2023
Budelmann, Dennis; Schmidt, Carsten; Meiners, Dieter; Steuernagel, Leif
In: Composites Part C, Ausg. 12, S. 100396, 2023, ISBN: 2666-6820.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Carbon Fibre, cohesion, Epoxy resin, interface, Prepreg
@article{nokey,
title = {Adhesion-cohesion balance of prepreg tack in thermoset automated fiber placement. Part 2: Ply-ply cohesion through contact formation and autohesion},
author = {Dennis Budelmann and Carsten Schmidt and Dieter Meiners and Leif Steuernagel},
editor = {Composites Parts C},
url = {https://doi.org/10.1016/j.jcomc.2023.100396},
isbn = {2666-6820},
year = {2023},
date = {2023-09-06},
journal = {Composites Part C},
issue = {12},
pages = {100396},
abstract = {Contact formation and autohesion with respect to their role as the major mechanisms governing the tack between thermoset prepregs in automated fiber placement were explored. Therefore, a novel 90° peel test with strictly separated and individually controllable compaction and debonding phases was employed for experimental tack characterization in a rheometer. Variation of compaction pressure, dwell time and temperature enabled the experimental isolation of contact formation and autohesion influences. The experimentally determined tack, ply-ply contact area and resin viscoelastic characteristics were used to parametrize simplified semi-empirical bond strength sub-models that have originally been developed for thermoplastic composite manufacturing techniques. The model prediction was validated successfully within the experimentally reproducible parameter range. Eventually, manufacturing scenarios for thermoset automated fiber placement (AFP) respecting different lay-up velocities (up to 1 m s−1), compaction pressures (up to 10 N mm−2) and both lay-up and mold temperatures (20–60 °C) were assessed in terms of estimated prepreg tack. The implication of both mechanisms, contact formation and autohesion, in the evolution of prepreg tackiness was found to be able to replicate the bell-shaped tack curves proposed by the adhesion-cohesion balance.},
keywords = {Automated Fiber Placement, Carbon Fibre, cohesion, Epoxy resin, interface, Prepreg},
pubstate = {published},
tppubtype = {article}
}
2022
Budelmann, Dennis; Schmidt, Carsten; Meiners, Dieter
In: Polymer Testing, Bd. 114, Ausg. Volume 114, 2022, 2022.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Prepreg, Tack
@article{nokey,
title = {Tack of epoxy resin films for aerospace-grade prepregs: Influence of resin formulation, B-staging and toughening},
author = {Dennis Budelmann and Carsten Schmidt and Dieter Meiners},
url = {https://www.sciencedirect.com/science/article/pii/S0142941822002318},
doi = {https://doi.org/10.1016/j.polymertesting.2022.107709},
year = {2022},
date = {2022-07-19},
urldate = {2022-07-19},
journal = {Polymer Testing},
volume = {114},
issue = {Volume 114, 2022},
abstract = {Aerospace-grade prepreg resin films based on multifunctional tetraglycidyl-4,4′-methylenedianiline (TGMDA), triglycidyl p-aminophenol (TGAP), Bisphenol A diglycidyl ether (DGEBA) and curing agent 4,4'diaminodiphenyl sulfone (DDS) are investigated in terms of tackiness by probe testing. The model epoxy systems are modified regarding the thermoplastic toughener content (polyethersulfone, PES) and the B-stage level, which is adjusted by cure prediction based on a model-free isoconversional method (Flynn-Wall-Ozawa). Additional DSC and rheological analysis are performed to study the thermal and viscoelastic material behavior in conjunction to its impact on temperature-dependent tack. Maximum achievable tack is found to decrease as a function of both degree of conversion and toughener content. Meanwhile, both influencing factors shift the tack maximum towards higher temperatures corresponding to increased flow characteristics attributed to evolving network formation and the incorporation of high molecular weight PES. In terms of absolute tack level and corresponding temperature, probe tack values similar to commercial prepreg systems (∼100 μJ mm−2) are recorded for TGMDA-based formulations containing 10 wt% PES at 20% pre-cure. Model formulations, which have neither been exposed to B-staging nor toughened, show exceptionally high tack below room temperature for all investigated epoxy prepolymers and are therefore not considered processable by automated fiber placement.},
keywords = {Automated Fiber Placement, Prepreg, Tack},
pubstate = {published},
tppubtype = {article}
}
2021
Denkena, Berend; Schmidt, Carsten; Timmermann, Marc; Friedel, Andreas
In: Production Engineering, 2021.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Process Monitoring
@article{Denkena2021c,
title = {An optical-flow-based monitoring method for measuring translational motion in infrared-thermographic images of AFP processes},
author = {Berend Denkena and Carsten Schmidt and Marc Timmermann and Andreas Friedel},
doi = {10.1007/s11740-021-01084-w},
year = {2021},
date = {2021-10-19},
journal = {Production Engineering},
abstract = {This paper presents a novel method for a precise localization of the automated-fiber-placement head, without the need for a data access to the machine control. It is based on a sub-pixel accurate optical-flow-algorithm which determines information about the heads movement by means of the material flow in sequences of IR images. Using local curvatures in the temperature field of the IR images, feature matrices are created which can locally be compared to the features of successive images. Thus, the translation between images become visible. This enables the possibility to perform an accurate (16.8μm) and self-sufficient process monitoring that additionally is capable of capturing the motion and position information of the AFP system and can be linked to existing algorithms for defect detection and classification.},
keywords = {Automated Fiber Placement, Process Monitoring},
pubstate = {published},
tppubtype = {article}
}
Budelmann, Dennis; Meiners, Dieter
Haftungseigenschaften duromerer Kohlenstofffaser-Prepregs im Automated Fiber Placement Vortrag
26.02.2021, (4. Symposium Materialtechnik, Clausthal-Zellerfeld).
BibTeX | Schlagwörter: Automated Fiber Placement, Tack
@misc{Budelmann2021,
title = {Haftungseigenschaften duromerer Kohlenstofffaser-Prepregs im Automated Fiber Placement},
author = {Dennis Budelmann and Dieter Meiners},
editor = {4. Symposium Materialtechnik, Clausthal-Zellerfeld},
year = {2021},
date = {2021-02-26},
note = {4. Symposium Materialtechnik, Clausthal-Zellerfeld},
keywords = {Automated Fiber Placement, Tack},
pubstate = {published},
tppubtype = {presentation}
}
Detampel, Hendrik; Schwinn, Max; Meiners, Dieter
Charakterisierung von Konsolidierungseigenschaften faserverstärkter Hochleistungsthermoplaste für Luftfahrt-Primärstrukturen Vortrag
26.02.2021, (4. Symposium Materialtechnik, Clausthal-Zellerfeld).
BibTeX | Schlagwörter: Automated Fiber Placement
@misc{Detampel2021,
title = {Charakterisierung von Konsolidierungseigenschaften faserverstärkter Hochleistungsthermoplaste für Luftfahrt-Primärstrukturen},
author = {Hendrik Detampel and Max Schwinn and Dieter Meiners},
editor = {4. Symposium Materialtechnik, Clausthal-Zellerfeld},
year = {2021},
date = {2021-02-26},
note = {4. Symposium Materialtechnik, Clausthal-Zellerfeld},
keywords = {Automated Fiber Placement},
pubstate = {published},
tppubtype = {presentation}
}
Fix, Johann; Meiners, Dieter
Zweidimensionales Prozessmodell des laserbasierten Automated Fiber Placement mit faserverstärkten Thermoplasten zur Bestimmung geeigneter Prozessparameter und resultierender Matrixeigenschaften Vortrag
26.02.2021, (4. Symposium Materialtechnik, Clausthal-Zellerfeld).
BibTeX | Schlagwörter: Automated Fiber Placement
@misc{Fix2021,
title = {Zweidimensionales Prozessmodell des laserbasierten Automated Fiber Placement mit faserverstärkten Thermoplasten zur Bestimmung geeigneter Prozessparameter und resultierender Matrixeigenschaften},
author = {Johann Fix and Dieter Meiners},
editor = {4. Symposium Materialtechnik, Clausthal-Zellerfeld},
year = {2021},
date = {2021-02-26},
note = {4. Symposium Materialtechnik, Clausthal-Zellerfeld},
keywords = {Automated Fiber Placement},
pubstate = {published},
tppubtype = {presentation}
}
2020
Budelmann, Dennis; Schmidt, Carsten; Meiners, Dieter
Prepreg tack: A review of mechanisms, measurement, and manufacturing implication Artikel
In: Polymer Composites, Bd. 2020, S. 1-19, 2020, ISSN: 1548-0569.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Tack
@article{Budelmann2020,
title = {Prepreg tack: A review of mechanisms, measurement, and manufacturing implication},
author = {Dennis Budelmann and Carsten Schmidt and Dieter Meiners},
doi = {10.1002/pc.25642},
issn = {1548-0569},
year = {2020},
date = {2020-05-23},
journal = {Polymer Composites},
volume = {2020},
pages = {1-19},
abstract = {The stickiness of prepregs (tack) is considered a decisive material property for the success of high-quality composite manufacturing by automated lay-up processes such as automated fiber placement (AFP) or automated tape laying (ATL). Adverse control of prepreg tack can easily result in laminate defects or machine breakdown, which are highly undesirable considering the tremendous machinery and material costs of these processes. Prepreg tack is governed by a complex interaction of adhesive and cohesive phenomena that are influenced by machine and environmental parameters of the production process
as well as by intrinsic properties of the prepreg material itself. This review aims at providing a condensed insight into the current state of research on prepreg tack. Therefore, experimental studies including the discussion of utilized tack measurement methods as well as model approaches to prepreg tack are reviewed. The findings are discussed against the background of fundamental mechanisms, the strong interdependency of influencing parameters and the challenge of translating measured tack data into an enhanced AFP/ATL process stability by process adjustment.},
keywords = {Automated Fiber Placement, Tack},
pubstate = {published},
tppubtype = {article}
}
as well as by intrinsic properties of the prepreg material itself. This review aims at providing a condensed insight into the current state of research on prepreg tack. Therefore, experimental studies including the discussion of utilized tack measurement methods as well as model approaches to prepreg tack are reviewed. The findings are discussed against the background of fundamental mechanisms, the strong interdependency of influencing parameters and the challenge of translating measured tack data into an enhanced AFP/ATL process stability by process adjustment.
2019
Schmidt, Carsten; Hocke, Tristan; Denkena, Berend
Artificial intelligence for non-destructive testing of CFRP prepreg materials Artikel
In: Production Engineering, S. 1-10, 2019.
Abstract | Links | BibTeX | Schlagwörter: Artificial Intelligence, Automated Fiber Placement, Composite Manufacturing, Composite Structures, Defects, Prepreg, Quality Assurance, Thermal Imaging
@article{Schmidt2019,
title = {Artificial intelligence for non-destructive testing of CFRP prepreg materials},
author = {Carsten Schmidt and Tristan Hocke and Berend Denkena},
url = {https://link.springer.com/article/10.1007%2Fs11740-019-00913-3},
doi = {https://doi.org/10.1007/s11740-019-00913-3},
year = {2019},
date = {2019-07-02},
journal = {Production Engineering},
pages = {1-10},
abstract = {This paper presents a concept of the quality assurance for CFRP prepreg materials and focusses on the classification of thermographic images using convolution neural networks (CNNs). The method for non-destructive testing of CFRP prepreg materials combines a laser-triangulation sensor and an infrared camera to monitor both, the geometry and the impregnation of the prepreg material. The aim is to ensure a high material quality excluding any defective material in an early stage of the process chain of the production of CFRP components. As a result, the reliability of Automated-Fiber-Placement processes utilizing this previously tested material increases. Therefore, an artificial intelligence is set up to classify the thermal images of the CFRP material. Two different architectures of CNN are trained and validated with data sets consisting of thermal images of several prepreg materials and different material defects, such as geometric deviations and varying fiber-matrix-ratios caused by an incorrect impregnation. The CNNs are able to differentiate prepreg materials and to detect and classify certain material-independent defects for known and trained prepreg materials.},
keywords = {Artificial Intelligence, Automated Fiber Placement, Composite Manufacturing, Composite Structures, Defects, Prepreg, Quality Assurance, Thermal Imaging},
pubstate = {published},
tppubtype = {article}
}
Schmidt, Carsten; Hocke, Tristan; Denkena, Berend
Deep learning-based classification of production defects in automated-fiber-placement processes Artikel
In: Production Engineering, Bd. 13, 3-4, S. 501-509, 2019.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Industry 4.0, Thermal Imaging
@article{Schmidt2019,
title = {Deep learning-based classification of production defects in automated-fiber-placement processes},
author = {Carsten Schmidt and Tristan Hocke and Berend Denkena},
url = {http://link.springer.com/article/10.1007/s11740-019-00893-4},
doi = {https://doi.org/10.1007/s11740-019-00893-4},
year = {2019},
date = {2019-03-15},
journal = {Production Engineering},
volume = {13, 3-4},
pages = {501-509},
abstract = {This paper presents a deep learning-based approach for the detection and classification of production defects that comple-
ments an existing thermographic online monitoring system for Automated-Fiber-Placement (AFP) processes. The detection
and classification procedure is performed in two stages. In the first stage, the system monitors each tow individually and
classifies its process status. Furthermore, it detects and classifies production defects that affect individual tows such as a
tow-twist. In the second stage, the system monitors the total width of the faultless tows. In this stage, production defects
effecting multiple tows, for example gaps or overlaps, are detected and classified. Twelve different deep convolution neural
networks (CNN) with three various architectures are learned supervised relating to different data sets. The performance of
both identification stages is explored separately before the entire system will be set up. Therefore, the thermal images of the
data sets are superimposed by noise to test the performance of the selected CNN.},
keywords = {Automated Fiber Placement, Industry 4.0, Thermal Imaging},
pubstate = {published},
tppubtype = {article}
}
ments an existing thermographic online monitoring system for Automated-Fiber-Placement (AFP) processes. The detection
and classification procedure is performed in two stages. In the first stage, the system monitors each tow individually and
classifies its process status. Furthermore, it detects and classifies production defects that affect individual tows such as a
tow-twist. In the second stage, the system monitors the total width of the faultless tows. In this stage, production defects
effecting multiple tows, for example gaps or overlaps, are detected and classified. Twelve different deep convolution neural
networks (CNN) with three various architectures are learned supervised relating to different data sets. The performance of
both identification stages is explored separately before the entire system will be set up. Therefore, the thermal images of the
data sets are superimposed by noise to test the performance of the selected CNN.
Hocke, Tristan
Künstliche Intelligenz in der Fertigungsüberwachung von CFK-Bauteilen im Flugzeugbau Vortrag
12.02.2019.
BibTeX | Schlagwörter: Artificial Intelligence, Automated Fiber Placement, Process Monitoring
@misc{Hocke2019,
title = {Künstliche Intelligenz in der Fertigungsüberwachung von CFK-Bauteilen im Flugzeugbau},
author = {Tristan Hocke},
editor = {Künstliche Intelligenz in der Automatisierungstechnik - Automatisierungsforum Westküste},
year = {2019},
date = {2019-02-12},
keywords = {Artificial Intelligence, Automated Fiber Placement, Process Monitoring},
pubstate = {published},
tppubtype = {presentation}
}
2018
Schmidt, Carsten; Weber, Patricc; Hocke, Tristan; Denkena, Berend
In: Procedia CIRP, Bd. 67, S. 422-427, 2018.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Material Aging, Prepreg
@article{Schmidt2018c,
title = {Influence of prepreg material quality on carbon fiber reinforced plastic laminates processed by automated fiber placement},
author = {Carsten Schmidt and Patricc Weber and Tristan Hocke and Berend Denkena},
doi = {https://doi.org/10.1016/j.procir.2017.12.236},
year = {2018},
date = {2018-10-15},
journal = {Procedia CIRP},
volume = {67},
pages = {422-427},
abstract = {In this paper, the influence of prepreg material quality to the mechanical properties of CFRP parts is presented. During the out life of prepreg slit tape, the processability changes by aging especially when storing the material at room temperature. Therefore, investigations are done with an in-house developed AFP machine and are monitored with a thermal monitoring system to determine the influence of material aging to mechanical properties and changes in the manufacturing process. The manufactured CFRP plates are finally tested by 3-point bending test.},
keywords = {Automated Fiber Placement, Material Aging, Prepreg},
pubstate = {published},
tppubtype = {article}
}
Völtzer, Klaas
Online-Prozessüberwachung von Automated Fiber Placement Prozessen auf Basis der Thermografie Buch
2018.
Abstract | BibTeX | Schlagwörter: Automated Fiber Placement, Process Monitoring
@book{Völtzer2018,
title = {Online-Prozessüberwachung von Automated Fiber Placement Prozessen auf Basis der Thermografie},
author = {Klaas Völtzer},
year = {2018},
date = {2018-06-08},
series = {Dissertation Leibniz Universität Hannover, Institut für Fertigungstechnik und Werkzeugmaschinen},
abstract = {Der steigende Einsatz von kohlenstofffaserverstärkten Kunststoffen (CFK), vor allem in der Luftfahrtindustrie, führt zu einer zunehmenden Bedeutung der CFK-Fertigungsverfahren, wie dem Automated Fiber Placement Prozess (AFP). Eine manuelle Überwachung dieses Prozesses ist aufgrund des geringen Kontrasts zwischen den einzelnen Laminatlagen erschwert und damit zeitintensiv und ineffizient. In dieser Arbeit wird eine neuartige Überwachungsmethode auf Basis der Thermografie vorgestellt und erforscht. Eine integrierte Infrarotkamera direkt hinter der Andruckeinheit des AFP-Legekopfes wertet dabei den Temperaturkontrast zwischen dem unmittelbar abgelegten Faser-Matrix-Halbzeug und dem Untergrund sowie die generelle Temperaturverteilung aus. Über eine Detektion der Halbzeugkanten können Positionierungsfehler identifiziert werden. Ebenso können über eine Auswertung der Oberflächentemperaturen Anbindungsfehler oder Fremdkörper anhand von Temperaturanomalien detektiert werden. Mit einem prototypischen Überwachungssystem werden die Systemgrenzen aufgezeigt und die Funktionsfähigkeit anhand eines Beispielprozesses demonstriert. },
keywords = {Automated Fiber Placement, Process Monitoring},
pubstate = {published},
tppubtype = {book}
}
Groß, Lukas; Herwig, Alexander; Berg, David C.; Schmidt, Carsten; Denkena, Berend; Horst, Peter; Meiners, Dieter
Production-based design of a hybrid load introduction element for thin-walled CFRP Structures Artikel
In: Production Engineering, S. 8, 2018, ISSN: 1863-7353.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Composite Structures, Embedded Load Introduction Element, Fiber-Metal Laminate, Multilayer Insert
@article{Groß2018,
title = {Production-based design of a hybrid load introduction element for thin-walled CFRP Structures},
author = {Lukas Groß and Alexander Herwig and David C. Berg and Carsten Schmidt and Berend Denkena and Peter Horst and Dieter Meiners},
url = {https://link.springer.com/article/10.1007/s11740-018-0821-4},
doi = {https://doi.org/10.1007/s11740-018-0821-4},
issn = {1863-7353},
year = {2018},
date = {2018-03-21},
journal = {Production Engineering},
pages = {8},
abstract = {The project “Multi-Layer Inserts” (MLI) proposes a new design for inserts used in thin-walled CFRP structures. The proposed inserts consist of multiple thin metal sheets and is build up simultaneously with the laminate in an intrinsic hybridization process, eliminating time-consuming post-processing steps. Furthermore, at equal weight, such inserts greatly increase the bonding area between metal and CFRP in comparison to conventional inserts. This results in a significant increase of the loads that can be transmitted into the CFRP. The present work discusses how the shape of the metal sheets which the proposed inserts consist of influences the mechanical properties of the surrounding laminate. This influence is investigated by measuring the strain distribution during tensile tests by means of digital image correlation. The strain distributions around the following three different MLI design approaches are compared: An elliptical metal sheet, which is expected to be ideal in terms of mechanical performance of the overall structure; a cross-shape metal sheet representing a production-driven simplification which only requires the ability to perform cuts in individual tows perpendicular to the laying direction and can be performed by state-of-the-art AFP systems; and lastly, a compromise between manufacturability and achieved mechanical performance, a decagonal metal sheet design, which requires angled cuts of the fiber tows. It is shown, that the decagon is able to evenly spread the strain over a larger area and is therefore able to significantly reduce the maximum strain values compared to a cross-shape metal sheet, while still being automatable.},
keywords = {Automated Fiber Placement, Composite Structures, Embedded Load Introduction Element, Fiber-Metal Laminate, Multilayer Insert},
pubstate = {published},
tppubtype = {article}
}
2017
Schmidt, Carsten; Weber, Patricc; Hocke, Tristan; Denkena, Berend
Influence of Prepreg Material Quality on Carbon Fiber Reinforced Plastic Laminates Processed by Automated Fiber Placement Konferenzbeitrag
In: 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering, (Hrsg.): Neapel, 2017.
Abstract | BibTeX | Schlagwörter: Automated Fiber Placement
@inproceedings{Schmidt2017b,
title = {Influence of Prepreg Material Quality on Carbon Fiber Reinforced Plastic Laminates Processed by Automated Fiber Placement},
author = {Carsten Schmidt and Patricc Weber and Tristan Hocke and Berend Denkena},
editor = {11th CIRP Conference on Intelligent Computation in Manufacturing Engineering},
year = {2017},
date = {2017-07-19},
address = {Neapel},
abstract = {In this paper, the influence of prepreg material quality to the mechanical properties of CFRP parts is presented. During the out life of prepreg slit tape, the processability changes by aging especially when storing the material at room temperature. Therefore, investigations are done with an in-house developed AFP machine and are monitored with a thermal monitoring system to determine the influence of material aging to mechanical properties and changes in the manufacturing process. The manufactured CFRP plates are finally tested by 3-point bending test.},
keywords = {Automated Fiber Placement},
pubstate = {published},
tppubtype = {inproceedings}
}
Schmidt, Carsten; Denkena, Berend; Hocke, Tristan; Völtzer, Klaas
1st CIRP Conference on Composite Materials Parts Manufacturing, 2017.
Links | BibTeX | Schlagwörter: Automated Fiber Placement, Process Monitoring, Quality Assurance, Thermal Imaging
@conference{Schmidt2017b,
title = {Influence of AFP process parameters on the temperature distribution used for thermal in-process monitoring},
author = {Carsten Schmidt and Berend Denkena and Tristan Hocke and Klaas Völtzer},
editor = {Procedia CIRP 66},
doi = {10.1016/j.procir.2017.03.220},
year = {2017},
date = {2017-06-07},
booktitle = {1st CIRP Conference on Composite Materials Parts Manufacturing},
pages = {68-73},
keywords = {Automated Fiber Placement, Process Monitoring, Quality Assurance, Thermal Imaging},
pubstate = {published},
tppubtype = {conference}
}
Brüning, Jan; Denkena, Berend; Dittrich, Marc-Andre; Hocke, Tristan
Machine Learning Approach for Optimization of Automated Fiber Placement Processes Konferenz
2017.
Links | BibTeX | Schlagwörter: Automated Fiber Placement, Industry 4.0, Process Monitoring
@conference{Brüning2017b,
title = {Machine Learning Approach for Optimization of Automated Fiber Placement Processes},
author = {Jan Brüning and Berend Denkena and Marc-Andre Dittrich and Tristan Hocke},
editor = {Procedia CIRP 66},
doi = {10.1016/j.procir.2017.03.295},
year = {2017},
date = {2017-06-07},
pages = {74-78},
keywords = {Automated Fiber Placement, Industry 4.0, Process Monitoring},
pubstate = {published},
tppubtype = {conference}
}
Schmidt, Carsten; Denkena, Berend; Hocke, Tristan; Völtzer, Klaas
Thermal imaging as a solution for reliable monitoring of AFP processes Konferenz
3rd ACM Automated Composites Manufacturing, Montreal, Canada, 2017.
BibTeX | Schlagwörter: Automated Fiber Placement, Industry 4.0, Manufacturing Quality, Process Monitoring, Thermal Imaging
@conference{Schmidt2017,
title = {Thermal imaging as a solution for reliable monitoring of AFP processes},
author = {Carsten Schmidt and Berend Denkena and Tristan Hocke and Klaas Völtzer},
year = {2017},
date = {2017-04-20},
booktitle = {3rd ACM Automated Composites Manufacturing},
address = {Montreal, Canada},
keywords = {Automated Fiber Placement, Industry 4.0, Manufacturing Quality, Process Monitoring, Thermal Imaging},
pubstate = {published},
tppubtype = {conference}
}
2016
Denkena, Berend; Schmidt, Carsten; Weber, Patricc
Automated Fiber Placement Head for Manufacturing of Innovative Aerospace Stiffening Structures Artikel
In: Procedia Manufacturing, Bd. 6, S. 96-104, 2016.
Abstract | Links | BibTeX | Schlagwörter: Automated Fiber Placement, Light Weight Construction, Manufacturing Quality, Prepreg
@article{Denkena2016b,
title = {Automated Fiber Placement Head for Manufacturing of Innovative Aerospace Stiffening Structures},
author = {Berend Denkena and Carsten Schmidt and Patricc Weber},
url = {http://www.sciencedirect.com/science/article/pii/S2351978916301494},
doi = {http://dx.doi.org/10.1016/j.promfg.2016.11.013},
year = {2016},
date = {2016-11-21},
journal = {Procedia Manufacturing},
volume = {6},
pages = {96-104},
abstract = {In the research project “High-performance Production of CFRP Structures” (HP CFK) a new automated fiber placement (AFP) system for laying thermoset CFRP (carbon fiber-reinforced plastic) slit tapes was developed. Its novel, modular designed laying head faces current industrial needs and challenges of prospective carbon light weight applications, e. g. future aerospace stiffening structures. Thus, its compaction unit is optimized for producing complex-curved structures. To allow approximating slopes on curved geometries, it consists of several height-adjustable rollers which, in addition, are each pressure controlled to enable an individual compacting pressure for the lay-up on materials with different compression strength (e. g. foams, metals). Furthermore, the design of the laying heads cutting unit aided the manufacturing of complex structures while being located as near as possible to the nip point to allow very short minimum placement paths. This paper introduces into the general design of the modular laying head as well as preliminary results of validation studies regarding several process limits.},
keywords = {Automated Fiber Placement, Light Weight Construction, Manufacturing Quality, Prepreg},
pubstate = {published},
tppubtype = {article}
}
Schmidt, Carsten; Völtzer, Klaas; Hocke, Tristan; Brüning, Jan
Bahnplanung für Automated-Fiber-Placement-Prozesse Artikel
In: Lightweight Design, Bd. 4, 2016.
BibTeX | Schlagwörter: Automated Fiber Placement, Path Planning, Process Monitoring, Thermal Imaging
@article{Schmidt2016b,
title = {Bahnplanung für Automated-Fiber-Placement-Prozesse},
author = {Carsten Schmidt and Klaas Völtzer and Tristan Hocke and Jan Brüning},
year = {2016},
date = {2016-09-15},
journal = {Lightweight Design},
volume = {4},
keywords = {Automated Fiber Placement, Path Planning, Process Monitoring, Thermal Imaging},
pubstate = {published},
tppubtype = {article}
}
Denkena, Berend; Schmidt, Carsten; Völtzer, Klaas; Hocke, Tristan
POTENTIAL OF THERMAL INLINE MONITORING IN AUTOMATED FIBER PLACEMENT PROCESS FOR AEROSPACE APLICATIONS Konferenz
7th International Symposium on Composites Manufacturing for High Performance Applications - ISCM, Braunschweig, 2016.
BibTeX | Schlagwörter: Automated Fiber Placement, Process Monitoring, Thermal Imaging
@conference{Denkena2016b,
title = { POTENTIAL OF THERMAL INLINE MONITORING IN AUTOMATED FIBER PLACEMENT PROCESS FOR AEROSPACE APLICATIONS},
author = {Berend Denkena and Carsten Schmidt and Klaas Völtzer and Tristan Hocke},
year = {2016},
date = {2016-08-25},
booktitle = {7th International Symposium on Composites Manufacturing for High Performance Applications - ISCM},
address = {Braunschweig},
keywords = {Automated Fiber Placement, Process Monitoring, Thermal Imaging},
pubstate = {published},
tppubtype = {conference}
}