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PROCESS MAPPING FOR DEFECT CONTROL IN THE ADHESIVE BOND-LINE OF CO-CURED HONEYCOMB CORE SANDWICH STRUCTURES

机译:用于共固化蜂窝芯夹层结构的粘合粘合线中缺陷控制的过程映射

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Co-cure of honeycomb core sandwich structures offers reduced processing time compared to co-bonding but is limited by unreliable production of defect-free parts. Predictive models for void formation can guide processing decisions to minimize defects, but such models have typically been developed for monolithic prepreg processing and are not immediately applicable to honeycomb geometries and co-cure processes. Additionally, void growth modeling has often focused on water as the volatile species, while previous studies have identified residual solvent in some prepregs can be a significant source of porosity in the bond-line. This paper presents a strategy to adapt existing models to predict void growth in honeycomb core sandwich structures to screen processing conditions. Volatile behavior is characterized for an adhesive and prepreg used in aerospace applications and used in the void growth model for representative cure cycles. Model predictions are compared to viscosity profiles to identify favorable processing conditions, with longer dwell times at intermediate temperatures shown to be most effective at mitigating void growth. In situ visualization of the bond-line during co-cure provides validation of model predictions. Results demonstrate the utility of predictive models to guide processing decisions for co-cure.
机译:与共粘合相比,蜂窝芯夹层结构的共同固化提供了减少的加工时间,但受不可靠性的无缺陷部件产生的限制。空隙形成的预测模型可以指导处理决策以最大限度地减少缺陷,但是这种模型通常是为单片预浸料加工而开发的,并且不适用于蜂窝几何形状和共同固化过程。另外,空隙生长建模通常集中在水中作为挥发物种,而先前的研究已经鉴定在一些预浸料坯中的残留溶剂可以是键合线中的重要孔隙源。本文介绍了适应现有模型以预测蜂窝核心夹层结构中的空隙生长的策略,以筛选加工条件。挥发性行为的特征在于航空航天应用中使用的粘合剂和预浸料,并用于代表性固化循环的空隙生长模型。将模型预测与粘度曲线进行比较,以识别有利的加工条件,中间温度的较长的停留时间显示在减轻空隙生长时最有效。在共同固化期间,键合线的原位可视化提供了模型预测的验证。结果展示了预测模型的效用,以指导合作治疗的处理决策。

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