Quantification of Particulate Mixing in Nanocomposites
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作者:
Hui, L.
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机构:
Rensselaer Polytech Inst, Troy, NY 12180 USARensselaer Polytech Inst, Troy, NY 12180 USA
Hui, L.
[1
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Smith, R. C.
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机构:
Rensselaer Polytech Inst, Troy, NY 12180 USARensselaer Polytech Inst, Troy, NY 12180 USA
Smith, R. C.
[1
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Wang, X.
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机构:
Rensselaer Polytech Inst, Troy, NY 12180 USARensselaer Polytech Inst, Troy, NY 12180 USA
Wang, X.
[1
]
Nelson, J. K.
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机构:
Rensselaer Polytech Inst, Troy, NY 12180 USARensselaer Polytech Inst, Troy, NY 12180 USA
Nelson, J. K.
[1
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Schadler, L. S.
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机构:
Rensselaer Polytech Inst, Troy, NY 12180 USARensselaer Polytech Inst, Troy, NY 12180 USA
Schadler, L. S.
[1
]
机构:
[1] Rensselaer Polytech Inst, Troy, NY 12180 USA
来源:
2008 IEEE CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA
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2008年
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中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Quality control has demanded methods to quantify the mixing state of nanoparticles imbedded in polymeric materials. Several quantification methods are reviewed based on the analysis of images from electron microscopy. This includes the quadrat-based skewness, nearest neighbor distance, the k-function and Monte Carlo method. A novel method in which the dispersion and distribution are evaluated respectively through aspects of the equivalent radius deviation and the distance between the gravity centers of particles or clusters is proposed. The efficacy of the method suggested is illustrated by the analysis of Transmission Electron Microscopy (TEM) images of untreated and vinyl-silane treated 12.5 wt% nano-silica/XLPE. It is shown that the combined method provides complete information on the state of the composite, and is the most direct and convenient methodology.
机构:
Univ Western Sydney, Sch Engn, Penrith, NSW 1797, Australia
Univ New South Wales, Sch Mat Sci &Engn, Sydney, NSW 2052, AustraliaUniv Western Sydney, Sch Engn, Penrith, NSW 1797, Australia
Zeng, Qinghua
Xu, Wen
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机构:
Univ Western Sydney, Sch Engn, Penrith, NSW 1797, AustraliaUniv Western Sydney, Sch Engn, Penrith, NSW 1797, Australia
Xu, Wen
Yu, Aibing
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机构:
Univ Western Sydney, Sch Engn, Penrith, NSW 1797, AustraliaUniv Western Sydney, Sch Engn, Penrith, NSW 1797, Australia
Yu, Aibing
Paul, Donald R.
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机构:
Univ Texas Austin, Dept Chem Engn, Austin, TX 78712 USAUniv Western Sydney, Sch Engn, Penrith, NSW 1797, Australia