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On a blending law for two‐component blends of narrow‐distribution polystyrene components

机译:窄分布聚苯乙烯组分双组分共混的共混规律

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AbstractA model, which has previously been described for relating rheological behavior in highly polydisperse polymers to molecular structure, is shown to lead to a unique blending law. Unlike previously published polynomial blending laws in the open literature, no adjustable parameters or shift factors are necessary. The blending law suggested by the model is of the formdocumentclass{article}pagestyle{empty}begin{document}$$ begin{array}{*{20}c} {Hleft( tau right) = W_1 {W_1 left( {H_1 } right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a - 1} right)}}} + W_2 left( {{{H_2 } mathord{left/ {vphantom {{H_2 } phi }} right. kern-nulldelimiterspace} phi }} right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a - 1} right)}}} } ^{left( {a - 1} right)} } { + W_2 {W_2 left( {H_2 } right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a - 1} right)}}} + W_1 left( {H_1 phi } right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a - 1} right)}}} } ^{left( {a - 1} right)} } end{array} $$end{document}where ϕ is defined by the molecular weights of the components and the relaxation time, τ. Good agreement between predictions of this blending law and experimental results from the literature are demonstrated. This good agreement between the experimental results for blends of narrow molecular weight distribution samples and the predictions of blending law gives further credence to the previously reported relationships to describe the effects of polydis‐persity on the rheological behavior. However, because of the complexity of the blending law in terms of the relaxation spectra, it is concluded that the description in terms of molecular weight is simpler and perhaps more fundamen
机译:摘要之前已经描述过将高多分散聚合物的流变行为与分子结构联系起来的模型,该模型被证明可以产生独特的混合定律。与先前在公开文献中发表的多项式混合定律不同,不需要可调节的参数或位移因子。该模型建议的混合定律是 formdocumentclass{article}pagestyle{empty}begin{document}$$ begin{array}{*{20}c} {Hleft( tau right) = W_1 [ {W_1 left( {H_1 } right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a - 1} right)}}} + W_2 left( {{{H_2 } mathord{left/ {vphantom {{H_2 } phi }} right. kern-nulldelimiterspace} phi }} right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a- 1} 右)}}} } ]^{左( {a - 1} 右)} { + W_2 [ {W_2 left( {H_2 } right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} 右。 kern-nulldelimiterspace} {left( {a - 1} right)}}} + W_1 left( {H_1 phi } right)^{{1 mathord{left/ {vphantom {1 {left( {a - 1} right)}}} right. kern-nulldelimiterspace} {left( {a - 1} right)}}} } ]^{left( {a - 1} right)} } } end{array} $$end{document}其中φ由组分的分子量和弛豫时间定义, 该混合定律的预测与文献中的实验结果具有较好的一致性。窄分子量分布样品混合的实验结果与混合规律的预测之间的这种良好一致性进一步证实了先前报道的关系,以描述多分散性对流变行为的影响。然而,由于弛豫光谱的混合定律的复杂性,得出的结论是,分子量方面的描述更简单,也许更基础

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