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PARAMETERS INFLUENCING CORRECT PREDICTION OF AUTOCATALYTIC REACTIONS COURSE

机译:影响自催化反应课程正确预测的参数

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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 a_(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 (Fl) reaction models. Results of simulation show that influence of a_(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 a_(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 a_(storage) values. Additionally we present the simulations of the dependence of thermal properties of the materials on the a_(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A_(储存))的瞬间在MG-(如DSC中),kg的热行为时,本文提出了对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(FL)反应模型进行模拟。仿真结果表明,根据PT模型分解的材料,A_(储存)的影响很大,但根据一阶动力学分解这些材料。对于A_(存储)值的重要性上反应的过程和,进一步,在我们提出简单AKTS测试的材料的热行为,其只需要两个非等温具有相同的运行仿真中,任意选择确定加热率。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,但是在两个后面的实验中,略有不同的A_(存储)值。此外,我们介绍了实际气候条件下A_(储存)上的材料的热性质的依赖性模拟。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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