论文标题
Hale多学科的生态设计优化，并选择材料
Hale multidisciplinary ecodesign optimization with material selection
论文作者
论文摘要
多学科设计优化（MDO）使得与独立优化每个学科相比，达到更好的解决方案。特别是，根据所使用的材料，无人机的最佳结构不会相同。在这里优化了太阳能高空长耐力（Hale）无人机的CO2足迹，结构材料是设计变量之一。使用修改版OpenAeroStruct（基于OpenMDAO的框架）进行了优化。这项工作的独创性是在MDO方法中包括离散目录中的物质选择。这是通过连续变量实现的，从而实现了连续优化算法的使用。我们的结果表明，就我们而言，就二氧化碳足迹而言，最佳材料也是重量方面的最佳材料。为了制造绿色替代材料以实现较低的无人机二氧化碳足迹，它在体重方面必须一样好。
Multidisciplinary Design Optimization (MDO) makes it possible to reach a better solution than by optimizing each discipline independently. In particular, the optimal structure of a drone won't be the same depending on the material used. The CO2 footprint of a solar-powered High Altitude Long Endurance (HALE) drone is optimized here, the structural materials being one of the design variables. The optimization is preformed using a modified version of OpenAeroStruct, a framework based on OpenMDAO. The originality of this work is to include material choice from a discrete catalogue in the MDO approach. This is achieved through a continuous variable, enabling the use of continuous optimization algorithms. Our results show that, in our case, the optimal material in terms of CO2 footprint is also the optimal material in terms of weight. In order for a green surrogate material to enable a lower drone CO2 footprint, it must be almost as good in terms of weight.
