收稿日期:
2023-07-12
修回日期:
2023-07-27
接受日期:
2023-09-20
出版日期:
2024-05-25
发布日期:
2023-10-08
通讯作者:
杨迪
E-mail:yangdi0518@hotmail.com
Qian YANG, Yanzhe WANG, Di YANG(), Zezhong LI, Weiwei QU
Received:
2023-07-12
Revised:
2023-07-27
Accepted:
2023-09-20
Online:
2024-05-25
Published:
2023-10-08
Contact:
Di YANG
E-mail:yangdi0518@hotmail.com
摘要:
复合材料自动铺放(AFP)过程中,铺放速度的突变极易引起丝束翻折、褶皱、滑移等缺陷,从而降低铺放质量和铺放效率。基于铺放速度的预测结果进行优化调整,是提高铺放速度稳定性、保障铺放质量的重要途径。为此,提出一种基于数据驱动的铺丝机速度预测及规划方法。首先,基于随机森林方法,建立了以铺丝机运动轴为子树的铺放速度预测模型,提出以关节标称速度、加速度、关节轨迹夹角为输入特征,以关节实际速度为输出特征的随机森林模型特征参数定义方法;进一步,基于铺放速度预测结果分析,提出了指令速度的分段匀速规划方法;最后,给出了参考指令速度的制造周期预估方法。采用六自由度卧式机床的进气道铺放实验对上述方法进行验证。结果表明,该方法对同训练角度铺层铺放速度的预测准确度达到91%,随着学习数据增加,各角度铺层路径的速度预测精度均有提升。采用基于铺放速度预测结果的指令速度分段规划方法,可显著降低速度突变,有效提升铺放质量。在计算成本方面,通过与神经网络方法相比,证明了随机森林方法具备高效的铺放速度预测水平。
中图分类号:
杨倩, 王彦哲, 杨迪, 李泽众, 曲巍崴. 基于数据驱动的纤维增强复合材料自动铺放速度预测与规划[J]. 航空学报, 2024, 45(10): 429313-429313.
Qian YANG, Yanzhe WANG, Di YANG, Zezhong LI, Weiwei QU. Prediction and planning of automatic laying speed for fiber reinforced composite materials based on data⁃driven model[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(10): 429313-429313.
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