A modified micromechanical model to predict the creep modulus of polymeric nanocomposites. (February 2018)
- Record Type:
- Journal Article
- Title:
- A modified micromechanical model to predict the creep modulus of polymeric nanocomposites. (February 2018)
- Main Title:
- A modified micromechanical model to predict the creep modulus of polymeric nanocomposites
- Authors:
- Shokrieh, Z.
Shokrieh, M.M.
Zhao, Z. - Abstract:
- Abstract: By experimental characterization of the creep behavior of the neat polymer and a micromechanical model, a novel approach was developed to predict the creep behavior of polymeric nanocomposites. Epoxy resin and graphene nano-platelets were considered as the matrix and nano-filler, respectively. Two available micromechanical models, namely the Halpin-Tsai (H-T) and the Mori-Tanaka (M-T) models were used and modified in the present approach. The random distribution of graphene nano platelets in epoxy resin was considered in the modeling approach. An experimental program was conducted using dynamic mechanical analysis (DMA) to characterize the creep behavior of the neat polymer and to evaluate the capability of the present approach. The results obtained from the proposed approach are in good agreement with the results of experiments at low nano-filler contents (<0.5 wt%). It was observed that predictions of the H-T model were more compatible with the experimental results at low filler contents (<0.25 wt%), whereas the M-T model was more reliable at high filler contents (>0.25 wt%). At higher nano-filler contents (>0.5 wt%), agglomeration of nanoparticles leads to a decrease in the creep modulus of nanocomposites compared to that of predicted by the present approach. Highlights: A novel approach was developed to predict the creep behavior of nanocomposites. A micromechanical models was modified to establish the present approach. The random distribution of graphene inAbstract: By experimental characterization of the creep behavior of the neat polymer and a micromechanical model, a novel approach was developed to predict the creep behavior of polymeric nanocomposites. Epoxy resin and graphene nano-platelets were considered as the matrix and nano-filler, respectively. Two available micromechanical models, namely the Halpin-Tsai (H-T) and the Mori-Tanaka (M-T) models were used and modified in the present approach. The random distribution of graphene nano platelets in epoxy resin was considered in the modeling approach. An experimental program was conducted using dynamic mechanical analysis (DMA) to characterize the creep behavior of the neat polymer and to evaluate the capability of the present approach. The results obtained from the proposed approach are in good agreement with the results of experiments at low nano-filler contents (<0.5 wt%). It was observed that predictions of the H-T model were more compatible with the experimental results at low filler contents (<0.25 wt%), whereas the M-T model was more reliable at high filler contents (>0.25 wt%). At higher nano-filler contents (>0.5 wt%), agglomeration of nanoparticles leads to a decrease in the creep modulus of nanocomposites compared to that of predicted by the present approach. Highlights: A novel approach was developed to predict the creep behavior of nanocomposites. A micromechanical models was modified to establish the present approach. The random distribution of graphene in epoxy resin was considered in both models. An experimental program was conducted to evaluate the present approach. The present approach is not limited to any special type of micromechanical model. … (more)
- Is Part Of:
- Polymer testing. Volume 65(2018)
- Journal:
- Polymer testing
- Issue:
- Volume 65(2018)
- Issue Display:
- Volume 65, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 65
- Issue:
- 2018
- Issue Sort Value:
- 2018-0065-2018-0000
- Page Start:
- 414
- Page End:
- 419
- Publication Date:
- 2018-02
- Subjects:
- Graphene -- Polymeric nanocomposites -- Creep modulus -- Creep strain -- Micromechanics
Polymers -- Testing -- Periodicals
Polymères -- Tests -- Périodiques
620.1920287 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01429418 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.polymertesting.2017.12.020 ↗
- Languages:
- English
- ISSNs:
- 0142-9418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6547.740500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9069.xml