Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping

Christian Krogh; Johnny Jakobsen; James A. Sherwood

doi:10.1007/978-3-319-97773-7_96

Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping

Christian Krogh, Johnny Jakobsen, James A. Sherwood

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

An automated prepreg fabric draping system is being developed which consists of an array of actuated grippers. It has the ability to pick up a fabric ply and place it onto a double-curved mold surface. A previous research effort based on a nonlinear Finite Element model showed that the movements of the grippers should be chosen carefully to avoid misplacement and induce of wrinkles in the draped configuration. Thus, the present study seeks to develop a computationally efficient model of the mechanical behavior of a fabric based on 2D catenaries which can be used for optimization of the gripper trajectories. The model includes bending stiffness, large deflections, large ply shear and a simple contact
formulation. The model is found to be quick to evaluate and gives very reasonable predictions of the displacement field.

Originalsprog	Engelsk
Titel	EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization
Antal sider	12
Udgivelsessted	Schweiz
Forlag	Springer
Publikationsdato	13 sep. 2018
Sider	1107-1118
ISBN (Trykt)	978-3-319-97772-0
ISBN (Elektronisk)	978-3-319-97773-7
DOI	https://doi.org/10.1007/978-3-319-97773-7_96
Status	Udgivet - 13 sep. 2018
Begivenhed	EngOpt2018: 6th International Conference on Engineering Optimization - Instituto Superior Técnico, Lissabon, Portugal Varighed: 17 sep. 2018 → 19 sep. 2018 http://engopt2018.tecnico.ulisboa.pt/

Konference

Konference	EngOpt2018
Lokation	Instituto Superior Técnico
Land/Område	Portugal
By	Lissabon
Periode	17/09/2018 → 19/09/2018
Internetadresse	http://engopt2018.tecnico.ulisboa.pt/

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10.1007/978-3-319-97773-7_96

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Citationsformater

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title = "Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping",

abstract = "An automated prepreg fabric draping system is being developed which consists of an array of actuated grippers. It has the ability to pick up a fabric ply and place it onto a double-curved mold surface. A previous research effort based on a nonlinear Finite Element model showed that the movements of the grippers should be chosen carefully to avoid misplacement and induce of wrinkles in the draped configuration. Thus, the present study seeks to develop a computationally efficient model of the mechanical behavior of a fabric based on 2D catenaries which can be used for optimization of the gripper trajectories. The model includes bending stiffness, large deflections, large ply shear and a simple contactformulation. The model is found to be quick to evaluate and gives very reasonable predictions of the displacement field.",

keywords = "Composites, Carbin fiber prepreg, Draping, Trajectory optimization",

author = "Christian Krogh and Johnny Jakobsen and Sherwood, {James A.}",

year = "2018",

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doi = "10.1007/978-3-319-97773-7_96",

language = "English",

isbn = "978-3-319-97772-0",

pages = "1107--1118",

booktitle = "EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization",

publisher = "Springer",

address = "Germany",

note = "EngOpt2018 ; Conference date: 17-09-2018 Through 19-09-2018",

url = "http://engopt2018.tecnico.ulisboa.pt/",

}

Krogh, C, Jakobsen, J & Sherwood, JA 2018, Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping. i EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. Springer, Schweiz, s. 1107-1118, EngOpt2018, Lissabon, Portugal, 17/09/2018. https://doi.org/10.1007/978-3-319-97773-7_96

Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping. / Krogh, Christian; Jakobsen, Johnny; Sherwood, James A.
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. Schweiz: Springer, 2018. s. 1107-1118.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping

AU - Krogh, Christian

AU - Jakobsen, Johnny

AU - Sherwood, James A.

PY - 2018/9/13

Y1 - 2018/9/13

N2 - An automated prepreg fabric draping system is being developed which consists of an array of actuated grippers. It has the ability to pick up a fabric ply and place it onto a double-curved mold surface. A previous research effort based on a nonlinear Finite Element model showed that the movements of the grippers should be chosen carefully to avoid misplacement and induce of wrinkles in the draped configuration. Thus, the present study seeks to develop a computationally efficient model of the mechanical behavior of a fabric based on 2D catenaries which can be used for optimization of the gripper trajectories. The model includes bending stiffness, large deflections, large ply shear and a simple contactformulation. The model is found to be quick to evaluate and gives very reasonable predictions of the displacement field.

AB - An automated prepreg fabric draping system is being developed which consists of an array of actuated grippers. It has the ability to pick up a fabric ply and place it onto a double-curved mold surface. A previous research effort based on a nonlinear Finite Element model showed that the movements of the grippers should be chosen carefully to avoid misplacement and induce of wrinkles in the draped configuration. Thus, the present study seeks to develop a computationally efficient model of the mechanical behavior of a fabric based on 2D catenaries which can be used for optimization of the gripper trajectories. The model includes bending stiffness, large deflections, large ply shear and a simple contactformulation. The model is found to be quick to evaluate and gives very reasonable predictions of the displacement field.

KW - Composites

KW - Carbin fiber prepreg

KW - Draping

KW - Trajectory optimization

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BT - EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

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Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping

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