Department of Chemistry, Payame Noor University, Tehran, Iran
E_sharifzadeh@sut.ac.ir
收稿:2018-06-23,
修回:2018-7-15,
录用:2018-8-1,
网络首发:2018-08-31,
纸质出版:2019-02
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Citation: Sharifzadeh, E. Modeling of the mechanical properties of blend based polymer nanocomposites considering the effects of Janus nanoparticles on polymer/polymer Interface. Chinese J. Polym. Sci. 2019, 37, 164–177
Esmail Sharifzadeh. Modeling of the Mechanical Properties of Blend Based Polymer Nanocomposites Considering the Effects of Janus Nanoparticles on Polymer/Polymer Interface[J]. Chinese Journal of Polymer Science, 2019, 37(2): 164-177.
Citation: Sharifzadeh, E. Modeling of the mechanical properties of blend based polymer nanocomposites considering the effects of Janus nanoparticles on polymer/polymer Interface. Chinese J. Polym. Sci. 2019, 37, 164–177 DOI: 10.1007/s10118-019-2178-3.
Esmail Sharifzadeh. Modeling of the Mechanical Properties of Blend Based Polymer Nanocomposites Considering the Effects of Janus Nanoparticles on Polymer/Polymer Interface[J]. Chinese Journal of Polymer Science, 2019, 37(2): 164-177. DOI: 10.1007/s10118-019-2178-3.
Blend based polymer nanocomposites
comprising Janus nanoparticles at their polymer/polymer interface
were analytically/experimentally evaluated. The modeling procedure was performed in two stages: first
modeling of polymer/polymer interface region comprising Janus nanoparticles and second
modeling of the entire systems as a function of the variation of the blend morphology. In the first stage
the modeling procedure was performed based on the development of the model proposed by Ji
et al
. and in the second stage
the fundamental of Kolarik’s model was used in order to propose a developed and more practical model. It was shown that Janus nanoparticles may form dual polymer/particle interphase at polymer/polymer interface which can drastically affect the final mechanical properties of the system. Comparing the results of tensile tests imposed on different prepared samples with the predictions of the model proved its accuracy and reliability (error
<
9%).
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