Generation of feasible gripper trajectories in automated composite draping by means of optimization
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 wo...
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Taylor & Francis Group
2019
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oai:doaj.org-article:28db44eb25c0432bb0bca6b935d1052b2021-12-02T09:31:45ZGeneration of feasible gripper trajectories in automated composite draping by means of optimization2055-035910.1080/20550340.2019.1699691https://doaj.org/article/28db44eb25c0432bb0bca6b935d1052b2019-10-01T00:00:00Zhttp://dx.doi.org/10.1080/20550340.2019.1699691https://doaj.org/toc/2055-0359Prepreg 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.Christian KroghJames A. SherwoodJohnny JakobsenTaylor & Francis Grouparticlewoven prepregdrapingtrajectory optimizationoffline motion planningautomationPolymers and polymer manufactureTP1080-1185AutomationT59.5ENAdvanced Manufacturing: Polymer & Composites Science, Vol 5, Iss 4, Pp 234-249 (2019) |
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woven prepreg draping trajectory optimization offline motion planning automation Polymers and polymer manufacture TP1080-1185 Automation T59.5 |
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woven prepreg draping trajectory optimization offline motion planning automation Polymers and polymer manufacture TP1080-1185 Automation T59.5 Christian Krogh James A. Sherwood Johnny Jakobsen Generation of feasible gripper trajectories in automated composite draping by means of optimization |
description |
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. |
format |
article |
author |
Christian Krogh James A. Sherwood Johnny Jakobsen |
author_facet |
Christian Krogh James A. Sherwood Johnny Jakobsen |
author_sort |
Christian Krogh |
title |
Generation of feasible gripper trajectories in automated composite draping by means of optimization |
title_short |
Generation of feasible gripper trajectories in automated composite draping by means of optimization |
title_full |
Generation of feasible gripper trajectories in automated composite draping by means of optimization |
title_fullStr |
Generation of feasible gripper trajectories in automated composite draping by means of optimization |
title_full_unstemmed |
Generation of feasible gripper trajectories in automated composite draping by means of optimization |
title_sort |
generation of feasible gripper trajectories in automated composite draping by means of optimization |
publisher |
Taylor & Francis Group |
publishDate |
2019 |
url |
https://doaj.org/article/28db44eb25c0432bb0bca6b935d1052b |
work_keys_str_mv |
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_version_ |
1718398055488684032 |