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Opto-Thermal Response Optimization in Laser Processing of Composites

机译：复合材料激光加工中的光热响应优化

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摘要

We present the application of a high fidelity, coupled optical and thermal simulation framework to optimizing automated fiber placement (AFP) and laser assisted cure (LAC) processes for continuous fiber reinforced composites. The optimization objectives are speed and efficiency, which manifest as time and thermal gradient respectively. The factors considered (laser irradiance, fiber volume fraction, fiber thermal conductivity, matrix extinction coefficient, and fiber index of refraction) allow for composite optimization for a particular process or for process optimization for a particular composite. These factors and material properties are chosen to represent both carbon fiber composites and glass fiber composites in epoxy matrices. We find that irradiance, fiber volume fraction, and matrix extinction coefficient have a greater effect on the thermal response compared to fiber index of refraction and fiber thermal conductivity. We apply the non-dominated sorting genetic algorithm 2 (NSGA-II) to this problem and identify optimal trade-offs between speed and efficiency. General conclusions are identified for each process, such as high irradiance is best for the AFP process, and trade space exploration in the LAC process requires power modulation using different mechanisms depending on the type of composite.
机译：我们介绍了高保真度，耦合的光学和热模拟框架的应用，以优化用于连续纤维增强复合材料的自动纤维铺放（AFP）和激光辅助固化（LAC）工艺。优化目标是速度和效率，分别表示为时间和热梯度。考虑的因素（激光辐照度，纤维体积分数，纤维热导率，基体消光系数和纤维折射率）允许对特定工艺进行复合优化，或对特定复合材料进行工艺优化。选择这些因素和材料特性以代表环氧基质中的碳纤维复合材料和玻璃纤维复合材料。我们发现，辐照度，纤维体积分数和基质消光系数与纤维折射率和纤维导热系数相比，对热响应的影响更大。我们将非支配排序遗传算法2（NSGA-II）应用于此问题，并确定速度和效率之间的最佳权衡。确定了每个过程的一般结论，例如高辐照度最适合AFP过程，而LAC过程中的贸易空间探索需要根据复合材料的类型使用不同的机制进行功率调制。

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