Stress relaxation behavior of starch powder‐epoxy resin composites

Papanicolaou, George; Kontaxis, Lykourgos C.; Koutsomitopoulou, Anastasia; Zaoutsos, Stefanos

doi:10.1002/app.41697

Cited by 14 publications

(15 citation statements)

References 26 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Property prediction model (PPM) is a semiempirical model developed by the first author and is used to predict the property variation with filler–volume fraction. It is the improved version of the modulus prediction model (MPM), already presented in previous works , after it was found by others that it can predict more material properties in addition to the elastic modulus . The PPM model is described by the following equation:

P_{c} = (λ - κ) P_{f} V_{f}^{2} + κ (P_{f} - P_{m}) V_{f} + P_{m}

where P c is the current property value of the composite, P f and P m is the filler and matrix property value respectively, λ is the dispersion parameter and κ the adhesion parameter .…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The PPM model is described by the following equation:

P_{c} = (λ - κ) P_{f} V_{f}^{2} + κ (P_{f} - P_{m}) V_{f} + P_{m}

where P c is the current property value of the composite, P f and P m is the filler and matrix property value respectively, λ is the dispersion parameter and κ the adhesion parameter . Finally, the filler volume fraction is denoted by V f. As it is explained in details , the model application is taking into account the fact that at low filler concentrations the composite behavior is mainly manifested by the filler–matrix adhesion and in a lesser extent by the filler dispersion, while at high filler volume fractions dispersion of the filler into the matrix is the most important parameter dictating the overall behaviour. Knowing only two experimental points, specifically one at a very low filler concentration and a second one at a high filler concentration, one can determine the parameters κ and λ .…”

Section: Theoretical Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

A comparative study between epoxy/Titania micro‐ and nanoparticulate composites thermal and mechanical behavior by means of particle–matrix interphase considerations

Papanicolaou

Kostopoulos

Kontaxis

et al. 2017

Polymer Engineering & Sci

Self Cite

View full text Add to dashboard Cite

The aim of the present study is to examine and compare the thermal and mechanical properties of epoxy resin/TiO2 particle microcomposites (0.2 μm) and nanocomposites (21 nm). Composite materials consisting of epoxy resin reinforced with different amounts of TiO2 microparticles (1, 5, 10, 15, and 20% wt) and TiO2 nanoparticles (0.5%, 1%, 3%wt) were prepared. The thermal and mechanical properties of the manufactured composites were investigated and compared through differential scanning calorimetry (DSC) and three‐point bending tests (3PB). Lipatov's Theory was then applied on the DSC results, thus leading to the calculation of the particle‐matrix interphase thickness which was correlated to experimental findings. The glass transition temperature (Tg) of the materials was obtained and the effect of the grain size on the measured Tg values was investigated. The data obtained from DSC tests for both micro‐ and nanoinclusions when normalized with respect to the specific surface area of the particles, resulted in a single continuous curve describing the normalized phase transition enthalpy variation with filler weight fraction. POLYM. ENG. SCI., 58:1146–1154, 2018. © 2017 Society of Plastics Engineers

show abstract

P_{c} = (λ - κ) P_{f} V_{f}^{2} + κ (P_{f} - P_{m}) V_{f} + P_{m}

where P c is the current property value of the composite, P f and P m is the filler and matrix property value respectively, λ is the dispersion parameter and κ the adhesion parameter .…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The PPM model is described by the following equation:

P_{c} = (λ - κ) P_{f} V_{f}^{2} + κ (P_{f} - P_{m}) V_{f} + P_{m}

Section: Theoretical Backgroundmentioning

confidence: 99%

A comparative study between epoxy/Titania micro‐ and nanoparticulate composites thermal and mechanical behavior by means of particle–matrix interphase considerations

Papanicolaou

Kostopoulos

Kontaxis

et al. 2017

Polymer Engineering & Sci

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Property Prediction Model (PPM) has been developed, by the first author, aiming to predict the composite property-value variation as a function of the filler concentration (C f ) in particulate composites. The present model is the improved version of the Modulus Prediction Model (MPM) already presented in [27,28] after it was found that it can predict a series of different material properties in addition to the elastic modulus [29]. For the model application, only two experimental points are needed.…”

Section: Property Prediction Model (Ppm)mentioning

confidence: 99%

Experimental and Prediction Study of Displacement-Rate Effects on Flexural Behaviour in Nano and Micro TiO2 Particles-Epoxy Resin Composites

2019

View full text Add to dashboard Cite

Epoxy resin composites with different weight fractions of TiO 2 microparticles (1%, 5%, 10%, 15%, 20%) and of TiO 2 nanoparticles (0.5%, 1%, 2%, 3%) were prepared. The particle size of the nanoparticles was averaged around 21 nm while the particle size of the micro TiO 2 particles was averaged around 0.2 µm. The morphology of the manufactured particulate composites was studied by means of scanning electron microscopy (SEM). The mechanical properties of both nanocomposites (21 nm) and microcomposites (0.2 µm) were investigated and compared through flexural testing. Furthermore, the effect of displacement-rate on the viscoelastic behavior of composite materials was investigated. The flexural tests were carried out at different filler weight fractions and different displacement-rates (0.5, 5, 10, 50 mm/min). The influence of TiO 2 micro-and nanoparticles on the mechanical response of the manufactured composites was studied. For micro TiO 2 composites, a maximum increase in flexural modulus on the order of 23% was achieved, while, in the nanocomposites, plastification of the epoxy matrix due to the presence of TiO 2 nanoparticles was observed. Both behaviors were predicted by the Property Prediction Model (PPM), and a fair agreement between experimental results and theoretical predictions was observed.Polymers 2020, 12, 22 2 of 13 in improving the mechanical properties of the composite. The lower the filler diameter, the higher the filler surface/contact area is. Thus, in case of micron sized particles, the size of the low-density interfacial region of the pure polymer surrounding the inclusion is higher, so that the contribution of the filler is reduced, concluding that the mechanical properties of the composite will not be improved that much [6]. On the contrary, the nanoparticles can fill up the weak regions within the epoxy resin, and thus increasing the filler-matrix interaction force. The increase of the extent interfacial region can significantly improve the mechanical properties of the epoxy/nanocomposite. However, the nanoparticles have a difficulty to disperse into the matrix, so it is crucial to find the proper manufacturing technique to improve particle dispersion within the matrix material. A technique that is commonly applied is the ultrasonic homogenization; however, as every technique has its disadvantages. More precisely, this technique decreases the gelling time of the epoxy resin [7][8][9][10][11].The mechanical response of particulate reinforced composites also depends on the rate of deformation. It was found that particulates increase the strain rate sensitivity concerning tensile modulus, but this sensitivity decreases when measuring yield strength [12]. The effect of strain rate on the flexural properties of some polymer matrix composites has been studied and, as it was found, the flexural modulus and flexural strength both increase linearly with the logarithm of the strain rate [13]. Furthermore, the strain-rate sensitivity seems to be slightly more pronounced in shear than in tension and comp...

show abstract

“…[21][22][23] In the present work, the RPM has been applied in order to predict the residual compressive strength of five different materials systems as a function of the additives concentration. In all cases and independently of the material system under consideration, function M was found as: M ¼ C 2 , where C is the percentage concentration of the phase added.…”

Section: The Rpm Model Presentation and Applicationmentioning

confidence: 99%

“…The RPM model has already been successfully applied to all the above-mentioned cases as well as to many others such as materials property degradation after thermal shock cycling, and strength reduction due to materials discontinuities (central hole, edge cracking, etc.). 21–23…”

Section: Residual Property Modeling and Porosity Estimationsmentioning

confidence: 99%

Influence of artificially-induced porosity on the compressive strength of calcium phosphate bone cements

et al. 2016

View full text Add to dashboard Cite

The biological and mechanical nature of calcium phosphate cements (CPC's) matches well with that of bone tissues, thus they can be considered as an appropriate environment for bone repair as bone defect fillers. The current study focuses on the experimental characterization of the mechanical properties of CPCs that are favorably used in clinical applications. Aiming on evaluation of their mechanical performance, tests in compression loading were conducted in order to determine the mechanical properties of the material under study. In this context, experimental results occurring from the above mechanical tests on porous specimens that were fabricated from three different porous additives, namely albumin, gelatin and sodium alginate, are provided, while assessment of their mechanical properties in respect to the used porous media is performed. Additionally, samples reinforced with hydroxyapatite crystals were also tested in compression and the results are compared with those of the above tested porous CPCs. The knowledge obtained allows the improvement of their biomechanical properties by controlling their structure in a micro level, and finds a way to compromise between mechanical and biological response.

show abstract

Stress relaxation behavior of starch powder‐epoxy resin composites

Cited by 14 publications

References 26 publications

A comparative study between epoxy/Titania micro‐ and nanoparticulate composites thermal and mechanical behavior by means of particle–matrix interphase considerations

A comparative study between epoxy/Titania micro‐ and nanoparticulate composites thermal and mechanical behavior by means of particle–matrix interphase considerations

Experimental and Prediction Study of Displacement-Rate Effects on Flexural Behaviour in Nano and Micro TiO2 Particles-Epoxy Resin Composites

Influence of artificially-induced porosity on the compressive strength of calcium phosphate bone cements

Contact Info

Product

Resources

About