Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets
A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Weimiao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Übergeordnetes Werk: |
Enthalten in: No title available - an international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:218 ; year:2022 ; day:8 ; month:02 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.compscitech.2021.109131 |
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ELV056301391 |
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| 245 | 1 | 0 | |a Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
| 264 | 1 | |c 2022transfer abstract | |
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| 520 | |a A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. | ||
| 520 | |a A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. | ||
| 650 | 7 | |a D: Raman spectroscopy |2 Elsevier | |
| 650 | 7 | |a A: Graphene and other 2D materials |2 Elsevier | |
| 650 | 7 | |a A: Nanocomposites |2 Elsevier | |
| 650 | 7 | |a B: Mechanical properties |2 Elsevier | |
| 650 | 7 | |a C: Multiscale modelling |2 Elsevier | |
| 700 | 1 | |a Li, Zheling |4 oth | |
| 700 | 1 | |a Marsden, Alex J. |4 oth | |
| 700 | 1 | |a Bissett, Mark A. |4 oth | |
| 700 | 1 | |a Young, Robert J. |4 oth | |
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10.1016/j.compscitech.2021.109131 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica (DE-627)ELV056301391 (ELSEVIER)S0266-3538(21)00487-5 DE-627 ger DE-627 rakwb eng Wang, Weimiao verfasserin aut Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Elsevier Li, Zheling oth Marsden, Alex J. oth Bissett, Mark A. oth Young, Robert J. oth Enthalten in Elsevier No title available an international journal Amsterdam [u.a.] (DE-627)ELV013958402 nnns volume:218 year:2022 day:8 month:02 pages:0 https://doi.org/10.1016/j.compscitech.2021.109131 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 AR 218 2022 8 0208 0 |
| spelling |
10.1016/j.compscitech.2021.109131 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica (DE-627)ELV056301391 (ELSEVIER)S0266-3538(21)00487-5 DE-627 ger DE-627 rakwb eng Wang, Weimiao verfasserin aut Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Elsevier Li, Zheling oth Marsden, Alex J. oth Bissett, Mark A. oth Young, Robert J. oth Enthalten in Elsevier No title available an international journal Amsterdam [u.a.] (DE-627)ELV013958402 nnns volume:218 year:2022 day:8 month:02 pages:0 https://doi.org/10.1016/j.compscitech.2021.109131 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 AR 218 2022 8 0208 0 |
| allfields_unstemmed |
10.1016/j.compscitech.2021.109131 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica (DE-627)ELV056301391 (ELSEVIER)S0266-3538(21)00487-5 DE-627 ger DE-627 rakwb eng Wang, Weimiao verfasserin aut Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Elsevier Li, Zheling oth Marsden, Alex J. oth Bissett, Mark A. oth Young, Robert J. oth Enthalten in Elsevier No title available an international journal Amsterdam [u.a.] (DE-627)ELV013958402 nnns volume:218 year:2022 day:8 month:02 pages:0 https://doi.org/10.1016/j.compscitech.2021.109131 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 AR 218 2022 8 0208 0 |
| allfieldsGer |
10.1016/j.compscitech.2021.109131 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica (DE-627)ELV056301391 (ELSEVIER)S0266-3538(21)00487-5 DE-627 ger DE-627 rakwb eng Wang, Weimiao verfasserin aut Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Elsevier Li, Zheling oth Marsden, Alex J. oth Bissett, Mark A. oth Young, Robert J. oth Enthalten in Elsevier No title available an international journal Amsterdam [u.a.] (DE-627)ELV013958402 nnns volume:218 year:2022 day:8 month:02 pages:0 https://doi.org/10.1016/j.compscitech.2021.109131 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 AR 218 2022 8 0208 0 |
| allfieldsSound |
10.1016/j.compscitech.2021.109131 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica (DE-627)ELV056301391 (ELSEVIER)S0266-3538(21)00487-5 DE-627 ger DE-627 rakwb eng Wang, Weimiao verfasserin aut Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Elsevier Li, Zheling oth Marsden, Alex J. oth Bissett, Mark A. oth Young, Robert J. oth Enthalten in Elsevier No title available an international journal Amsterdam [u.a.] (DE-627)ELV013958402 nnns volume:218 year:2022 day:8 month:02 pages:0 https://doi.org/10.1016/j.compscitech.2021.109131 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 AR 218 2022 8 0208 0 |
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Wang, Weimiao @@aut@@ Li, Zheling @@oth@@ Marsden, Alex J. @@oth@@ Bissett, Mark A. @@oth@@ Young, Robert J. @@oth@@ |
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Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. 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Wang, Weimiao Elsevier D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
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Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
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A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. |
| abstractGer |
A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. |
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A systematic study has been undertaken of the reinforcement of poly (vinyl alcohol) (PVA) by hexagonal boron nitride (hBN) nanosheets (BNNSs) produced by the liquid-phase exfoliation of hBN crystals. Three types of BNNSs with different geometries were prepared, two of which had similar lateral dimensions and two that had a similar aspect ratio (length/thickness). PVA nanocomposites with different loadings of the three types of BNNSs were prepared and this enabled the effect of BNNS volume fraction and geometry upon the mechanical properties such as Young's modulus, yield stress and breaking strength, to be determined. Although the Raman scattering from hBN is relatively weak compared with that from graphene, it was shown that Raman spectroscopy could be used to both evaluate the distribution of the BNNSs in the nanocomposites and follow stress transfer from the polymer matrix to the BNNSs. It was found that the reinforcement of the polymer could be modelled using a combinations of the rule of mixtures and modified shear lag theory. The highest level of reinforcement was found for the BNNSs with the largest aspect ratio although there was evidence of a decline in the level of reinforcement at the highest loadings of all types of BNNSs, as the result of agglomeration of the nanosheets. |
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