Starch/polycaprolactone/graphene nanocomposites: shape memory behavior
The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and...
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Gespeichert in:
| Autor*in: |
Shahsavari, Elaheh [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Iranian polymer journal - Tehran : Iran Polymer and Petrochemical Inst., 1992, 32(2023), 6 vom: 20. März, Seite 763-772 |
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| Übergeordnetes Werk: |
volume:32 ; year:2023 ; number:6 ; day:20 ; month:03 ; pages:763-772 |
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| DOI / URN: |
10.1007/s13726-023-01166-9 |
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SPR051548488 |
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| 520 | |a The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract | ||
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| 650 | 4 | |a Graphene nanoplatelet |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Thermoplastic starch |7 (dpeaa)DE-He213 | |
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10.1007/s13726-023-01166-9 doi (DE-627)SPR051548488 (SPR)s13726-023-01166-9-e DE-627 ger DE-627 rakwb eng Shahsavari, Elaheh verfasserin aut Starch/polycaprolactone/graphene nanocomposites: shape memory behavior 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract Shape memory polymer (dpeaa)DE-He213 Nanocomposite (dpeaa)DE-He213 Graphene nanoplatelet (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Thermoplastic starch (dpeaa)DE-He213 Ghasemi, Ismaeil (orcid)0000-0002-6024-7895 aut Karrabi, Mohammad aut Azizi, Hamed aut Enthalten in Iranian polymer journal Tehran : Iran Polymer and Petrochemical Inst., 1992 32(2023), 6 vom: 20. März, Seite 763-772 (DE-627)506027341 (DE-600)2218064-3 1735-5265 nnns volume:32 year:2023 number:6 day:20 month:03 pages:763-772 https://dx.doi.org/10.1007/s13726-023-01166-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2023 6 20 03 763-772 |
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10.1007/s13726-023-01166-9 doi (DE-627)SPR051548488 (SPR)s13726-023-01166-9-e DE-627 ger DE-627 rakwb eng Shahsavari, Elaheh verfasserin aut Starch/polycaprolactone/graphene nanocomposites: shape memory behavior 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract Shape memory polymer (dpeaa)DE-He213 Nanocomposite (dpeaa)DE-He213 Graphene nanoplatelet (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Thermoplastic starch (dpeaa)DE-He213 Ghasemi, Ismaeil (orcid)0000-0002-6024-7895 aut Karrabi, Mohammad aut Azizi, Hamed aut Enthalten in Iranian polymer journal Tehran : Iran Polymer and Petrochemical Inst., 1992 32(2023), 6 vom: 20. März, Seite 763-772 (DE-627)506027341 (DE-600)2218064-3 1735-5265 nnns volume:32 year:2023 number:6 day:20 month:03 pages:763-772 https://dx.doi.org/10.1007/s13726-023-01166-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2023 6 20 03 763-772 |
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10.1007/s13726-023-01166-9 doi (DE-627)SPR051548488 (SPR)s13726-023-01166-9-e DE-627 ger DE-627 rakwb eng Shahsavari, Elaheh verfasserin aut Starch/polycaprolactone/graphene nanocomposites: shape memory behavior 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract Shape memory polymer (dpeaa)DE-He213 Nanocomposite (dpeaa)DE-He213 Graphene nanoplatelet (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Thermoplastic starch (dpeaa)DE-He213 Ghasemi, Ismaeil (orcid)0000-0002-6024-7895 aut Karrabi, Mohammad aut Azizi, Hamed aut Enthalten in Iranian polymer journal Tehran : Iran Polymer and Petrochemical Inst., 1992 32(2023), 6 vom: 20. März, Seite 763-772 (DE-627)506027341 (DE-600)2218064-3 1735-5265 nnns volume:32 year:2023 number:6 day:20 month:03 pages:763-772 https://dx.doi.org/10.1007/s13726-023-01166-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2023 6 20 03 763-772 |
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10.1007/s13726-023-01166-9 doi (DE-627)SPR051548488 (SPR)s13726-023-01166-9-e DE-627 ger DE-627 rakwb eng Shahsavari, Elaheh verfasserin aut Starch/polycaprolactone/graphene nanocomposites: shape memory behavior 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract Shape memory polymer (dpeaa)DE-He213 Nanocomposite (dpeaa)DE-He213 Graphene nanoplatelet (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Thermoplastic starch (dpeaa)DE-He213 Ghasemi, Ismaeil (orcid)0000-0002-6024-7895 aut Karrabi, Mohammad aut Azizi, Hamed aut Enthalten in Iranian polymer journal Tehran : Iran Polymer and Petrochemical Inst., 1992 32(2023), 6 vom: 20. März, Seite 763-772 (DE-627)506027341 (DE-600)2218064-3 1735-5265 nnns volume:32 year:2023 number:6 day:20 month:03 pages:763-772 https://dx.doi.org/10.1007/s13726-023-01166-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2023 6 20 03 763-772 |
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10.1007/s13726-023-01166-9 doi (DE-627)SPR051548488 (SPR)s13726-023-01166-9-e DE-627 ger DE-627 rakwb eng Shahsavari, Elaheh verfasserin aut Starch/polycaprolactone/graphene nanocomposites: shape memory behavior 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract Shape memory polymer (dpeaa)DE-He213 Nanocomposite (dpeaa)DE-He213 Graphene nanoplatelet (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Thermoplastic starch (dpeaa)DE-He213 Ghasemi, Ismaeil (orcid)0000-0002-6024-7895 aut Karrabi, Mohammad aut Azizi, Hamed aut Enthalten in Iranian polymer journal Tehran : Iran Polymer and Petrochemical Inst., 1992 32(2023), 6 vom: 20. März, Seite 763-772 (DE-627)506027341 (DE-600)2218064-3 1735-5265 nnns volume:32 year:2023 number:6 day:20 month:03 pages:763-772 https://dx.doi.org/10.1007/s13726-023-01166-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2023 6 20 03 763-772 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. 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Starch/polycaprolactone/graphene nanocomposites: shape memory behavior |
| abstract |
The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
The shape memory behavior studies are established concerning polycaprolactone/thermoplastic starch/graphene nanoplatelet (PCL/TPS/GNP) nanocomposites. Response surface methodology (RSM) and Box–Behnken statistical design experiment methods were employed to evaluate the effects of PCL, glycerol, and GNP contents on shape memory properties and to optimize the values of these experimental parameters. For this purpose, the shape fixity and shape recovery of 15 samples with various compositions were measured, and high R2 values in the range of 0.75–0.88 were obtained for all responses. The shape recovery rate of several samples also was studied. The droplet–matrix morphology observed in SEM images and the DMTA results revealed enhanced compatibility between polymeric phases due to the presence of GNPs. The shape recovery step was accomplished using water stimuli. The results suggested that increasing the glycerol content from 15 to 25% (by weights) or decreasing the PCL content from 30 to 10% (by weights) amplifies the shape recovery of the nanocomposites by about 20% due to the higher potentials of water uptake. The recovery duration from temporary to permanent shape up to 100 s showed a high recovery rate of samples by immersion in 37 °C water. In contrast to inspections, adding GNP to the blends showed insignificant changes in shape memory behavior owing to choosing the water-stimuli method. Graphical abstract © Iran Polymer and Petrochemical Institute 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Starch/polycaprolactone/graphene nanocomposites: shape memory behavior |
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Ghasemi, Ismaeil Karrabi, Mohammad Azizi, Hamed |
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10.1007/s13726-023-01166-9 |
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2024-07-03T22:26:30.098Z |
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| score |
7.399207 |