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Simple Test for Detecting Influence of Sample Aging on its Thermal Behavior. Peculiarities of Different Kinetic Models

机译:检测样品老化对其热行为影响的简单测试。不同动力学模型的特殊性

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The paper presents the results of the simulations of the influence of the reaction progress of the material at the moment of the beginning of the thermal experiment (called as α_(storage)) on the thermal behavior in mg- (as in DSC), kg- (SADT or cookoff), and ton- (TMR_(ad)) scales. Before introducing into simulations the different reaction models we have critically considered the limitations of the autocatalytic models applied in the literature. Simulations were carried out using autocatalytic Prout-Tompkins (PT), nucleation (Avrami-Erofeev, A4) and first-order (F1) reaction models. Results of simulation show that influence of α_(storage) is significant for materials decomposing according to PT model and negligible for those decomposing according to the first-order kinetics. For the determination of the importance of α_(storage) value on the course of reaction and, further, on the simulations of the thermal behavior of the materials we propose the simple AKTS test which requires only two non-isothermal runs with identical, arbitrarily chosen heating rates. The goal of this test consists in controlled, artificial aging of the sample, reflecting the minor changes of reaction progress during sample storage. In other words, the test allows comparison of the thermal behavior of the same sample having however, in two following experiments, slightly different α_(storage) values. Additionally we present the simulations of the dependence of thermal properties of the materials on the α_(storage) under real, climate conditions. All presented results indicate, that the decomposition progress of the materials at the beginning of any thermal treatment must be considered as an important parameter, beside commonly applied kinetic triplet, during prediction of the sample properties.
机译:本文在热实验开始时(称为α_(贮藏)的开始时,对Mg-(如DSC中的α_(储存))的时刻,介绍了材料的反应进展的影响的结果 - (SADT或COURTOFF),和TON-(TMR_(AD))秤。在介绍仿真之前,我们批判性地认为在文献中施用的自催化模型的局限性。使用自催化PROUT-TOMPKINS(PT),成核(AVRAMI-EROFEEV,A4)和一阶(F1)反应模型进行模拟。仿真结果表明,根据PT模型分解α_(储存)的影响很大,但根据一阶动力学分解的材料忽略不计。为了确定α_(储存)值对反应过程的重要性,并且进一步地,在材料的热行为的模拟上,我们提出了仅需要两个非等温运行的简单休眠试验,其具有相同的,任意选择的加热率。该测试的目的在于,样品的受控人工老化,反映样品储存过程中反应进展的微小变化。换句话说,测试允许比较同一样本的热行为,但是在两个实验中,略微不同的α_(存储)值。此外,我们介绍了实际气候条件下α_(储存)对α_(储存)上的热性质的依赖性的模拟。所有呈现的结果表明,在预测样品特性期间,必须将任何热处理开始在任何热处理开始时的材料的分解进程被认为是常用动力学三重态的重要参数。

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