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首页> 外文期刊>Journal of Applied Polymer Science >Evaluation of injection-molding simulation tools to model the cure kinetics of rubbers
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Evaluation of injection-molding simulation tools to model the cure kinetics of rubbers

机译：评估用于模拟橡胶硫化动力学的注塑模拟工具

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Rubber injection molding is a process whereby a rubber mix is injected into a closed mold where the material is shaped to the desired geometry. Having completely filled the cavity rubber mix is vulcanized. Vulcanization is the process whereby a viscous and tacky uncured rubber is converted into an elastic material through the incorporation of chemical crosslinks between the polymer chains. The degree of cure achieved depends on the formulation recipe and the time-temperature history endured by the material during the curing process while in the mold. The aim of this study was to check the capability of commercial injection-molding simulation tools, such as Moldflow and Cadmould, to predict the degree of cure achieved in spiral-shaped parts when subjected to various cure cycles. To use the simulation tools, it was necessary to characterize the material in terms of their thermal properties and kinetic behavior during curing. The degrees of cure were determined with swelling techniques and by the measurement of the residual cure exotherms with differential scanning calorimetry. On comparing the experimental values of the degree of cure with those predicted by the simulation tools, we found that the initial simulations underestimated the degrees of cure. Consequently, the criteria used to calculate the cure model parameters were modified to invoke faster cures. In so doing, good agreement was achieved between the degrees of cure predicted by the simulations and those obtained experimentally.
机译：橡胶注射成型是一种将橡胶混合物注入密闭模具中的过程，在该模具中，材料被成型为所需的几何形状。完全填充型腔后，将橡胶混合物硫化。硫化是通过在聚合物链之间引入化学交联键将粘性和粘性未固化橡胶转变为弹性材料的过程。达到的固化程度取决于配方和配方，以及材料在模具中的固化过程中材料所承受的时间-温度历史记录。这项研究的目的是检验商用注塑成型仿真工具（例如Moldflow和Cadmould）的能力，以预测在经受各种固化周期后，螺旋形零件所达到的固化程度。要使用仿真工具，必须根据材料的热性能和固化过程中的动力学行为对其进行表征。用溶胀技术和通过差示扫描量热法测量残留的固化放热来确定固化程度。通过将固化度的实验值与模拟工具预测的值进行比较，我们发现初始模拟低估了固化度。因此，修改了用于计算固化模型参数的标准，以调用更快的固化方法。这样，在模拟预测的固化程度和实验获得的固化程度之间达成了良好的一致性。

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