Influence of imbibed moisture and organoclay on tensile and indentation behavior of polyamide 66/hectorite nanocomposites

Timmaraju, Mallina Venkata; Gnanamoorthy, R.; Kannan, K.

doi:10.1016/j.compositesb.2010.12.012

Cited by 28 publications

(16 citation statements)

References 19 publications

(30 reference statements)

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“…An Ultra Nanoindentation Tester, with a Berkovich indenter (Anton Paar GmbH, Graz, Austria), was used for the hardness test [17,18]. Nanoindentation tests were performed with a depth of 5 µm at a rate of 10 mN/min.…”

Section: Mechanical Propertiesmentioning

confidence: 99%

The Influence of Kaolin Clay on the Mechanical Properties and Structure of Thermoplastic Starch Films

et al. 2020

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The aim of study was to investigate the influence of kaolin on the physical properties and utility of film produced from native starch. The work involved measurements of strength, structure, and thermal properties. The films were prepared by the casting method. Composite films with 0%, 5%, 10%, and 15% kaolin additives were examined. Measurements of mechanical properties were carried out using the uniaxial tensile test, the nanoindentation test, and nanoscratching. Surface properties were examined by atomic force microscopy and contact angle measurements. Structure was determined by the X-ray diffraction method, and thermal properties were determined by differential scanning calorimetry. A significant influence of kaolin on the strength parameters and thermal and barrier properties of composite films was found. An increase in kaolin content reduced the tensile strength, Young’s modulus, and Poisson’s ratio. Structural analysis showed a partial intercalation and the layered arrangement of kaolin particles. Kaolin additives increased the barrier properties of water vapor in composite films of about 9%. Biopolymer modification by nanoclay reduced the thermal stability of composite films by 7% and could accelerate the biodegradation process. Increasing the concentration of kaolin in the biopolymer matrix led to heightened surface roughness (approximately 64%) and wettability of the surfaces of the film composites of 58%.

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Section: Mechanical Propertiesmentioning

confidence: 99%

The Influence of Kaolin Clay on the Mechanical Properties and Structure of Thermoplastic Starch Films

et al. 2020

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“…Along with the fast development of the modern manufacturing industry, the manufacturers and customers have a high requirement on the performance of PA66 products; however, the unmodified PA66 cannot completely meet the demand of the emerging market. To enhance its performance and expand its field of application, various PA66 composites modified with nanofillers have been developed in recent years, such as the carbon nanotube [6,7], nanoclay [1,[8][9][10], and nanoparticles [11,12].…”

Section: Introductionmentioning

confidence: 99%

In Situ Polymerization of Nylon 66/Reduced Graphene Oxide Nanocomposites

Duan

Yang

et al. 2018

Journal of Nanomaterials

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A one-step method of in situ polymerization of nylon 66/reduced graphene oxide (PA66/rGO) nanocomposites is first proposed, simply by introducing graphene oxide (GO) into PA66 salt with the existence of ammonium hydroxide. The GO is prereduced by the ammonium hydroxide at an early stage of the polymerization process and then grafted on the PA66 chains, accompanied with the thermal reduction of GO. The PA66 chains were grafted onto the GO nanosheets through the condensation between the oxygen-containing functional groups of the GO and the terminal amino ends of the PA66 chains. The effect of GO on the mechanical properties, especially tensile strength, of nanocomposites was investigated. The results revealed that the incorporation of a very small amount (about 1 wt%) of GO caused a significant improvement in ultimate tensile strength (about 17%). The SEM of the fracture surface of composites indicated a good dispersion of rGO in the matrix. Raman spectroscopy, thermogravimetric analysis (TGA), scanning electron microscope (SEM), Fourier transformed infrared spectroscopy (FTIR), and XRD patterns of rGO, which was isolated from nanocomposites, revealed that the GO nanolayers were simultaneously reduced and PA66 chains were grafted on the rGO nanosheet during the polymerization process. The rGO grafted with the PA66 chain increases its compatibility in the PA66 matrix and effectively enhanced the interfacial energy of the composites.

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“…Rajeesh et al [12] considered the influence of humidity on the flexural fatigue behavior of commercial grade polyamide-6 granules and hectorite clay nanocomposites. The improvement of fatigue behavior due to addition of nanoparticles and the influence of environment were considered in several researches [13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Experimental and artificial neural network ANN investigation of bending fatigue behavior of glass fiber/polyester composite shafts

Hassan

Mohammed

Abdulsamad

2018

J Braz. Soc. Mech. Sci. Eng.

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This study includes an experimental investigation for rotating bending fatigue in five types of composite material shaft with comparison to a standard type made of pure polyester material. In addition, an artificial neural network ANN prediction is compared with experimental part. The five types vary according to the type of glass fiber fabric (thin and thick fiber fabric) and fiber volume fraction (10.2 and 14.6% for thin fibers, and 14.6, 29.3 and 43.9% for thick fibers). Tensile tests are performed to identify the range of applied fatigue stress for every type. Specimens weight is measured in order to calculate the ratio of strength to weight. The rotating bending fatigue tests are performed to record the fatigue behavior for each type. Results show that the type with (29.3%) volume fraction of thick fiber has the maximum tensile strength to weight ratio with (290%) improvement compared with the standard type. The best fatigue behavior is for type with (14.6%) volume fraction of thin glass fibers. This type has the maximum value of fatigue stress at life limit of (10 6 cycles) with (362%) improvement compared with the standard type. Then, the types with (29.3%) and (43.9%) volume fractions of thick glass fibers make (356%) and (331%) improvement of fatigue stress, respectively. The ANN gives satisfactory results and it is a good prediction tool for fatigue life of composite materials.

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Influence of imbibed moisture and organoclay on tensile and indentation behavior of polyamide 66/hectorite nanocomposites

Cited by 28 publications

References 19 publications

The Influence of Kaolin Clay on the Mechanical Properties and Structure of Thermoplastic Starch Films

The Influence of Kaolin Clay on the Mechanical Properties and Structure of Thermoplastic Starch Films

In Situ Polymerization of Nylon 66/Reduced Graphene Oxide Nanocomposites

Experimental and artificial neural network ANN investigation of bending fatigue behavior of glass fiber/polyester composite shafts

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