Defining the lower and upper limit of the effective modulus of CNT/polypropylene composites through integration of modeling and experiments

Bhuiyan, Mohammad Amir Hossain; Pucha, Raghuram V.; Worthy, Johnny L.; Karevan, Mehdi; Kalaitzidou, Kyriaki

doi:10.1016/j.compstruct.2012.06.025

Cited by 59 publications

(37 citation statements)

References 38 publications

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“…Any change in phase angle reflects changes in the material stiffness (Gao and Mader, 2002) and by scanning across the CNT-PP interphase one can obtain the thickness/width of the interphase as well as the stiffness (modulus) profile across the interphase. As reported in our previous studies (Bhuiyan et al, 2011(Bhuiyan et al, , 2012(Bhuiyan et al, , 2013, the average width/thickness of the interphase is ~20 nm and the interphase modulus varies from Eint = ECNT at the CNT surface to Eint = EPP at the interface surface adjacent to the polymer following a property (modulus) gradient profile across the thickness of the interphase. The modulus profile across the interphase can be better described using a fourth order polynomial equation as shown below that is derived using Matlab ® polyfit function.…”

Section: Modeling Of Cnt/pp Compositesmentioning

confidence: 76%

“…A typical SEM image of 4 wt% CNT/PP composites is presented in Figure 1A. The CNT/polymer interphase was characterized using AFM in terms of its' thickness and stiffness, as we reported in our prior studies (Bhuiyan et al, 2012(Bhuiyan et al, , 2013.…”

Section: Characterization Of Compositesmentioning

confidence: 99%

“…However, a comprehensive three dimensional (3D) RVE model to capture the synergistic effect of all the CNT characteristics on the composites elastic modulus and that is sensitive enough to differentiate between composites with small changes in the microstructure is absent. This study fills this gap, i.e., it investigates the ability of a multi-CNT 3D RVE model, developed combining image analysis approach and finite element method (FEM), as presented in our previous studies (Bhuiyan et al, 2012(Bhuiyan et al, , 2013, to capture small changes in the CNT characteristics, such as dispersion, distribution, orientation, and waviness of CNT, within the polymer matrix and provides a systematic approach to understand the synergistic effect of these CNT characteristics, which can be altered by processing conditions, on the elastic properties of PCNs. Such an approach has the potential to lead to composites with engineered properties.…”

Section: Tensile Modulus Prediction Of Cnt/pp Nanocompositesmentioning

confidence: 99%

“…Therefore, it is concluded that the load transfer capacity of the CNTs used in this study is maximized when the CNT length is 1500 nm. The details of the FEA parametric study can be found in Bhuiyan et al (2012). In addition, the CNT is modeled as effective (solid) fiber of diameter equal to the CNT OD (Bhuiyan et al, 2013).…”

Section: Modeling Of Cnt/pp Compositesmentioning

confidence: 99%

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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: Modeling Of Cnt/pp Compositesmentioning

confidence: 76%

Section: Characterization Of Compositesmentioning

confidence: 99%

Section: Tensile Modulus Prediction Of Cnt/pp Nanocompositesmentioning

confidence: 99%

Section: Modeling Of Cnt/pp Compositesmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Therefore, one of the most promising applications is as reinforcing fillers (Shen et al 2007;Bhuiyan et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Functionalization of Multi-Walled Carbon Nanotube and Mechanical Property of Epoxy-Based Nanocomposite

Francisco

Ferreira

et al. 2015

J.Aerosp. Technol. Manag.

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The focus of this study is to evaluate the effect of carboxyl and amino functionalization of multiwalled carbon nanotubes on the mechanical property of the epoxy resin filled with modified carbon nanotubes. The carbon nanotubes were treated with sulfuric and nitric acids and also with hexamethylenediamine. The presence of acid and amine chemical groups on the carbon nanotube surface was confirmed by X-ray photoelectron spectroscopy. The composites were produced with epoxy resin and modified carbon nanotubes. Vickers hardness tests were carried out on the composites and neat resin. The results showed an increase of hardness in the composite prepared with functionalized carbon nanotubes. This phenomenon is due to the fact that the chemical interaction between modified carbon nanotube and epoxy resin is much stronger than between pristine carbon nanotube and epoxy resin. This stronger interaction is related to the presence of functionalized carbon nanotubes.

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Introduction for Nanomaterials and Nanocomposites: State of Art, New Challenges, and Opportunities

Visakh

2016

Nanomaterials and Nanocomposites

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Defining the lower and upper limit of the effective modulus of CNT/polypropylene composites through integration of modeling and experiments

Cited by 59 publications

References 38 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

Functionalization of Multi-Walled Carbon Nanotube and Mechanical Property of Epoxy-Based Nanocomposite

Introduction for Nanomaterials and Nanocomposites: State of Art, New Challenges, and Opportunities

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