Cyber-Physical Systems for Epoxy Resin Insulators: Development and Study

V. Kasinikota, Wolfgang Muehleisen, Markus Grinschgl, Alexander Steiner, Margit Christa Lang
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Abstract

The current work is performed during a research project to implement an enhanced Cyber-Physical Systems for producing electrical insulators based on thermosets. As these materials undergo a highly exothermic curing reaction during production, appropriate production control is crucial to prevent issues, such as air pockets, suboptimal surface finish, cracks, or part deformation due to non-uniform curing and residual stresses. Therefore, extensive material characterization is combined with suitable material modeling to achieve exact virtual predictions of the curing process. Differential Scanning Calorimetry (DSC) under non-isothermal (dynamic) conditions is employed to characterize the curing behavior, providing crucial insights into thermal properties and phase transitions. The reaction kinetics are modeled using model-based methods, i.e., Prout-Tompkins, and model-free kinetic models, i.e. Flynn-Wall-Ozawa and Kissinger-Akahira-Sunose. Thus, the activation energy, pre-exponential factor, and other kinetic parameters required for analysis are determined. The curing progress of the epoxy material under isothermal conditions is predicted and validated with reaction data obtained from the isothermal DSC measurements.
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环氧树脂绝缘子的网络-物理系统:开发与研究
目前的工作是在一个研究项目中进行的,该项目旨在为生产基于热固性塑料的电气绝缘体实施增强型网络-物理系统。由于这些材料在生产过程中会发生高放热固化反应,因此适当的生产控制对于防止出现气穴、表面光洁度不佳、裂纹或由于不均匀固化和残余应力导致的部件变形等问题至关重要。因此,广泛的材料表征与适当的材料建模相结合,可实现对固化过程的精确虚拟预测。采用非等温(动态)条件下的差示扫描量热法(DSC)来表征固化行为,为了解热特性和相变提供重要依据。采用基于模型的方法(即普鲁特-汤普金斯模型)和无模型动力学模型(即弗林-沃尔-奥泽模型和基辛格-赤平-苏诺塞模型)对反应动力学进行建模。从而确定了分析所需的活化能、前指数因子和其他动力学参数。预测了等温条件下环氧树脂材料的固化过程,并通过等温 DSC 测量获得的反应数据进行了验证。
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