorithm.

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Toughness of a brittle epoxy resin reinforced with micro cork particles: Effect of size, amount and surface treatment

Cited by 78 publications

References 22 publications

Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction

Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction

Dynamic Cure Kinetics and Physical-Mechanical Properties of PEG/Nanosilica/Epoxy Composites

Multi-Objective Curing Cycle Optimization for Glass Fabric/Epoxy Composites Using Poisson Regression and Genetic Algorithm

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