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Use of fast-scanning thermal methods to address industrially relevant challenges

机译:使用快速扫描的热方法来应对工业相关的挑战

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The use of polymers for various applications can require fast cooling rates. Understanding the effect of cooling rate on material properties can guide research to make better materials for these applications. This talk will focus on two industrially relevant systems of interest to Dow. First, there has been recent interest in replacing bisphenol-A based can coatings with other polymers, and Dow has developed a polypropylene based technology. The can coating process requires fast cooling rates which sets limits on the crystallization rates needed to maintain a robust coating. Fast-scanning differential scanning calorimetry (DSC) techniques were able to show how the addition of nucleating agent ensures a coating of sufficient quality for this new coating technology. A second and more general problem is the relative crystallization rates of various types of polyethylene. Predicting the crystallization rate as a function of supercooling has relied on extrapolations of DSC data from a limited temperature range. Fast-scanning DSC techniques allow data over a broader range of supercoolings to be collected and crystallization rate over several orders of magnitude to be determined. The Hoffman-Lauritzen model used to predict crystallization at even deeper supercoolings can be refined with the fast-scanning data with the results being consistent with expectations based on the polyethylene structure.
机译:用于各种应用的聚合物的使用可能需要快速冷却速率。了解冷却速率对材料特性的影响,可以指导研究,为这些应用做出更好的材料。这次谈判将专注于两种工业相关的恐惧症系统。首先,近期较兴趣地用其他聚合物替代基于双酚-A的罐涂层,并且Dow开发了一种基于聚丙烯的技术。 CAN涂布过程需要快速冷却速率,该冷却速率设定保持稳健涂层所需的结晶率的限制。快速扫描差示扫描量热法(DSC)技术能够展示核酸剂的添加方式,可确保这种新涂层技术的充分质量涂层。第二种和更一般的问题是各种类型的聚乙烯的相对结晶速率。随着过冷的函数预测结晶速率依赖于来自有限温度范围的DSC数据的外推。快速扫描DSC技术允许在更广泛的超级冷却范围内收集和结晶速率在几个额外的数量级上进行数据。用于预测更深的超级冷却的霍夫曼 - 月桂座模型可以通过快速扫描数据来精制甚至更深的过冷却,结果与基于聚乙烯结构的期望一致。

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