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The #tau#-effective paradox revisited: an extended analysis of Kovacs' volume recovery data on poly(vinyl acetate)

机译:再次探讨“ tau#”有效的悖论:对科瓦奇关于聚醋酸乙烯酯的体积回收率数据的扩展分析

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摘要

In 1964 Kovacs (Kovacs, AJ, Transition vitreuse dans les polymeres amorphes. Etude phenomenologique. Fortschr Hochpolym-Forsch 1964;3:394-507) published a paper in which he analyzed structural (volume) recovery data in asymmetry of approach experiments. Kovacs use a parameter referred to as #tau#-effective (#tau#_(eff)) which is defined in terms of the volume departure from equilibrium #delta# as #tau#_(eff)~(-1) = - 1/#delta# d#delta#/dt. In plots of the log(1/#tau#_(eff)) vs. #delta# Kovacs observed an apparent paradox in that the values of #tau#_(eff) did not converge to the same point as #delta# approached zero (i.e. equilibrium). Hence the equilibrium mobility of the structural recovery seemed path dependent. Also, the apparent paradox was accompanied by a spreading of the curves for #tau#_(eff) in the up-jump experiments which has come to be known as the expansion gap. While it is currently accepted that the paradox itself does not exist because the curves will converge if the measurements are made closer to #delta# = 0 (Kovacs' estimates of #tau#_(eff) were made for values as small as #delta# approx= 1.6 * 10~(-4)), the existence of the expansion gap is still a subject of dispute. This is particularly releveant today because recent models of structural recovery have claimed 'success' specifically because the expansion gap was predicted. Here we take the data Kovacs published in 1964, unpublished data from his notebooks taken at the same time, as well as more recent data obtained at the Institut Charles Sadron under his tutelage in the late 1960s and early 1980s. We then examine them using several different statistical analyses to test the following hypothesis: the value of #tau#_(eff) as |#delta#| -> 1.6 * 10~(-4) for a temperature jump from T_i to T_0 is significantly different from the value obtained for the temperature jump from T_j to T_0. The temperatures T_i or T_j can be either greater or less than T_0. If the hypothesis is rejected, the #tau#_(eff)-paradox and expansion gap need to be rethought. If the hypothesis is accepted, then the argument that reproduction of the expansion gap is an important test of structural recovery models is strengthened. Our analysis leads to the conclusion that the extensive set of data obtained at 40 deg C support the existence of an expansion gap, hence an apparently paradoxical value of #tau#_(eff), for values of |#delta#| >= 1.6 * 10~(-4). However, at smaller values of |#delta#| it appears that the values of #tau#_(eff) are no longer statistically different and, in fact, the data suggest that as |#delta#| -> 0 all of the #tau#_(eff) values converge. In addition, data for experiments at 35 deg C do not have sufficient accuracy to support the expansion gap for such small values of |#delta#| because the duration of the experiments is significantly longer than those at 40 deg C. Consequently the data readings taken at 35 deg C were made at longer time intervals and this leads to dramatically reduced error correlations.
机译:1964年,科瓦奇(Kovacs,AJ,过渡态玻璃态聚合物晶体。Etude现象学。Fortschr Hochpolym-Forsch 1964; 3:394-507)发表了一篇论文,在其中他以接近实验的不对称性分析了结构(体积)恢复数据。 Kovacs使用称为#tau#-effective(#tau #_(eff))的参数,该参数根据与平衡#delta#的体积偏离定义为#tau #_(eff)〜(-1)=- 1 /#delta#d#delta#/ dt。在log(1 /#tau #_(eff))与#delta#的关系图中,Kovacs观察到一个明显的悖论,因为#tau #_(eff)的值不会收敛到接近#delta#的点零(即平衡)。因此,结构恢复的平衡迁移率似乎与路径有关。同样,在上跳实验中,明显的悖论伴随着#tau #_(eff)曲线的扩展,这被称为膨胀间隙。虽然目前公认不存在悖论,因为如果测量值更接近#delta#= 0(Kovacs对#tau #_(eff)的估计是针对小到#delta的值,则曲线会收敛,因此曲线本身会收敛) #约= 1.6 * 10〜(-4)),膨胀间隙的存在仍然是一个争议的话题。今天,这尤其令人不安,因为最近的结构恢复模型已声称“成功”,特别是因为预测了扩张缺口。这里我们采用的是1964年科瓦奇(Kovacs)发布的数据,同时从他的笔记本上获得的未发布数据,以及1960年代末和1980年代初在其指导下查尔斯·萨德隆研究所获得的最新数据。然后,我们使用几种不同的统计分析来检验它们,以检验以下假设:#tau #_(eff)的值为|#delta#| ->从T_i到T_0的温度跃变的1.6 * 10〜(-4)与从T_j到T_0的温度跃变获得的值明显不同。温度T_i或T_j可以大于或小于T_0。如果假设被拒绝,则需要重新考虑#tau #_(eff)-悖论和扩展差距。如果假说被接受,那么关于扩张间隙的再现是结构恢复模型的重要检验的论点得到了加强。我们的分析得出的结论是,在40摄氏度下获得的大量数据支持存在膨胀间隙,因此对于|#delta#|的值,显然是#tau #_(eff)的自相矛盾的值。 > = 1.6 * 10〜(-4)。但是|| delta#|的值较小时看来#tau #_(eff)的值不再在统计上有所不同,实际上,数据表明|#delta#| -> 0,所有#tau #_(eff)值收敛。另外,在35摄氏度的实验数据没有足够的精度来支持|| delta#|这样小的值的扩展间隙。因为实验的持续时间明显长于40摄氏度时的持续时间。因此,在35摄氏度下获取的数据读数以更长的时间间隔进行,这导致误差相关性大大降低。

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