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
Autor*in: |
Wang, Weimiao [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2022transfer abstract |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: No title available - an international journal, Amsterdam [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:218 ; year:2022 ; day:8 ; month:02 ; pages:0 |
Links: |
---|
DOI / URN: |
10.1016/j.compscitech.2021.109131 |
---|
Katalog-ID: |
ELV056301391 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV056301391 | ||
003 | DE-627 | ||
005 | 20230626043050.0 | ||
007 | cr uuu---uuuuu | ||
008 | 220105s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.compscitech.2021.109131 |2 doi | |
028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica |
035 | |a (DE-627)ELV056301391 | ||
035 | |a (ELSEVIER)S0266-3538(21)00487-5 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Wang, Weimiao |e verfasserin |4 aut | |
245 | 1 | 0 | |a Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
264 | 1 | |c 2022transfer abstract | |
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
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 | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |t No title available |d an international journal |g Amsterdam [u.a.] |w (DE-627)ELV013958402 |7 nnns |
773 | 1 | 8 | |g volume:218 |g year:2022 |g day:8 |g month:02 |g pages:0 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.compscitech.2021.109131 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a GBV_ILN_40 | ||
951 | |a AR | ||
952 | |d 218 |j 2022 |b 8 |c 0208 |h 0 |
author_variant |
w w ww |
---|---|
matchkey_str |
wangweimiaolizhelingmarsdenalexjbissettm:2022----:ehnssfenocmnopaaenncmoie |
hierarchy_sort_str |
2022transfer abstract |
publishDate |
2022 |
allfields |
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 |
language |
English |
source |
Enthalten in No title available Amsterdam [u.a.] volume:218 year:2022 day:8 month:02 pages:0 |
sourceStr |
Enthalten in No title available Amsterdam [u.a.] volume:218 year:2022 day:8 month:02 pages:0 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
D: Raman spectroscopy A: Graphene and other 2D materials A: Nanocomposites B: Mechanical properties C: Multiscale modelling |
isfreeaccess_bool |
false |
container_title |
No title available |
authorswithroles_txt_mv |
Wang, Weimiao @@aut@@ Li, Zheling @@oth@@ Marsden, Alex J. @@oth@@ Bissett, Mark A. @@oth@@ Young, Robert J. @@oth@@ |
publishDateDaySort_date |
2022-01-08T00:00:00Z |
hierarchy_top_id |
ELV013958402 |
id |
ELV056301391 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056301391</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626043050.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.compscitech.2021.109131</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056301391</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0266-3538(21)00487-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Weimiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">D: Raman spectroscopy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A: Graphene and other 2D materials</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A: Nanocomposites</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">B: Mechanical properties</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">C: Multiscale modelling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Zheling</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marsden, Alex J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bissett, Mark A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Young, Robert J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="t">No title available</subfield><subfield code="d">an international journal</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013958402</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:218</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:8</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.compscitech.2021.109131</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">218</subfield><subfield code="j">2022</subfield><subfield code="b">8</subfield><subfield code="c">0208</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
author |
Wang, Weimiao |
spellingShingle |
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 |
authorStr |
Wang, Weimiao |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV013958402 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling Elsevier |
topic |
Elsevier D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling |
topic_unstemmed |
Elsevier D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling |
topic_browse |
Elsevier D: Raman spectroscopy Elsevier A: Graphene and other 2D materials Elsevier A: Nanocomposites Elsevier B: Mechanical properties Elsevier C: Multiscale modelling |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
z l zl a j m aj ajm m a b ma mab r j y rj rjy |
hierarchy_parent_title |
No title available |
hierarchy_parent_id |
ELV013958402 |
hierarchy_top_title |
No title available |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV013958402 |
title |
Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
ctrlnum |
(DE-627)ELV056301391 (ELSEVIER)S0266-3538(21)00487-5 |
title_full |
Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
author_sort |
Wang, Weimiao |
journal |
No title available |
journalStr |
No title available |
lang_code |
eng |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2022 |
contenttype_str_mv |
zzz |
container_start_page |
0 |
author_browse |
Wang, Weimiao |
container_volume |
218 |
format_se |
Elektronische Aufsätze |
author-letter |
Wang, Weimiao |
doi_str_mv |
10.1016/j.compscitech.2021.109131 |
title_sort |
mechanisms of reinforcement of pva-based nanocomposites by hbn nanosheets |
title_auth |
Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
abstract |
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. |
abstract_unstemmed |
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. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 |
title_short |
Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets |
url |
https://doi.org/10.1016/j.compscitech.2021.109131 |
remote_bool |
true |
author2 |
Li, Zheling Marsden, Alex J. Bissett, Mark A. Young, Robert J. |
author2Str |
Li, Zheling Marsden, Alex J. Bissett, Mark A. Young, Robert J. |
ppnlink |
ELV013958402 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth |
doi_str |
10.1016/j.compscitech.2021.109131 |
up_date |
2024-07-06T19:59:51.275Z |
_version_ |
1803861089348222976 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056301391</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626043050.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.compscitech.2021.109131</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001622.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056301391</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0266-3538(21)00487-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Weimiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mechanisms of reinforcement of PVA-Based nanocomposites by hBN nanosheets</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">D: Raman spectroscopy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A: Graphene and other 2D materials</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A: Nanocomposites</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">B: Mechanical properties</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">C: Multiscale modelling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Zheling</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marsden, Alex J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bissett, Mark A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Young, Robert J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="t">No title available</subfield><subfield code="d">an international journal</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013958402</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:218</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:8</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.compscitech.2021.109131</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">218</subfield><subfield code="j">2022</subfield><subfield code="b">8</subfield><subfield code="c">0208</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
score |
7.4004145 |