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Path optimization for open-contoured structures in Robotic Fibre Placement

机译:机器人光纤放置中的开放式结构的路径优化

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Robotic Fibre Placement (RFP) is widely used in manufacturing composites and path planning is essential to produce high-quality composites during the process. However, there is a lack of evaluation of path accuracy before laying, thus it's hard to optimize path under theoretical guidance and the quality of composites cannot be theoretically guaranteed. To solve this problem, this article establishes a theoretical evaluation model of path based on its error and proposes a corresponding optimization method to improve the accuracy of path. By calculating the distance between the roller and the mould along the direction perpendicular to the path, a path error distribution model is acquired and its maximum, mean and variance are used to evaluate the path. Then, the orientation of the roller along path is optimized to minimizing the path error. Some simulation experiments are conducted and the optimization leads to a 63.4% and 69.0% reduction in the maximum and average path error respectively, which will improve the quality of composites.
机译:机器人纤维放置(RFP)广泛用于制造复合材料,路径规划对于在该过程期间生产高质量复合材料至关重要。然而,在铺设之前缺乏对路径精度的评估,因此很难在理论上的指导下优化路径,并且复合材料的质量不能理论上保证。为了解决这个问题,本文基于其错误建立了路径的理论评估模型,并提出了一种提高路径准确性的相应优化方法。通过沿着垂直于路径的方向计算辊子和模具之间的距离,获取路径误差分布模型,最大,均值和方差用于评估路径。然后,优化滚轮沿滚子的取向,以最小化路径误差。进行了一些模拟实验,并且分别优化导致最大和平均路径误差的63.4 %和69.0±0%,这将提高复合材料的质量。

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