2021
Denkena, Berend; Schmidt, Carsten; Werner, Simon; Schwittay, Dietmar
In: Journal of Composites Science, Bd. 5(4), S. 93, 2021.
Abstract | Links | BibTeX | Schlagwörter: Continuous Wet Draping, Draping Simulation
@article{Denkena2021b,
title = {Development of a Shape Replicating Draping Unit for Continuous Layup of Unidirectional Non-Crimp Fabrics on Complex Surface Geometries},
author = {Berend Denkena and Carsten Schmidt and Simon Werner and Dietmar Schwittay},
doi = {https://doi.org/10.3390/jcs5040093},
year = {2021},
date = {2021-04-01},
journal = {Journal of Composites Science},
volume = {5(4)},
pages = {93},
abstract = {The manufacturing of large-scale structural components is still dominated by manual labor in many sectors of the modern composite industry. Efforts are being made to establish an automated layup technology for complex structural elements. Processing dry non-crimp fiber fabrics (NCF) offers great cost opportunities and high deposition rates, compared to prepreg-based technologies like automated fiber placement (AFP). Here, the fabric architecture is considered during the draping of the plane textile on curved surfaces. In this paper, the development of a draping unit for balancing fabric tension and consolidating continuously across the layup width is presented. We introduce a geometrical process model to achieve a fabric-friendly draping of the used unidirectional NCF. The shape of the resulting draping front depends on the surface geometry, the shearing of the previously laid-up textile, and the positioning of the material feed. To consolidate the fabric at the altering draping front in an automated layup process, the shape of the continuous consolidation element can be controlled by the elongation of serial soft actuators, manipulated by parallel robot kinematics. The shape replication ability of the draping unit is promising for the implementation of a continuous, fabric-friendly draping process for complex surface geometries.},
keywords = {Continuous Wet Draping, Draping Simulation},
pubstate = {published},
tppubtype = {article}
}
2019
Schmidt, Carsten; Fix, Johann; Timmermann, Marc; Werner, Simon
Flexible Produktion individualisierter CFK-Strukturen Artikel
In: lightweight.design, Bd. 12, Nr. 6, S. 58-63, 2019, ISSN: 2192-8738.
Abstract | BibTeX | Schlagwörter: Continuous Wet Draping, Draping Simulation, Light Weight Construction
@article{Schmidt2019c,
title = {Flexible Produktion individualisierter CFK-Strukturen},
author = {Carsten Schmidt and Johann Fix and Marc Timmermann and Simon Werner},
issn = {2192-8738},
year = {2019},
date = {2019-12-19},
journal = {lightweight.design},
volume = {12},
number = {6},
pages = {58-63},
abstract = {Das Forschungsprojekt FlexProCFK adressiert die anlagen- und materialtechnischen Herausforderungen, die bei der Herstellung komplexer CFK-Strukturen entstehen. Aus der Vision, bionische Strukturen im Flugzeugbau zu etablieren, ist eine Legetechnologie entstanden, die die bisherige Bandbreite automatisiert herstellbarer Bauteile signifikant erweitert.},
keywords = {Continuous Wet Draping, Draping Simulation, Light Weight Construction},
pubstate = {published},
tppubtype = {article}
}
2015
Biel, Andreas
Simulative Bauteil- und Prozessoptimierung im Composite Bereich Konferenzbeitrag
In: 1. Niedersächsisches Symposium Materialtechnik, Clausthal-Zellerfeld, 2015.
BibTeX | Schlagwörter: Composite Structures, Draping Simulation
@inproceedings{Biel2015,
title = {Simulative Bauteil- und Prozessoptimierung im Composite Bereich},
author = {Andreas Biel},
year = {2015},
date = {2015-02-13},
booktitle = {1. Niedersächsisches Symposium Materialtechnik},
address = {Clausthal-Zellerfeld},
keywords = {Composite Structures, Draping Simulation},
pubstate = {published},
tppubtype = {inproceedings}
}
2013
Biel, Andreas; Ziegmann, Gerhard; Meiners, Dieter; Deniz, Onur; Horst, Peter
Optimization of the Structure and the Infusion Process of a CFRP Fuselage Stiffener, according to the Fiber Reorientation by the Draping Process Konferenzbeitrag
In: SETEC, 2013.
Abstract | BibTeX | Schlagwörter: Composite Structures, Draping Simulation, Fuselage, Infusion Process
@inproceedings{Biel2013,
title = {Optimization of the Structure and the Infusion Process of a CFRP Fuselage Stiffener, according to the Fiber Reorientation by the Draping Process},
author = {Andreas Biel and Gerhard Ziegmann and Dieter Meiners and Onur Deniz and Peter Horst},
year = {2013},
date = {2013-09-11},
booktitle = {SETEC},
abstract = {Design optimization plays a vital role in Aerospace Industry due to its challenging requirements that are not only based on mechanical aspects but also in manufacturing processes. Besides, manufacturing processes cause imperfections and variations on the structure which could be estimated by advanced simulations that result in expensive computation processes. On the other hand, it has been an issue to obtain global optima of the objective function of structures such as CFRP stiffened fuselage panels whose mechanical system responses are generally evaluated by Finite Element calculations.
This paper proposes a global optimization process on an innovative CFRP fuselage panel which simultaneously covers stability criterion and draping simulation of fiber textiles that is considered as a manufacturing effect. Genetic algorithms were chosen as an optimization technique to reach global optima. A parametric FEM model generator was developed under periodic boundary conditions in order to obtain buckling modes and corresponding failure criterions during the parameter variation. The shear angles of the fibers arising due to the draping process were considered as production constraint and represented with the surrogate model by RBF-ANN in the optimization loop. Different infusion strategies are simulated in a final step to find the optimal resin infusion process for the obtained fuselage stiffener.
This method presents an optimization frame that covers the production failures of draping process and its influence on structural design. Furthermore this optimization process can be modified with other undetermined production constraints that are predicted by simulation.},
keywords = {Composite Structures, Draping Simulation, Fuselage, Infusion Process},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper proposes a global optimization process on an innovative CFRP fuselage panel which simultaneously covers stability criterion and draping simulation of fiber textiles that is considered as a manufacturing effect. Genetic algorithms were chosen as an optimization technique to reach global optima. A parametric FEM model generator was developed under periodic boundary conditions in order to obtain buckling modes and corresponding failure criterions during the parameter variation. The shear angles of the fibers arising due to the draping process were considered as production constraint and represented with the surrogate model by RBF-ANN in the optimization loop. Different infusion strategies are simulated in a final step to find the optimal resin infusion process for the obtained fuselage stiffener.
This method presents an optimization frame that covers the production failures of draping process and its influence on structural design. Furthermore this optimization process can be modified with other undetermined production constraints that are predicted by simulation.
Deniz, Onur; Biel, Andreas; Horst, Peter; Ziegmann, Gerhard; Schmidt, Carsten
Simulation Based Design Optimization of a Cfrp Fuselage Panel According to Draping Process of Carbon Fibre Textiles Using Evolutionary Algorithms and Response Surface Methods Konferenzbeitrag
In: Sampe, 2013.
Abstract | BibTeX | Schlagwörter: Composite Structures, Design Optimization, Draping Simulation, Fuselage
@inproceedings{Deniz2013,
title = {Simulation Based Design Optimization of a Cfrp Fuselage Panel According to Draping Process of Carbon Fibre Textiles Using Evolutionary Algorithms and Response Surface Methods},
author = {Onur Deniz and Andreas Biel and Peter Horst and Gerhard Ziegmann and Carsten Schmidt},
year = {2013},
date = {2013-05-03},
booktitle = {Sampe},
journal = {Sampe},
abstract = {Design optimization plays a vital role in Aerospace Industry due to its challenging requirements that are not only based on mechanical aspects but also in manufacturing processes. Besides, manufacturing processes cause imperfections and variations on the structure which could be estimated by advanced simulations that result in expensive computations. On the other hand, it has been an issue to obtain global optima of the objective function of structures such as CFRP stiffened fuselage panels whose mechanical system responses are generally evaluated by Finite Element calculations.
This paper proposes a global optimization process on an innovative CFRP fuselage panel which simultaneously covers stability criterion and draping simulation of fiber textiles that is considered as a manufacturing effect. Genetic algorithms were chosen as an optimization technique to reach global optima. During the optimization process, a modified Response Surface Method that is based on artificial neural networks (RBF-ANN) [1] is carried out in order to reduce the computational effort and to couple the simulation inputs and outputs in the optimization frame.
A parametric FEM model generator was developed under periodic boundary conditions in order to obtain buckling modes and corresponding failure criterions during the parameter variation. The shear angles of the fibers arising due to draping process were considered as production constraint and represented with the surrogate model by RBF-ANN in the optimization loop.
This method presents an optimization frame that covers the production failures of draping process and its influence on structural design. Furthermore this optimization process can be modified with other undetermined production constraints that are predicted by simulation.
REFERENCES
[1] K.Lindhorst, M. C. Haupt, P. Horst, “ Usage of time domain surrogate model approaches for transient, nonlinear aerodynamics within aero-structural coupling schemes” presented in"30th AIAA Applied Aerodynamics Conference", 25-28th June 2012, New Orleans, USA
},
keywords = {Composite Structures, Design Optimization, Draping Simulation, Fuselage},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper proposes a global optimization process on an innovative CFRP fuselage panel which simultaneously covers stability criterion and draping simulation of fiber textiles that is considered as a manufacturing effect. Genetic algorithms were chosen as an optimization technique to reach global optima. During the optimization process, a modified Response Surface Method that is based on artificial neural networks (RBF-ANN) [1] is carried out in order to reduce the computational effort and to couple the simulation inputs and outputs in the optimization frame.
A parametric FEM model generator was developed under periodic boundary conditions in order to obtain buckling modes and corresponding failure criterions during the parameter variation. The shear angles of the fibers arising due to draping process were considered as production constraint and represented with the surrogate model by RBF-ANN in the optimization loop.
This method presents an optimization frame that covers the production failures of draping process and its influence on structural design. Furthermore this optimization process can be modified with other undetermined production constraints that are predicted by simulation.
REFERENCES
[1] K.Lindhorst, M. C. Haupt, P. Horst, “ Usage of time domain surrogate model approaches for transient, nonlinear aerodynamics within aero-structural coupling schemes” presented in"30th AIAA Applied Aerodynamics Conference", 25-28th June 2012, New Orleans, USA