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首页> 外文期刊>Journal of Applied Polymer Science >Cure simulations of thick adhesive bondlines for wind energy applications
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Cure simulations of thick adhesive bondlines for wind energy applications

机译：用于风能应用的厚粘合剂键的固化模拟

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Curing of adhesive bondlines is a critical and time-consuming operation in wind turbine blade manufacturing. Significant variation in adhesive thickness can lead to important differences in thermal histories trough the adhesive bonds due to the exothermic nature of the cure process. Reducing bondline cure cycle time and avoiding adhesive overheating are two competing factors in the design of cure temperature cycles. Predictive models on the impact of adhesive thickness variability in bondline cure temperature cycle is currently limited. Adhesive curing and temperature evolution can be simulated by finite element (FE) models coupling the heat transfer problem with the cure kinetics of the adhesive. The cure kinetics of the adhesive system was characterized by isothermal differential scanning calorimetry experiments and implemented in the FE software Abaqus/CAE by user subroutines. Predictions from the FE model were validated experimentally against temperature readings from the curing of 10, 20, and 30 mm thick adhesive bondlines. To highlight the role that predictive models potentially have in the optimization of bondline cure cycles a 2D cross section model representing the trailing edge of a wind turbine blade was used as case study. It was demonstrated that computational models enable customizing cure profiles for nonuniform adhesive thicknesses, ensuring fully cured bondlines with acceptable mechanical properties.
机译：在风力涡轮机叶片制造中，粘合剂粘合线的固化是一项关键且耗时的操作。由于固化过程的放热性质，粘合剂厚度的显著变化可能会导致通过粘合剂的热历史发生重大差异。在固化温度周期的设计中，减少粘合线固化周期时间和避免粘合剂过热是两个相互竞争的因素。目前，关于粘合线固化温度循环中粘合剂厚度变化影响的预测模型有限。将传热问题与胶粘剂的固化动力学耦合起来的有限元模型可以模拟胶粘剂的固化和温度变化。通过等温差示扫描量热法实验表征了胶粘剂体系的固化动力学，并通过用户子程序在有限元软件Abaqus/CAE中实现。根据10、20和30 mm厚粘合线固化的温度读数，对FE模型的预测进行了实验验证。为了强调预测模型在粘结线固化循环优化中的潜在作用，使用了代表风力涡轮机叶片后缘的2D横截面模型作为案例研究。结果表明，计算模型能够定制不均匀粘合剂厚度的固化轮廓，确保完全固化的粘合线具有可接受的机械性能。

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