Effect of process parameters on fracture toughness of PP/EPDM/nanoclay nanocomposite fabricated by novel method of heat assisted Friction stir processing
Abstract:Thermoplastic elastomeric nanocomposites due to their excellent mechanical, thermal, and chemical properties have a wide application in airplane, shipbuilding, and automotive industries and medical apparatus. Friction stir processing (FSP) is a novel technique for the fabrication of composites, nanocomposites and microstructural modifications. In this paper, polypropylene/ethylene-propylene-diene monomer (PP/EPDM) nanocomposite with 5 wt% nanoclay are fabricated by FSP to determine the effect of process parame… Show more
“…There are some works that have investigated the effects of these parameters on the dispersion state of the fillers in the polymer matrix. [28,29] Sui et al [28] investigated the filler dispersion state of MWCNT-TPU composite in different processing conditions via melt mixing and solution mixing methods. They showed that the solution method leads to a better dispersion at relatively low content of the filler (<2.5 wt%).…”
Section: Introductionmentioning
confidence: 99%
“…There are some works that have investigated the effects of these parameters on the dispersion state of the fillers in the polymer matrix. [ 28,29 ]…”
Piezoresistive strain sensing of multiwalled carbon nanotube (CNT)reinforced polymer nanocomposites considering the effect of agglomeration is experimentally investigated. Thermoplastic polyurethane is used as composite matrix with melt mixing method for fabricating the nanocomposite. The electrical resistance of the nanocomposite specimens is measured by a designed electrical circuit in conductivity and piezoresistivity tests. The electrical resistance of the nanocomposite decreases by a nonlinear relation when CNT is added up to 1.5 wt% and has an inverse behavior after this weight fraction. Comparison between scanning electron microscope images
“…There are some works that have investigated the effects of these parameters on the dispersion state of the fillers in the polymer matrix. [28,29] Sui et al [28] investigated the filler dispersion state of MWCNT-TPU composite in different processing conditions via melt mixing and solution mixing methods. They showed that the solution method leads to a better dispersion at relatively low content of the filler (<2.5 wt%).…”
Section: Introductionmentioning
confidence: 99%
“…There are some works that have investigated the effects of these parameters on the dispersion state of the fillers in the polymer matrix. [ 28,29 ]…”
Piezoresistive strain sensing of multiwalled carbon nanotube (CNT)reinforced polymer nanocomposites considering the effect of agglomeration is experimentally investigated. Thermoplastic polyurethane is used as composite matrix with melt mixing method for fabricating the nanocomposite. The electrical resistance of the nanocomposite specimens is measured by a designed electrical circuit in conductivity and piezoresistivity tests. The electrical resistance of the nanocomposite decreases by a nonlinear relation when CNT is added up to 1.5 wt% and has an inverse behavior after this weight fraction. Comparison between scanning electron microscope images
“…The fracture toughness of tough polymer nanocomposite was studied with essential work of fracture method . Khodabandelou et al and Mostafapour et al conducted experiments on PP/EPDM blend with carbon nanotube and nanoclay particles, respectively. They concluded that main fracture mechanism in un‐vulcanized samples was the formation of dilatation and compatibilized blends increased the fracture toughness significantly.…”
“…They found that both CB and CNT increased mechanical properties of PP/EPDM, while dispersion was the main factor rather than weight fraction. Khodabandelou et al, [36] and Mostafapour et al, [23] used CNT and NC, respectively, to investigate fracture mechanisms of PP/EPDM/nanofiller nanocomposites. The main fracture mechanism in the unvulcanized samples proved to be formation of dilatation.…”
Section: Introductionmentioning
confidence: 99%
“…[14][15][16] Ethylene propylene diene monomer (EPDM) is one of the most effective tougheners for PP. [17][18][19][20][21][22][23] Toughness of PP/EPDM can be increased more by vulcanization process. [24,25] Despite unique properties provided by EPDM rubber phase, it reduces PP stiffness.…”
In the present study, the effect of dynamic vulcanization, mixing sequence, and cellulose nanocrystal (CNC) content on mechanical, rheological, and thermal properties of the polypropylene/ethylene propylene diene monomer (PP/EPDM/CNC) ternary blend-nanocomposites was investigated. Significant reduction in tensile and yield strengths occurred for the un-vulcanized PP/EPDM blend compared to PP. Vulcanization and adding CNC have compensated for the decrease in tensile and yield strengths of the un-vulcanized blend. The tensile and yield strengths of the vulcanized samples had almost a slight uptrend by adding CNC. Elongation at break for both nanocomposites types had slight changes compared to that of PP/EPDM-thermoplastic vulcanizates and all of them were approximately in the range of 600%-700%. Adding CNC before or after vulcanization had the same effect on the trend of Young's modulus and the higher the amount of CNC, the greater the increase in Young's modulus. Incorporating and increasing the amount of CNC improved the impact strength of all samples, especially when added after vulcanization. Rheological measurements showed that vulcanization of PP/EPDM resulted in frequency independence of storage modulus and a more sharp increment in Complex viscosity. Also, the more CNC content, the more dramatic changes occurred in complex viscosity, especially in DV-CNC nanocomposites. Differential scanning calorimeter analysis showed that all samples had higher crystallinity which was more significant for Dynamic vulcanization (DV)-CNC nanocomposites. Scanning electron microscope images also indicated that the addition of CNC increased fracture surface roughness for all samples ignoring their preparation sequence.
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