Generation of feasible gripper trajectories in automated composite draping by means of optimization

IF 1.8 Q3 ENGINEERING, MANUFACTURING Advanced Manufacturing: Polymer & Composites Science Pub Date : 2019-10-02 DOI:10.1080/20550340.2019.1699691
C. Krogh, J. Sherwood, J. Jakobsen
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引用次数: 7

Abstract

Abstract Prepreg composites find great applicability in e.g. the automotive and aerospace industries. A major challenge with this class of material systems is the accurate placement of a fabric that can be very tacky and hence sticks to the mold surface. In this study, automatic draping of entire plies of woven prepregs is considered. A robot end effector with a grid of actuated grippers is under development and it has the ability to position the plies onto double-curved mold surfaces of low curvature. The key issue is how the grippers of the end effector should move to achieve successful drapings of the plies that meet the quality requirements of the industry. In this study, an approximate ply model based on cables with bending stiffness is applied in an optimization framework where the gripper movements constitute the design variables. The optimization framework has taken inspiration from manual layup procedures. The numerical draping results indicate the usefulness of the cable model used in connection with the optimization framework. The next step is to implement the generated gripper trajectories on the physical robot system. Graphical abstract
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基于优化的自动复合悬垂中可行夹持轨迹的生成
摘要预浸料复合材料在汽车和航空航天工业中有着广泛的应用。这类材料系统的一个主要挑战是织物的准确放置,因为织物很粘,因此粘在模具表面。本研究考虑整层预浸料的自动悬垂。一种机器人末端执行器正在开发中,它具有在低曲率的双曲线模具表面上定位层的能力。关键问题是末端执行器的夹持器应该如何移动,以实现满足行业质量要求的层的成功下垂。在本研究中,基于具有弯曲刚度的索的近似铺层模型应用于优化框架中,其中夹持器运动构成设计变量。优化框架的灵感来自于手动叠加过程。数值模拟结果表明,索模型与优化框架相结合是有效的。下一步是在物理机器人系统上实现生成的夹持器轨迹。图形抽象
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
11
审稿时长
16 weeks
期刊最新文献
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