Predicting of mechanical properties of PP/LLDPE/TiO2 nano-composites by response surface methodology

Daneshpayeh, Sajjad; Ghasemi, Faramarz Ashenai; Ghasemi, Ismaeil; Ayaz, Mohsen

doi:10.1016/j.compositesb.2015.08.075

Cited by 70 publications

(31 citation statements)

References 28 publications

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“…The result of ANOVA analysis of specific wear rate is given in table 3. The parameter is significant when the probability value (P-value) is less than 0.05 [26]. For the hybrid composite, it is found that R 2 is 99.43%, which indicates that the predicted model is valid and agrees with the experimental data.…”

Section: Analysis Of Variance (Anova)supporting

confidence: 55%

Influence of glass/carbon fiber stacking sequence on mechanical and three-body abrasive wear resistance of hybrid composites

Jesthi¹,

Nayak²

2020

Mater. Res. Express

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Glass and carbon fiber reinforced polymer hybrid composites are the need of the hour to overcome the weakness of individual fibers. The mechanical and abrasive wear property of the hybrid composites needs to be evaluated to ascertain the feasibility in structural and tribological applications. In this article, hybrid composites of different stacking sequence such as [G 3 C 2 ] S, [GCG 2 C] S and[G 2 C 2 G] S has been designed. The flexural strength and three body abrasive wear resistance of the hybrid composites were evaluated and compared among themselves. It is observed that the flexural strength and modulus of [GCG 2 C] S type hybrid composite was improved by 46.1% and 49.5% respectively as compared to plain glass fiber reinforced polymer composites. The specific wear rate was evaluated by three-body abrasive wear at different operating parameters and optimized the same through response surface methodology. Box-Behnken design of the experiment was adopted to design the experiments. The model has predicted the minimum specific wear rate for [GCG 2 C] S hybrid composite is18.8476×10 -3 mm 3 Nm −1 at applied load of 33.15 N and sliding distance of 1100 m. The model predicted results were compared with experimental one and found a good agreement between them. The worn surface of the composites was analyzed by scanning electron microscope to understand the wear mechanism.

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Section: Analysis Of Variance (Anova)supporting

confidence: 55%

Influence of glass/carbon fiber stacking sequence on mechanical and three-body abrasive wear resistance of hybrid composites

Jesthi¹,

Nayak²

2020

Mater. Res. Express

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“…To optimize processes, many researchers have used statistical methods, such as RSM. [32][33][34] RSM is used to design, analyze, and optimize responses and also, to reduce experiment, financial input, and time. 35 Further, it can evaluate the effect of each variable specifically and simultaneously on responses.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Investigation on tensile properties of epoxy/graphene nano-platelets/carboxylated nitrile butadiene rubber ternary nanocomposites using response surface methodology

Saberian

Ghasemi

et al. 2019

Nanomaterials and Nanotechnology

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In this study, the response surface methodology was used to investigate the tensile properties of epoxy/graphene nanoplatelets/carboxylated nitrile butadiene rubber ternary nanocomposites. Box-Benhken method was used to design experiments for four factors consisting of graphene nano-platelets (at 0, 0.75, and 1.5 wt%), carboxylated nitrile butadiene rubber (0, 5, and 10 wt%), hardener contents (80, 90, and 100 phr), and also different post curing temperature (130, 140, and 150 C). After the samples were prepared, a tensile test was performed to obtain the tensile strength, tensile modulus, and elongation at break of nanocomposites. Moreover, field-emission scanning electron microscopy was used to observe the state of graphene nano-platelets dispersion. The results obtained from the tensile tests showed that increasing the graphene nano-platelets, carboxylated nitrile butadiene rubber, and hardener contents and high post curing temperature reduced the tensile strength. The optimum value of tensile modulus was achieved at low concentration of carboxylated nitrile butadiene rubber and high contents of graphene nano-platelets, whereas maximum elongation at break occurred at high content of carboxylated nitrile butadiene rubber and low concentration of graphene nano-platelets and hardener. In addition, a second-order polynomial model was used to correlate the tensile properties of ternary nanocomposites to the desired factors. Finally, contour plots were used to determine optimum values of the desired factors. It was seen that the presence of 10 wt% of carboxylated nitrile butadiene rubber in the epoxy matrix increased the elongation at break by the considerable amount of *49%.

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“…In order to study complex nanocomposites with different parameters, there are different methods of designing the experiments, most of which include fixing some material parameters and investigating the effect of other parameters on responses. Nevertheless, there have been studies attempting to detect the effect of different levels of input variables on different responses and establish a balance between responses, improve them, and simultaneously optimize them …”

Section: Introductionmentioning

confidence: 99%

An approach to the optimization of mechanical properties of polypropylene/nitrile butadiene rubber/halloysite nanotube/polypropylene‐g‐maleic anhydride nanocomposites using response surface methodology

et al. 2020

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In this article, response surface methodology (RSM) has been applied to simultaneously optimize the tensile and impact strength of polypropylene (PP)/nitrile butadiene rubber (NBR)/halloysite nanotubes (HNTs)/maleic anhydride (MA)‐grafted‐PP nanocomposites. Three levels of material parameters, including NBR (10, 20, and 30 wt%), HNTs (1, 3, and 5 wt%), and PP‐g‐MA (3, 9, and 15 wt%) as compatibilizers were used to design the experiments according to Box‐Behnken design. In order to investigate the morphology of nanocomposite samples, a scanning electron microscope was used. The model predicted that both the tensile strength and impact strength of nanocomposite were peaked between middle and high levels of HNTs content. There was also a peak for NBR loading in the main effect plot of impact strength. Two‐way interactions of all parameters were significantly affecting both responses. Based on RSM models using the desirability function, the optimum values of input parameters leading to optimized tensile strength and impact strength were predicted to be 17.87, 4.35, and 15 wt% for NBR, HNT, and PP‐g‐MA, respectively. Confirmation experiments were in good agreement with the predicted values.

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Predicting of mechanical properties of PP/LLDPE/TiO2 nano-composites by response surface methodology

Cited by 70 publications

References 28 publications

Influence of glass/carbon fiber stacking sequence on mechanical and three-body abrasive wear resistance of hybrid composites

Influence of glass/carbon fiber stacking sequence on mechanical and three-body abrasive wear resistance of hybrid composites

Investigation on tensile properties of epoxy/graphene nano-platelets/carboxylated nitrile butadiene rubber ternary nanocomposites using response surface methodology

An approach to the optimization of mechanical properties of polypropylene/nitrile butadiene rubber/halloysite nanotube/polypropylene‐g‐maleic anhydride nanocomposites using response surface methodology

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