Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration
This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is con...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Chuanzhen [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners - Jacobs, Jacquelyn A. ELSEVIER, 2017, JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics, Lausanne |
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| Übergeordnetes Werk: |
volume:793 ; year:2019 ; day:15 ; month:07 ; pages:191-201 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.jallcom.2019.04.197 |
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ELV046711171 |
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| 245 | 1 | 0 | |a Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration |
| 264 | 1 | |c 2019transfer abstract | |
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| 520 | |a This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. | ||
| 520 | |a This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. | ||
| 650 | 7 | |a Carbon nanotube |2 Elsevier | |
| 650 | 7 | |a Micromechanics |2 Elsevier | |
| 650 | 7 | |a Metal matrix nanocomposite |2 Elsevier | |
| 650 | 7 | |a Thermal conductivity |2 Elsevier | |
| 650 | 7 | |a Agglomeration |2 Elsevier | |
| 700 | 1 | |a Sun, Xiaolu |4 oth | |
| 700 | 1 | |a Deng, Jianjun |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Jacobs, Jacquelyn A. ELSEVIER |t Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners |d 2017 |d JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics |g Lausanne |w (DE-627)ELV001115774 |
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10.1016/j.jallcom.2019.04.197 doi GBV00000000000664.pica (DE-627)ELV046711171 (ELSEVIER)S0925-8388(19)31486-0 DE-627 ger DE-627 rakwb eng 630 VZ Wang, Chuanzhen verfasserin aut Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. Carbon nanotube Elsevier Micromechanics Elsevier Metal matrix nanocomposite Elsevier Thermal conductivity Elsevier Agglomeration Elsevier Sun, Xiaolu oth Deng, Jianjun oth Enthalten in Elsevier Jacobs, Jacquelyn A. ELSEVIER Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners 2017 JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics Lausanne (DE-627)ELV001115774 volume:793 year:2019 day:15 month:07 pages:191-201 extent:11 https://doi.org/10.1016/j.jallcom.2019.04.197 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 793 2019 15 0715 191-201 11 |
| spelling |
10.1016/j.jallcom.2019.04.197 doi GBV00000000000664.pica (DE-627)ELV046711171 (ELSEVIER)S0925-8388(19)31486-0 DE-627 ger DE-627 rakwb eng 630 VZ Wang, Chuanzhen verfasserin aut Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. Carbon nanotube Elsevier Micromechanics Elsevier Metal matrix nanocomposite Elsevier Thermal conductivity Elsevier Agglomeration Elsevier Sun, Xiaolu oth Deng, Jianjun oth Enthalten in Elsevier Jacobs, Jacquelyn A. ELSEVIER Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners 2017 JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics Lausanne (DE-627)ELV001115774 volume:793 year:2019 day:15 month:07 pages:191-201 extent:11 https://doi.org/10.1016/j.jallcom.2019.04.197 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 793 2019 15 0715 191-201 11 |
| allfields_unstemmed |
10.1016/j.jallcom.2019.04.197 doi GBV00000000000664.pica (DE-627)ELV046711171 (ELSEVIER)S0925-8388(19)31486-0 DE-627 ger DE-627 rakwb eng 630 VZ Wang, Chuanzhen verfasserin aut Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. Carbon nanotube Elsevier Micromechanics Elsevier Metal matrix nanocomposite Elsevier Thermal conductivity Elsevier Agglomeration Elsevier Sun, Xiaolu oth Deng, Jianjun oth Enthalten in Elsevier Jacobs, Jacquelyn A. ELSEVIER Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners 2017 JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics Lausanne (DE-627)ELV001115774 volume:793 year:2019 day:15 month:07 pages:191-201 extent:11 https://doi.org/10.1016/j.jallcom.2019.04.197 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 793 2019 15 0715 191-201 11 |
| allfieldsGer |
10.1016/j.jallcom.2019.04.197 doi GBV00000000000664.pica (DE-627)ELV046711171 (ELSEVIER)S0925-8388(19)31486-0 DE-627 ger DE-627 rakwb eng 630 VZ Wang, Chuanzhen verfasserin aut Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. Carbon nanotube Elsevier Micromechanics Elsevier Metal matrix nanocomposite Elsevier Thermal conductivity Elsevier Agglomeration Elsevier Sun, Xiaolu oth Deng, Jianjun oth Enthalten in Elsevier Jacobs, Jacquelyn A. ELSEVIER Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners 2017 JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics Lausanne (DE-627)ELV001115774 volume:793 year:2019 day:15 month:07 pages:191-201 extent:11 https://doi.org/10.1016/j.jallcom.2019.04.197 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 793 2019 15 0715 191-201 11 |
| allfieldsSound |
10.1016/j.jallcom.2019.04.197 doi GBV00000000000664.pica (DE-627)ELV046711171 (ELSEVIER)S0925-8388(19)31486-0 DE-627 ger DE-627 rakwb eng 630 VZ Wang, Chuanzhen verfasserin aut Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. Carbon nanotube Elsevier Micromechanics Elsevier Metal matrix nanocomposite Elsevier Thermal conductivity Elsevier Agglomeration Elsevier Sun, Xiaolu oth Deng, Jianjun oth Enthalten in Elsevier Jacobs, Jacquelyn A. ELSEVIER Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners 2017 JAL : an interdisciplinary journal of materials science and solid-state chemistry and physics Lausanne (DE-627)ELV001115774 volume:793 year:2019 day:15 month:07 pages:191-201 extent:11 https://doi.org/10.1016/j.jallcom.2019.04.197 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 793 2019 15 0715 191-201 11 |
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Enthalten in Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners Lausanne volume:793 year:2019 day:15 month:07 pages:191-201 extent:11 |
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Factors associated with canine resource guarding behaviour in the presence of people: A cross-sectional survey of dog owners |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV046711171</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626014219.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191021s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jallcom.2019.04.197</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000664.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV046711171</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0925-8388(19)31486-0</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="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Chuanzhen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">11</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">This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. 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Micromechanical estimation of effective thermal conductivities of metal matrix nanocomposites with local carbon nanotube agglomeration |
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This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. |
| abstractGer |
This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. |
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This study aims to estimate effective thermal conductivities of metal matrix nanocomposites (MMNCs) containing carbon nanotubes (CNTs) using a new hierarchical micromechanical method. Nano-filler agglomeration made of CNTs into the MMNCs, frequently encountered in real engineering situations, is considered as the main novelty of this approach. Also, two important parameters, including CNT curvature and interfacial thermal resistance between the CNT and metal matrix are taken into account in the micromechanical modeling. The developed hierarchical approach is validated through the comparison with the experimental measurements available in the literature. When CNTs are not well dispersed into the metal matrix, by incorporating the interfacial thermal resistance, CNT curvature and agglomeration, the predictions are in good agreement with the experiment of MMNC thermal conductivities. The results reveal that the CNT agglomeration can dramatically decrease the MMNC thermal properties. It is confirmed that the key issues to enhance the thermal conductivity of CNT-reinforced MMNCs are homogeneous distribution of CNTs and decrease of CNT/metal interfacial thermal resistance. Also, it is observed that the MMNCs show a significant improvement of thermal conductivity by alignment of CNTs into the metal matrix. The effects of CNT volume fraction, diameter and length on the MMNC thermal conductivities are examined. |
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