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首页> 外文期刊>e-Polymers >Effect of various formulation ingredients on thermal characteristics of PVC/clay nanocomposite foams: experimental and modeling
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Effect of various formulation ingredients on thermal characteristics of PVC/clay nanocomposite foams: experimental and modeling

机译：各种配方成分对PVC /粘土纳米复合泡沫材料热特性的影响：实验和建模

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摘要

The effect of various ingredients – nanoclay (NC), azodicarbonamaide (ADCA), paraloeid K-400 and calcium stearate (Ca.St) – on thermal behavior of melt blended poly (vinyl chloride)/NC nanocomposites was investigated. Combinations of two artificial intelligence algorithms were performed for modeling of the systems. The formulation ingredients affect the thermal features of the compounds. Upon increasing the effect of various ingredients, i.e. NC, ADCA, K-400 and Ca.St, an increase in ash content was observed, hence, the thermal stability increased. The effect of ingredients on initial degradation temperature (T5%) and half degradation temperature (T50%) was not obvious. The artificial neural network (model) and the clonal selection algorithm (optimizer) were performed for proper modeling of the systems. These models were used to determine the role of T5%, T50% and char based on the contents of ingredients. The result successfully modeled the process parameters.
机译：研究了各种成分-纳米粘土（NC），偶氮二碳酰胺（ADCA），副枝状K-400和硬脂酸钙（Ca.St）-对熔融共混聚氯乙烯/ NC纳米复合材料的热性能的影响。两种人工智能算法的组合用于系统建模。制剂成分影响化合物的热特性。在增加各种成分，即NC，ADCA，K-400和Ca.St的作用后，观察到灰分增加，因此热稳定性增加。成分对初始降解温度（T5％）和半降解温度（T50％）的影响不明显。进行了人工神经网络（模型）和克隆选择算法（优化器）以对系统进行适当的建模。这些模型用于根据成分含量确定T5％，T50％和炭的作用。结果成功地对过程参数建模。

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