Square representative volume elements for evaluating the effective material properties of carbon nanotube-based composites

Chen, X.L.; Liu, Yijun

doi:10.1016/s0927-0256(03)00090-9

Cited by 260 publications

(128 citation statements)

References 31 publications

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“…Continuum mechanics based finite element analysis (FEA) methods have been successfully used to investigate the mechanical behavior of PNCs reinforced with CNT (Liu and Chen, 2003;Chen and Liu, 2004;Gade, 2005;Hu et al, 2005;Wan et al, 2005;Ashrafi and Hubert, 2006;Pantano et al, 2008;Hernández-Pérez and Avilés, 2010). FEA has also been used to study the interfacial stress transfer and possible stress singularities (Xu and Sengupta, 2005), as well as the effect of interphase thickness on the elastic properties of PNC (Wan et al, 2005;Hernández-Pérez and Avilés, 2010).…”

Section: Tensile Modulus Prediction Of Cnt/pp Nanocompositesmentioning

confidence: 99%

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

2016

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The focus of this study is to investigate the capabilities of three dimensional (3D) RVE models in predicting the tensile modulus of carbon nanotube/polypropylene (CNT/PP) composites, which differ slightly in the dispersion, agglomeration, and orientation states of CNT within the PP matrix. The composites are made using melt mixing followed by either injection molding or melt spinning of fibers. The dispersion, agglomeration, and orientation of CNT within the PP are experimentally altered by using a surfactant and by forcing the molten material to flow through a narrow orifice (melt spinning) that promotes alignment of CNT along the flow/drawing direction. An elaborate image analysis technique is used to quantify the CNT characteristics in terms of probability distribution functions (PDF). The PDF are then introduced to the 3D RVE models that also account for the CNT-PP interfacial interactions. It is concluded that the 3D RVE models can accurately distinguish among the different cases (dispersion, distribution, geometry, and alignment of CNT) as the predicted tensile modulus is in good agreement with the experimentally determined one.

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Section: Tensile Modulus Prediction Of Cnt/pp Nanocompositesmentioning

confidence: 99%

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

2016

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“…Zhang et al [7] prepared SWNT / PVA composite films with polyvinyl pyrrolidone (PVP) and sodium dodecyl sulfonate (SDS) to assist the dispersion of the nanotubes. Several authors also have studied the characteristics of CNT reinforced polymer composites in different conditions [8][9][10][11][12][13][14]. To best of our knowledge, no investigation has been done on PVA/CNT composite with gum acacia to assist the dispersion of the CNT.…”

Section: Introductionmentioning

confidence: 99%

Thermal Properties of Carbon Nanotube (CNT) Reinforced Polyvinyl Alcohol (PVA) Composites

Hasan

Das

Islam

et al. 2013

ILCPA

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Homogeneous Polyvinyl alcohol (PVA)/Carbon nanotube (CNT) composite has been prepared by solution casting method using gum acacia as a surfactant. CNT content in the composite was varied from 5-10 % by weight. The thermal properties of PVA/CNT composites were investigated by Thermo Gravimetric/Differential Thermal Analyzer (TG/DTA) and Thermo Mechanical Analyzer (TMA). TG/DTA results showed that higher thermal stability in higher percentage of CNT in the composites. The 10 % CNT containing PVA composite exhibit highest onset of melting, glass transition point and offset of melting temperature and the recoded values are 330.4K, 379K and 421.3K respectively. All of the result indicates that the developed PVA/CNT composite might be promising for use in solar cell application.

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“…The CNTs load carrying capacities in composites have been demonstrated in many preliminary simulations (Chen and Liu, 2004;Liu et al, 2005;Liu and Chen, 2003) and experiments (Qian et al, 2000;Schadler et al, 1998;Wagner et al, 1998).…”

Section: Introductionmentioning

confidence: 91%

“…Almost all the models generated by different researchers have been made of well dispersed straight fibers (Chen and Liu, 2004;Mishnaevsky, 2007;Muliana and Kim, 2007;Okereke et al, 2002;OstojaStarzewski, 2002;Song and Youn, 2006). However, the TEM images in that scale reveal that during manufacturing processes, these fibers become wavy because of the very high aspect ratios that cause no resistance to bending.…”

Section: Fig 66 Checking the Intersections Of 3d-spherical Particlesmentioning

confidence: 99%

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Microstructure-Based Computational Modeling of Mechanical Behavior of Polymer Micro/Nano Composites

Tehrani¹

2013

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Lightweight advanced materials are critical in the manufacturing of many Army vehicles. Recently, numerical tools have been utilized to customize experiments to achieve optimized behavior of micro/nano polymer composites (MNPCs). Most numerical studies are based on characterizing the MNPCs through simple microstructures, as circular particles or straight fibers embedded in a specific polymer matrix. Although these geometries are effective in virtually modeling some types of composite material behavior, they fail to address some critical key Names of Under Graduate students supportedPERCENT_SUPPORTED NAME FTE Equivalent:Total Number:The number of undergraduates funded by this agreement who graduated during this period with a degree in science, mathematics, engineering, or technology fields:The number of undergraduates funded by your agreement who graduated during this period and will continue to pursue a graduate or Ph.D. degree in science, mathematics, engineering, or technology fields:Number of graduating undergraduates who achieved a 3.5 GPA to 4.0 (4.0 max scale): Number of graduating undergraduates funded by a DoD funded Center of Excellence grant for Education, Research and Engineering:The number of undergraduates funded by your agreement who graduated during this period and intend to work for the Department of DefenseThe number of undergraduates funded by your agreement who graduated during this period and will receive scholarships or fellowships for further studies in science, mathematics, engineering or technology fields: Student Metrics This section only applies to graduating undergraduates supported by this agreement in this reporting periodThe number of undergraduates funded by this agreement who graduated during this period: 0.00 ...... Names of Personnel receiving masters degrees Inventions (DD882) Scientific ProgressBecause the mechanical responses of polymers and many types of polymer composites are in the large deformation range, the Eulerian or Lagrangian concept is required for measuring the stress and strain. On the other hand, developing a large deformation based constitutive model requires a number of considerations, and should be performed from a thermodynamics point of view to study the motion of each component of the material. Even though such approach is precise and physically sound, it is limited to just one type of material. Furthermore, polymers show high dependency to the rate and time of the applied load; hence, employing viscoelastic, viscoplastic and viscodamage models is necessary. To address these issues, a consistent framework is developed to generalize elastic/viscoelastic and plastic/viscoplastic models from small strain to the large deformation range. The developed continuum based app...

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Square representative volume elements for evaluating the effective material properties of carbon nanotube-based composites

Cited by 260 publications

References 31 publications

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

Thermal Properties of Carbon Nanotube (CNT) Reinforced Polyvinyl Alcohol (PVA) Composites

Microstructure-Based Computational Modeling of Mechanical Behavior of Polymer Micro/Nano Composites

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