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Numerical optimization of soft-mold aided co-curing process of advanced grid-stiffened composite structures

机译:先进格栅加筋复合结构软模辅助共固化过程的数值优化

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摘要

The co-curing process for advanced grid-stiffened (AGS) composite structure is a promising manufacturing process, which could reduce the manufacturing cost, augment the advantages and improve the performance of AGS composite structure. An improved method named soft-mold aided co-curing process which replaces the expansion molds by a whole rubber mold is adopted in this paper. This co-curing process is capable to co-cure a typical AGS composite structure with the manufacturer’s recommended cure cycle (MRCC). Numerical models are developed to evaluate the variation of temperature and the degree of cure in AGS composite structure during the soft-mold aided co-curing process. The simulation results were validated by experimental results obtained from embedded temperature sensors. Based on the validated modeling framework, the cycle of cure can be optimized by reducing more than half the time of MRCC while obtaining a reliable degree of cure. The shape and size effects of AGS composite structure on the distribution of temperature and degree of cure are also investigated to provide insights for the optimization of soft-mold aided co-curing process.
机译:先进的格栅加筋(AGS)复合结构的共固化工艺是一种很有前途的制造工艺,可以降低制造成本,增强优势并改善AGS复合结构的性能。本文采用一种改进的方法,称为软模辅助共固化工艺,该方法用整个橡胶模具代替膨胀模具。这种共固化工艺能够按照制造商推荐的固化周期(MRCC)共固化典型的AGS复合结构。建立了数值模型以评估在软模辅助共固化过程中AGS复合结构中温度的变化和固化程度。仿真结果通过嵌入式温度传感器的实验结果得到验证。在经过验证的建模框架的基础上,可以通过减少MRCC时间的一半以上,同时获得可靠的固化程度来优化固化周期。还研究了AGS复合结构的形状和尺寸对温度分布和固化程度的影响,为优化软模辅助共固化工艺提供了见识。

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