---
_id: '57180'
author:
- first_name: Cederic
full_name: Lenz, Cederic
last_name: Lenz
- first_name: Maximilian
full_name: Bause, Maximilian
id: '52175'
last_name: Bause
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Lenz C, Bause M, Henke C, Trächtler A. Boosting Low Data PINN Robustness with
Transfer Learning*. In: 2024 International Conference on Advanced Robotics
and Mechatronics (ICARM). IEEE; 2024. doi:10.1109/icarm62033.2024.10715896'
apa: Lenz, C., Bause, M., Henke, C., & Trächtler, A. (2024). Boosting Low Data
PINN Robustness with Transfer Learning*. 2024 International Conference on Advanced
Robotics and Mechatronics (ICARM). https://doi.org/10.1109/icarm62033.2024.10715896
bibtex: '@inproceedings{Lenz_Bause_Henke_Trächtler_2024, title={Boosting Low Data
PINN Robustness with Transfer Learning*}, DOI={10.1109/icarm62033.2024.10715896},
booktitle={2024 International Conference on Advanced Robotics and Mechatronics
(ICARM)}, publisher={IEEE}, author={Lenz, Cederic and Bause, Maximilian and Henke,
Christian and Trächtler, Ansgar}, year={2024} }'
chicago: Lenz, Cederic, Maximilian Bause, Christian Henke, and Ansgar Trächtler.
“Boosting Low Data PINN Robustness with Transfer Learning*.” In 2024 International
Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. https://doi.org/10.1109/icarm62033.2024.10715896.
ieee: 'C. Lenz, M. Bause, C. Henke, and A. Trächtler, “Boosting Low Data PINN Robustness
with Transfer Learning*,” 2024, doi: 10.1109/icarm62033.2024.10715896.'
mla: Lenz, Cederic, et al. “Boosting Low Data PINN Robustness with Transfer Learning*.”
2024 International Conference on Advanced Robotics and Mechatronics (ICARM),
IEEE, 2024, doi:10.1109/icarm62033.2024.10715896.
short: 'C. Lenz, M. Bause, C. Henke, A. Trächtler, in: 2024 International Conference
on Advanced Robotics and Mechatronics (ICARM), IEEE, 2024.'
date_created: 2024-11-18T10:14:14Z
date_updated: 2024-11-18T10:41:11Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/icarm62033.2024.10715896
language:
- iso: eng
publication: 2024 International Conference on Advanced Robotics and Mechatronics (ICARM)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Boosting Low Data PINN Robustness with Transfer Learning*
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57181'
author:
- first_name: Cederic
full_name: Lenz, Cederic
last_name: Lenz
- first_name: Maximilian
full_name: Bause, Maximilian
id: '52175'
last_name: Bause
- first_name: Fabian
full_name: Reiling, Fabian
last_name: Reiling
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Lenz C, Bause M, Reiling F, Henke C, Trächtler A. Contextual Anomaly Detection
in Hot Forming Production Line using PINN Architecture. In: 2024 IEEE International
Conference on Advanced Intelligent Mechatronics (AIM). IEEE; 2024. doi:10.1109/aim55361.2024.10637234'
apa: Lenz, C., Bause, M., Reiling, F., Henke, C., & Trächtler, A. (2024). Contextual
Anomaly Detection in Hot Forming Production Line using PINN Architecture. 2024
IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
https://doi.org/10.1109/aim55361.2024.10637234
bibtex: '@inproceedings{Lenz_Bause_Reiling_Henke_Trächtler_2024, title={Contextual
Anomaly Detection in Hot Forming Production Line using PINN Architecture}, DOI={10.1109/aim55361.2024.10637234},
booktitle={2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)}, publisher={IEEE}, author={Lenz, Cederic and Bause, Maximilian and Reiling,
Fabian and Henke, Christian and Trächtler, Ansgar}, year={2024} }'
chicago: Lenz, Cederic, Maximilian Bause, Fabian Reiling, Christian Henke, and Ansgar
Trächtler. “Contextual Anomaly Detection in Hot Forming Production Line Using
PINN Architecture.” In 2024 IEEE International Conference on Advanced Intelligent
Mechatronics (AIM). IEEE, 2024. https://doi.org/10.1109/aim55361.2024.10637234.
ieee: 'C. Lenz, M. Bause, F. Reiling, C. Henke, and A. Trächtler, “Contextual Anomaly
Detection in Hot Forming Production Line using PINN Architecture,” 2024, doi:
10.1109/aim55361.2024.10637234.'
mla: Lenz, Cederic, et al. “Contextual Anomaly Detection in Hot Forming Production
Line Using PINN Architecture.” 2024 IEEE International Conference on Advanced
Intelligent Mechatronics (AIM), IEEE, 2024, doi:10.1109/aim55361.2024.10637234.
short: 'C. Lenz, M. Bause, F. Reiling, C. Henke, A. Trächtler, in: 2024 IEEE International
Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 2024.'
date_created: 2024-11-18T10:14:46Z
date_updated: 2024-11-18T10:47:15Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/aim55361.2024.10637234
language:
- iso: eng
publication: 2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Contextual Anomaly Detection in Hot Forming Production Line using PINN Architecture
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '58450'
abstract:
- lang: eng
text: Die vorliegende Arbeit befasst sich mit der modellprädiktiven Planung zeitoptimierter
Trajektorien für mehrachsige kinematisch redundante Mechanismen. Es werden zunächst
grundlegende Begriffe erläutert, bevor der Stand der Wissenschaft und Technik
hinsichtlich der Trajektorienplanung von kinematisch redundanten und nicht-redundanten
Mechanismen sowie der Ausführung von Optimierungen auf Industriesteuerungen vorgestellt
wird. Im Anschluss wird die modellprädiktive Planung erläutert. Diese nutzt die
Mehrdeutigkeit bei der Ermittlung der Gelenkpositionen kinematisch redundanter
Mechanismen, um die Verfahrzeit zwischen Sollpositionen im Rahmen von Punkt-zu-Punkt-Bewegungen
zu minimieren. Anhand eines kinematisch redundanten hybridkinematischen Mechanismus
erfolgt zunächst eine simulative Validierung des Ansatzes. Bezogen auf die immer
flexibler werdenden Fertigungen im Kontext Losgröße-1 sind jedoch echtzeitfähige
selbstoptimierende Steuerungen erforderlich, die sich zur Laufzeit auf wechselnde
Aufgaben einstellen und mit weiteren Systemen interagieren. Aus diesem Grund liegt
der Fokus auf der echtzeitfähigen Ausführung des Ansatzes auf einer Industriesteuerung,
ein entscheidender Punkt, um die erforderliche Flexibilität und industrielle Einsetzbarkeit
zu erreichen und gleichzeitig ein signifikanter Unterschied zum Stand der Technik.
Hierzu erfolgt die Umsetzung auf das reale System und der Nachweis der echtzeitfähigen
Ausführung mit Optimierungszeiten kleiner einer Millisekunde.
- lang: eng
text: This thesis deals with the model-predictive planning of time-optimized trajectories
for kinematically redundant multi-axes mechanisms. First, basic terms are explained
before the current state-of-science and technology with regard to path planning
for kinematically redundant and non-redundant mechanisms as well as the execution
of optimizations on industrial controllers is presented. Next, the model-predictive
planning is explained. Hereby, the ambiguity when calculating the joint positions
of a kinematically redundant mechanism is used to minimize the movement time between
set points with regard to point-to-point movements. Using a kinematically redundant
hybrid mechanism, the approach is first validated with simulations. With regard
to the increasing demands of more flexible manufacturing in context of batch size-1,
real-time capable self-optimizing controls are necessary. Such controls adjust
themselves to changing tasks during runtime and interact with other systems. Therefore,
the focus is on the real-time execution of the approach on industrial controllers.
This is a crucial point to achieve the required flexibility and industrial applicability,
as well as to differ significantly from the state-of-the-art. For this purpose,
the approach is implemented on the real system and the ability of a real-time
execution with optimization times less than one millisecond is proven.
author:
- first_name: Arne Thorsten
full_name: Rüting, Arne Thorsten
last_name: Rüting
citation:
ama: Rüting AT. Echtzeitfähige Modellprädiktive Planung Zeitoptimierter Trajektorien
Für Kinematisch Redundante Mechanismen Auf Industrieller Hardware.; 2024.
doi:10.17619/UNIPB/1-2112
apa: Rüting, A. T. (2024). Echtzeitfähige modellprädiktive Planung zeitoptimierter
Trajektorien für kinematisch redundante Mechanismen auf industrieller Hardware.
https://doi.org/10.17619/UNIPB/1-2112
bibtex: '@book{Rüting_2024, title={Echtzeitfähige modellprädiktive Planung zeitoptimierter
Trajektorien für kinematisch redundante Mechanismen auf industrieller Hardware},
DOI={10.17619/UNIPB/1-2112},
author={Rüting, Arne Thorsten}, year={2024} }'
chicago: Rüting, Arne Thorsten. Echtzeitfähige Modellprädiktive Planung Zeitoptimierter
Trajektorien Für Kinematisch Redundante Mechanismen Auf Industrieller Hardware,
2024. https://doi.org/10.17619/UNIPB/1-2112.
ieee: A. T. Rüting, Echtzeitfähige modellprädiktive Planung zeitoptimierter Trajektorien
für kinematisch redundante Mechanismen auf industrieller Hardware. 2024.
mla: Rüting, Arne Thorsten. Echtzeitfähige Modellprädiktive Planung Zeitoptimierter
Trajektorien Für Kinematisch Redundante Mechanismen Auf Industrieller Hardware.
2024, doi:10.17619/UNIPB/1-2112.
short: A.T. Rüting, Echtzeitfähige Modellprädiktive Planung Zeitoptimierter Trajektorien
Für Kinematisch Redundante Mechanismen Auf Industrieller Hardware, 2024.
date_created: 2025-01-30T14:53:50Z
date_updated: 2025-02-12T07:34:43Z
department:
- _id: '153'
- _id: '241'
doi: 10.17619/UNIPB/1-2112
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-2112
oa: '1'
publication_status: published
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Torsten
full_name: Bertram, Torsten
last_name: Bertram
title: Echtzeitfähige modellprädiktive Planung zeitoptimierter Trajektorien für kinematisch
redundante Mechanismen auf industrieller Hardware
type: dissertation
user_id: '82875'
year: '2024'
...
---
_id: '57893'
abstract:
- lang: eng
text: AbstractControl engineering applications
usually require a model that accurately represents the dynamics of the system.
In addition to classical physical modeling, powerful data‐driven approaches are
gaining popularity. However, the resulting models may not be ideal for control
design due to their black‐box structure, which inherently limits interpretability.
Formulating the system dynamics in port‐Hamiltonian form is highly beneficial,
as its valuable property of passivity enables the straightforward design of globally
stable controllers while ensuring physical interpretability. In a recently published
article, we presented a method for data‐driven inference of port‐Hamiltonian models
for complex mechatronic systems, requiring only fundamental physical prior knowledge.
The resulting models accurately represent the nonlinear dynamics of the considered
systems and are physically interpretable. In this contribution, we advance our
previous work by including two key elements. Firstly, we demonstrate the application
of the above described data‐driven PCHD models for controller design. Preserving
the port‐Hamiltonian form in the closed loop not only guarantees global stability
and robustness but also ensures desired speed and damping characteristics. Since
control systems based on output measurements, which are continuously measured
during operation due to the feedback structure, we secondly aim to use this data.
Thus, we augment the existing modeling strategy with an intelligent adaptation
approach to address uncertainties and (un)predictable system changes in mechatronic
systems throughout their lifecycle, such as the installation of new components,
wear, or temperature fluctuations during operation. Our proposed algorithm for
recursively calculated data‐driven port‐Hamiltonian models utilizes a least‐squares
approach with extensions such as automatically adjusting the forgetting factor
and controlling the covariance matrix trace. We demonstrate the results through
model‐based application on an academic example and experimental validation on
a test bench.
author:
- first_name: Annika
full_name: Junker, Annika
id: '41470'
last_name: Junker
orcid: 0009-0002-6475-2503
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Junker A, Timmermann J, Trächtler A. Adaptive Data‐Driven Models in Port‐Hamiltonian
Form for Control Design. PAMM. 2024;25(1). doi:10.1002/pamm.202400154
apa: Junker, A., Timmermann, J., & Trächtler, A. (2024). Adaptive Data‐Driven
Models in Port‐Hamiltonian Form for Control Design. PAMM, 25(1).
https://doi.org/10.1002/pamm.202400154
bibtex: '@article{Junker_Timmermann_Trächtler_2024, title={Adaptive Data‐Driven
Models in Port‐Hamiltonian Form for Control Design}, volume={25}, DOI={10.1002/pamm.202400154},
number={1}, journal={PAMM}, publisher={Wiley}, author={Junker, Annika and Timmermann,
Julia and Trächtler, Ansgar}, year={2024} }'
chicago: Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Adaptive Data‐Driven
Models in Port‐Hamiltonian Form for Control Design.” PAMM 25, no. 1 (2024).
https://doi.org/10.1002/pamm.202400154.
ieee: 'A. Junker, J. Timmermann, and A. Trächtler, “Adaptive Data‐Driven Models
in Port‐Hamiltonian Form for Control Design,” PAMM, vol. 25, no. 1, 2024,
doi: 10.1002/pamm.202400154.'
mla: Junker, Annika, et al. “Adaptive Data‐Driven Models in Port‐Hamiltonian Form
for Control Design.” PAMM, vol. 25, no. 1, Wiley, 2024, doi:10.1002/pamm.202400154.
short: A. Junker, J. Timmermann, A. Trächtler, PAMM 25 (2024).
date_created: 2025-01-01T16:11:38Z
date_updated: 2025-09-03T09:33:23Z
department:
- _id: '153'
- _id: '880'
doi: 10.1002/pamm.202400154
intvolume: ' 25'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://onlinelibrary.wiley.com/doi/epdf/10.1002/pamm.202400154
oa: '1'
project:
- _id: '690'
name: 'DART: Datengetriebene Methoden in der Regelungstechnik'
publication: PAMM
publication_identifier:
issn:
- 1617-7061
- 1617-7061
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design
type: journal_article
user_id: '15402'
volume: 25
year: '2024'
...
---
_id: '59051'
abstract:
- lang: eng
text: 'Model‐based state observers require high‐quality models to deliver accurate
state estimates. However, due to time or cost shortage, modeling simplifications
or numerical issues, models often have severe inaccuracies that may lead to insufficient
and deficient control. Instead of attempting to iteratively model these deviations,
we address the challenge by the concept of joint estimation. Thus, we assume a
linear combination of suitable functions to approximate the inaccuracies. The
parameters of the linear combination are supposed to be time invariant and augment
the model''s state. Subsequently, the parameters can be identified simultaneously
to the states within the observer. Referring to the principle of Occam''s razor,
the parameters are claimed to be sparse. Our former work shows that estimating
states and model inaccuracies simultaneously by a sparsity promoting unscented
Kalman filter yields not only high accuracy but also provides interpretable representations
of underlying inaccuracies. Based on this work, our contribution is twofold: First,
we apply our approach finally on a real‐world test bench, namely a golf robot.
Within the experimental setting, we investigate closed loop behavior as well as
how suitable functions need to be chosen to approximate the inaccuracies in a
physically interpretable way. Results do not only provide high state estimation
accuracy but also meaningful insights into the system''s inaccuracies. Second,
we discuss and establish a method to automatically adapt and update the model
based on collected data of the linear combination during operation. Examining
past parameter estimates by principal component analysis, a moving window is utilized
to extract the most dominant functions. These are kept characterizing the model
inaccuracies, while nondominant functions are automatically neglected and refilled
with novel function candidates. After analysis and rebuilding, this updated function
set is subsequently fed back into the joint estimation loop and deployed for further
estimation. Hence, we give a holistic paradigm of how to analyze and combat model
inaccuracies while ensuring high state estimation accuracy. Within this setting,
we once more investigate closed loop behavior and yield promising results. In
conclusion, we show that the proposed observer provides a helpful tool to guarantee
high estimation accuracy for models with severe inaccuracies or for situations
with occurring deviations during operation, for example, due to mechanical wear
or temperature changes.'
author:
- first_name: Ricarda-Samantha
full_name: Götte, Ricarda-Samantha
id: '43992'
last_name: Götte
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
citation:
ama: Götte R-S, Timmermann J. Online Learning With Joint State and Model Estimation.
PAMM. 2024;25(1). doi:10.1002/pamm.202400080
apa: Götte, R.-S., & Timmermann, J. (2024). Online Learning With Joint State
and Model Estimation. PAMM, 25(1). https://doi.org/10.1002/pamm.202400080
bibtex: '@article{Götte_Timmermann_2024, title={Online Learning With Joint State
and Model Estimation}, volume={25}, DOI={10.1002/pamm.202400080},
number={1}, journal={PAMM}, publisher={Wiley}, author={Götte, Ricarda-Samantha
and Timmermann, Julia}, year={2024} }'
chicago: Götte, Ricarda-Samantha, and Julia Timmermann. “Online Learning With Joint
State and Model Estimation.” PAMM 25, no. 1 (2024). https://doi.org/10.1002/pamm.202400080.
ieee: 'R.-S. Götte and J. Timmermann, “Online Learning With Joint State and Model
Estimation,” PAMM, vol. 25, no. 1, 2024, doi: 10.1002/pamm.202400080.'
mla: Götte, Ricarda-Samantha, and Julia Timmermann. “Online Learning With Joint
State and Model Estimation.” PAMM, vol. 25, no. 1, Wiley, 2024, doi:10.1002/pamm.202400080.
short: R.-S. Götte, J. Timmermann, PAMM 25 (2024).
date_created: 2025-03-17T07:06:12Z
date_updated: 2025-09-03T10:36:10Z
department:
- _id: '153'
- _id: '880'
doi: 10.1002/pamm.202400080
intvolume: ' 25'
issue: '1'
language:
- iso: eng
project:
- _id: '690'
name: 'DART: Datengetriebene Methoden in der Regelungstechnik'
publication: PAMM
publication_identifier:
issn:
- 1617-7061
- 1617-7061
publication_status: published
publisher: Wiley
status: public
title: Online Learning With Joint State and Model Estimation
type: journal_article
user_id: '15402'
volume: 25
year: '2024'
...
---
_id: '48577'
author:
- first_name: Mark
full_name: Henkenjohann, Mark
last_name: Henkenjohann
- first_name: Udo
full_name: Nolte, Udo
last_name: Nolte
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Henkenjohann M, Nolte U, Henke C, Trächtler A. Novel Cascaded Incremental
Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL. In: 2023
International Conference on Unmanned Aircraft Systems (ICUAS). IEEE; 2023.
doi:10.1109/icuas57906.2023.10156317'
apa: Henkenjohann, M., Nolte, U., Henke, C., & Trächtler, A. (2023). Novel Cascaded
Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL.
2023 International Conference on Unmanned Aircraft Systems (ICUAS). https://doi.org/10.1109/icuas57906.2023.10156317
bibtex: '@inproceedings{Henkenjohann_Nolte_Henke_Trächtler_2023, title={Novel Cascaded
Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL},
DOI={10.1109/icuas57906.2023.10156317},
booktitle={2023 International Conference on Unmanned Aircraft Systems (ICUAS)},
publisher={IEEE}, author={Henkenjohann, Mark and Nolte, Udo and Henke, Christian
and Trächtler, Ansgar}, year={2023} }'
chicago: Henkenjohann, Mark, Udo Nolte, Christian Henke, and Ansgar Trächtler. “Novel
Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor
VTOL.” In 2023 International Conference on Unmanned Aircraft Systems (ICUAS).
IEEE, 2023. https://doi.org/10.1109/icuas57906.2023.10156317.
ieee: 'M. Henkenjohann, U. Nolte, C. Henke, and A. Trächtler, “Novel Cascaded Incremental
Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL,” 2023, doi:
10.1109/icuas57906.2023.10156317.'
mla: Henkenjohann, Mark, et al. “Novel Cascaded Incremental Nonlinear Dynamic Inversion
Controller Approach for a Tiltrotor VTOL.” 2023 International Conference on
Unmanned Aircraft Systems (ICUAS), IEEE, 2023, doi:10.1109/icuas57906.2023.10156317.
short: 'M. Henkenjohann, U. Nolte, C. Henke, A. Trächtler, in: 2023 International
Conference on Unmanned Aircraft Systems (ICUAS), IEEE, 2023.'
date_created: 2023-10-31T15:47:14Z
date_updated: 2023-10-31T15:47:55Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/icuas57906.2023.10156317
language:
- iso: eng
publication: 2023 International Conference on Unmanned Aircraft Systems (ICUAS)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Novel Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach
for a Tiltrotor VTOL
type: conference
user_id: '41470'
year: '2023'
...
---
_id: '44316'
author:
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Rozo Vasquez J, Arian B, Kersting L, Walther F, Homberg W, Trächtler A. Softsensor
model of phase transformation during flow forming of metastable austenitic steel
AISI 304L. In: ; 2023.'
apa: Rozo Vasquez, J., Arian, B., Kersting, L., Walther, F., Homberg, W., &
Trächtler, A. (2023). Softsensor model of phase transformation during flow
forming of metastable austenitic steel AISI 304L. The 14th International Conference
on Numerical Methods in Industrial Forming Processes (Numiform 2023), Krakau.
bibtex: '@inproceedings{Rozo Vasquez_Arian_Kersting_Walther_Homberg_Trächtler_2023,
title={Softsensor model of phase transformation during flow forming of metastable
austenitic steel AISI 304L}, author={Rozo Vasquez, Julian and Arian, Bahman and
Kersting, Lukas and Walther, Frank and Homberg, Werner and Trächtler, Ansgar},
year={2023} }'
chicago: Rozo Vasquez, Julian, Bahman Arian, Lukas Kersting, Frank Walther, Werner
Homberg, and Ansgar Trächtler. “Softsensor Model of Phase Transformation during
Flow Forming of Metastable Austenitic Steel AISI 304L,” 2023.
ieee: J. Rozo Vasquez, B. Arian, L. Kersting, F. Walther, W. Homberg, and A. Trächtler,
“Softsensor model of phase transformation during flow forming of metastable austenitic
steel AISI 304L,” presented at the The 14th International Conference on Numerical
Methods in Industrial Forming Processes (Numiform 2023), Krakau, 2023.
mla: Rozo Vasquez, Julian, et al. Softsensor Model of Phase Transformation during
Flow Forming of Metastable Austenitic Steel AISI 304L. 2023.
short: 'J. Rozo Vasquez, B. Arian, L. Kersting, F. Walther, W. Homberg, A. Trächtler,
in: 2023.'
conference:
end_date: 2023-06-29
location: Krakau
name: The 14th International Conference on Numerical Methods in Industrial Forming
Processes (Numiform 2023)
start_date: 2023-06-25
date_created: 2023-05-02T09:56:46Z
date_updated: 2023-11-07T00:01:46Z
department:
- _id: '156'
- _id: '241'
- _id: '153'
language:
- iso: eng
quality_controlled: '1'
status: public
title: Softsensor model of phase transformation during flow forming of metastable
austenitic steel AISI 304L
type: conference
user_id: '14931'
year: '2023'
...
---
_id: '48781'
abstract:
- lang: eng
text: In a punch-bending machine, wire products are manufactured for a wide range
of industrial sectors, such as the electronics industry. The raw material for
this process is flat wire made of high-strength steel. During the manufacturing
process of the flat wire, residual stresses and plastic deformations are induced
into the wire. These residual stresses and deformations fluctuate over the length
of the semi-finished product and have a negative effect on the final product quality.
Straightening machines are used to reduce this influence to a minimum. So far,
the adjustment of a straightening machine has been performed manually, which is
a lengthy and complex task even for an experienced worker. This inevitably leads
to the use of inefficient straightening strategies and causes high rejection rates
in the entire production process. Due to a lack of sensor information from the
straightening operation, application of modern feedback control methods has not
been practicable. This paper presents a novel design for a straightening machine
with an integrated, precise straightening force measurement. By simultaneously
monitoring the position of the straightening rollers, state variables of the straightening
operation can be derived. Additionally, a tension control for feeding the flat
wire is introduced. This is implemented to mitigate the disturbing effects caused
by irregularities in the wire-feeding process. In the results of this article,
the high precision of the developed force measurement design and its possible
applications are shown.
author:
- first_name: Lukas
full_name: Bathelt, Lukas
last_name: Bathelt
- first_name: Maximilian
full_name: Scurk, Maximilian
last_name: Scurk
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Bathelt L, Scurk M, Djakow E, Henke C, Trächtler A. Novel Straightening-Machine
Design with Integrated Force Measurement for Straightening of High-Strength Flat
Wire. Sensors. 2023;23(22). doi:10.3390/s23229091
apa: Bathelt, L., Scurk, M., Djakow, E., Henke, C., & Trächtler, A. (2023).
Novel Straightening-Machine Design with Integrated Force Measurement for Straightening
of High-Strength Flat Wire. Sensors, 23(22). https://doi.org/10.3390/s23229091
bibtex: '@article{Bathelt_Scurk_Djakow_Henke_Trächtler_2023, title={Novel Straightening-Machine
Design with Integrated Force Measurement for Straightening of High-Strength Flat
Wire}, volume={23}, DOI={10.3390/s23229091},
number={22}, journal={Sensors}, author={Bathelt, Lukas and Scurk, Maximilian and
Djakow, Eugen and Henke, Christian and Trächtler, Ansgar}, year={2023} }'
chicago: Bathelt, Lukas, Maximilian Scurk, Eugen Djakow, Christian Henke, and Ansgar
Trächtler. “Novel Straightening-Machine Design with Integrated Force Measurement
for Straightening of High-Strength Flat Wire.” Sensors 23, no. 22 (2023).
https://doi.org/10.3390/s23229091.
ieee: 'L. Bathelt, M. Scurk, E. Djakow, C. Henke, and A. Trächtler, “Novel Straightening-Machine
Design with Integrated Force Measurement for Straightening of High-Strength Flat
Wire,” Sensors, vol. 23, no. 22, 2023, doi: 10.3390/s23229091.'
mla: Bathelt, Lukas, et al. “Novel Straightening-Machine Design with Integrated
Force Measurement for Straightening of High-Strength Flat Wire.” Sensors,
vol. 23, no. 22, 2023, doi:10.3390/s23229091.
short: L. Bathelt, M. Scurk, E. Djakow, C. Henke, A. Trächtler, Sensors 23 (2023).
date_created: 2023-11-10T14:25:34Z
date_updated: 2023-11-10T14:28:15Z
department:
- _id: '241'
- _id: '153'
doi: 10.3390/s23229091
intvolume: ' 23'
issue: '22'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1424-8220/23/22/9091
oa: '1'
publication: Sensors
publication_identifier:
issn:
- 1424-8220
quality_controlled: '1'
status: public
title: Novel Straightening-Machine Design with Integrated Force Measurement for Straightening
of High-Strength Flat Wire
type: journal_article
user_id: '41470'
volume: 23
year: '2023'
...
---
_id: '48570'
author:
- first_name: Cederic
full_name: Lenz, Cederic
last_name: Lenz
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Lenz C, Henke C, Trächtler A. A Methodical Approach to Hybrid Modelling for
Contextual Anomaly Detection on Time-Series Data. In: 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN). IEEE; 2023. doi:10.1109/indin51400.2023.10218108'
apa: Lenz, C., Henke, C., & Trächtler, A. (2023). A Methodical Approach to Hybrid
Modelling for Contextual Anomaly Detection on Time-Series Data. 2023 IEEE 21st
International Conference on Industrial Informatics (INDIN). https://doi.org/10.1109/indin51400.2023.10218108
bibtex: '@inproceedings{Lenz_Henke_Trächtler_2023, title={A Methodical Approach
to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data}, DOI={10.1109/indin51400.2023.10218108},
booktitle={2023 IEEE 21st International Conference on Industrial Informatics (INDIN)},
publisher={IEEE}, author={Lenz, Cederic and Henke, Christian and Trächtler, Ansgar},
year={2023} }'
chicago: Lenz, Cederic, Christian Henke, and Ansgar Trächtler. “A Methodical Approach
to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data.” In
2023 IEEE 21st International Conference on Industrial Informatics (INDIN).
IEEE, 2023. https://doi.org/10.1109/indin51400.2023.10218108.
ieee: 'C. Lenz, C. Henke, and A. Trächtler, “A Methodical Approach to Hybrid Modelling
for Contextual Anomaly Detection on Time-Series Data,” 2023, doi: 10.1109/indin51400.2023.10218108.'
mla: Lenz, Cederic, et al. “A Methodical Approach to Hybrid Modelling for Contextual
Anomaly Detection on Time-Series Data.” 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), IEEE, 2023, doi:10.1109/indin51400.2023.10218108.
short: 'C. Lenz, C. Henke, A. Trächtler, in: 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), IEEE, 2023.'
date_created: 2023-10-31T13:49:23Z
date_updated: 2023-10-31T13:50:43Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/indin51400.2023.10218108
language:
- iso: eng
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection
on Time-Series Data
type: conference
user_id: '41470'
year: '2023'
...
---
_id: '48572'
abstract:
- lang: eng
text: Abstract. To increase the sustainability of forming processes such
as punch bending, homogenization of the processed semi-finished product is an
essential step in the manufacturing process. High-strength wire materials are
usually available as strip material before being further processed in a forming
process. For storage and transport, the material is coiled onto coils and transported
to the customer. During the coiling process, residual stresses and plastic deformation
are introduced into the wire. Thus, the final product quality is also influenced
by the geometry of the coil. Straightening machines are used in production lines
to compensate for these. Once a straightening machine has been set up, the settings
for the roll positions are usually not changed. As a result, there is no reaction
to material fluctuations, which means that the components to be produced do not
meet the dimensional accuracy requirements. This leads to an increase in the rejection
rate in manufacturing processes. To reduce the rejection rate, it is necessary
to enable dynamic and flexible infeed of the straightening rollers. In this context,
an innovative control concept with disturbance compensation was developed for
the straightening process. The disturbance compensation uses a disturbance model
that predicts the change in bending curvature over the coil radius. With this
prediction, the straightening machine can be adjusted specifically. The roller
positions are adjusted by a subordinate position control. The additional feedback
from measured geometric product properties from the following punching-bending
process enables the straightening machine to be adjusted even in the case of unforeseen
fluctuations in the material properties. In this way, it is possible to react
to any material fluctuations as required. This novel, demand-oriented adjustment
of the straightening machine is expected to result in a high increase in the efficiency
of the production process and a reduction of the rejection rate.
author:
- first_name: Lukas
full_name: Bathelt, Lukas
last_name: Bathelt
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Bathelt L, Djakow E, Henke C, Trächtler A. Innovative self-learning disturbance
compensation for straightening processes. In: Materials Research Proceedings.
Materials Research Forum LLC; 2023. doi:10.21741/9781644902479-216'
apa: Bathelt, L., Djakow, E., Henke, C., & Trächtler, A. (2023). Innovative
self-learning disturbance compensation for straightening processes. Materials
Research Proceedings. https://doi.org/10.21741/9781644902479-216
bibtex: '@inproceedings{Bathelt_Djakow_Henke_Trächtler_2023, title={Innovative self-learning
disturbance compensation for straightening processes}, DOI={10.21741/9781644902479-216},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Bathelt, Lukas and Djakow, Eugen and Henke, Christian and Trächtler,
Ansgar}, year={2023} }'
chicago: Bathelt, Lukas, Eugen Djakow, Christian Henke, and Ansgar Trächtler. “Innovative
Self-Learning Disturbance Compensation for Straightening Processes.” In Materials
Research Proceedings. Materials Research Forum LLC, 2023. https://doi.org/10.21741/9781644902479-216.
ieee: 'L. Bathelt, E. Djakow, C. Henke, and A. Trächtler, “Innovative self-learning
disturbance compensation for straightening processes,” 2023, doi: 10.21741/9781644902479-216.'
mla: Bathelt, Lukas, et al. “Innovative Self-Learning Disturbance Compensation for
Straightening Processes.” Materials Research Proceedings, Materials Research
Forum LLC, 2023, doi:10.21741/9781644902479-216.
short: 'L. Bathelt, E. Djakow, C. Henke, A. Trächtler, in: Materials Research Proceedings,
Materials Research Forum LLC, 2023.'
date_created: 2023-10-31T14:08:16Z
date_updated: 2023-10-31T14:31:51Z
department:
- _id: '153'
- _id: '241'
doi: 10.21741/9781644902479-216
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Innovative self-learning disturbance compensation for straightening processes
type: conference
user_id: '41470'
year: '2023'
...
---
_id: '48001'
author:
- first_name: Lukas
full_name: Bathelt, Lukas
last_name: Bathelt
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Frederik
full_name: Dahms, Frederik
id: '64977'
last_name: Dahms
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
citation:
ama: 'Bathelt L, Djakow E, Dahms F, Henke C, Trächtler A, Homberg W. Neuartiger
Ansatz zum Richten von zwei- und dreidimensionalen Fehlern an einem Federdraht.
In: Ilmenauer Federntag 2023: Neueste Erkenntnisse Zu Funktion, Berechnung,
Prüfung Und Gestaltung von Federn Und Werkstoffen. ISLE Steuerungstechnik
und Leistungselektronik; 2023.'
apa: 'Bathelt, L., Djakow, E., Dahms, F., Henke, C., Trächtler, A., & Homberg,
W. (2023). Neuartiger Ansatz zum Richten von zwei- und dreidimensionalen Fehlern
an einem Federdraht. Ilmenauer Federntag 2023: Neueste Erkenntnisse Zu Funktion,
Berechnung, Prüfung Und Gestaltung von Federn Und Werkstoffen. Ilmenauer Federntag
2023, Ilmenau.'
bibtex: '@inproceedings{Bathelt_Djakow_Dahms_Henke_Trächtler_Homberg_2023, place={Ilmenau,
Germany}, title={Neuartiger Ansatz zum Richten von zwei- und dreidimensionalen
Fehlern an einem Federdraht}, booktitle={Ilmenauer Federntag 2023: Neueste Erkenntnisse
zu Funktion, Berechnung, Prüfung und Gestaltung von Federn und Werkstoffen}, publisher={ISLE
Steuerungstechnik und Leistungselektronik}, author={Bathelt, Lukas and Djakow,
Eugen and Dahms, Frederik and Henke, Christian and Trächtler, Ansgar and Homberg,
Werner}, year={2023} }'
chicago: 'Bathelt, Lukas, Eugen Djakow, Frederik Dahms, Christian Henke, Ansgar
Trächtler, and Werner Homberg. “Neuartiger Ansatz Zum Richten von Zwei- Und Dreidimensionalen
Fehlern an Einem Federdraht.” In Ilmenauer Federntag 2023: Neueste Erkenntnisse
Zu Funktion, Berechnung, Prüfung Und Gestaltung von Federn Und Werkstoffen.
Ilmenau, Germany: ISLE Steuerungstechnik und Leistungselektronik, 2023.'
ieee: L. Bathelt, E. Djakow, F. Dahms, C. Henke, A. Trächtler, and W. Homberg, “Neuartiger
Ansatz zum Richten von zwei- und dreidimensionalen Fehlern an einem Federdraht,”
presented at the Ilmenauer Federntag 2023, Ilmenau, 2023.
mla: 'Bathelt, Lukas, et al. “Neuartiger Ansatz Zum Richten von Zwei- Und Dreidimensionalen
Fehlern an Einem Federdraht.” Ilmenauer Federntag 2023: Neueste Erkenntnisse
Zu Funktion, Berechnung, Prüfung Und Gestaltung von Federn Und Werkstoffen,
ISLE Steuerungstechnik und Leistungselektronik, 2023.'
short: 'L. Bathelt, E. Djakow, F. Dahms, C. Henke, A. Trächtler, W. Homberg, in:
Ilmenauer Federntag 2023: Neueste Erkenntnisse Zu Funktion, Berechnung, Prüfung
Und Gestaltung von Federn Und Werkstoffen, ISLE Steuerungstechnik und Leistungselektronik,
Ilmenau, Germany, 2023.'
conference:
end_date: 2023-09-19
location: Ilmenau
name: Ilmenauer Federntag 2023
start_date: 2023-09-18
date_created: 2023-10-11T11:45:56Z
date_updated: 2023-10-31T14:56:44Z
department:
- _id: '156'
- _id: '153'
- _id: '241'
language:
- iso: eng
place: Ilmenau, Germany
publication: 'Ilmenauer Federntag 2023: Neueste Erkenntnisse zu Funktion, Berechnung,
Prüfung und Gestaltung von Federn und Werkstoffen'
publication_identifier:
isbn:
- 978-3-948595-09-8
publisher: ISLE Steuerungstechnik und Leistungselektronik
quality_controlled: '1'
status: public
title: Neuartiger Ansatz zum Richten von zwei- und dreidimensionalen Fehlern an einem
Federdraht
type: conference
user_id: '14931'
year: '2023'
...
---
_id: '48571'
author:
- first_name: Steven
full_name: Koppert, Steven
last_name: Koppert
- first_name: Maximilian
full_name: Bause, Maximilian
id: '52175'
last_name: Bause
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Koppert S, Bause M, Henke C, Trächtler A. Learning the Automated Setup of
Profile Wrapping Lines for New Products from Few Past Setups. In: 2023 IEEE
21st International Conference on Industrial Informatics (INDIN). IEEE; 2023.
doi:10.1109/indin51400.2023.10217972'
apa: Koppert, S., Bause, M., Henke, C., & Trächtler, A. (2023). Learning the
Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups.
2023 IEEE 21st International Conference on Industrial Informatics (INDIN).
https://doi.org/10.1109/indin51400.2023.10217972
bibtex: '@inproceedings{Koppert_Bause_Henke_Trächtler_2023, title={Learning the
Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups},
DOI={10.1109/indin51400.2023.10217972},
booktitle={2023 IEEE 21st International Conference on Industrial Informatics (INDIN)},
publisher={IEEE}, author={Koppert, Steven and Bause, Maximilian and Henke, Christian
and Trächtler, Ansgar}, year={2023} }'
chicago: Koppert, Steven, Maximilian Bause, Christian Henke, and Ansgar Trächtler.
“Learning the Automated Setup of Profile Wrapping Lines for New Products from
Few Past Setups.” In 2023 IEEE 21st International Conference on Industrial
Informatics (INDIN). IEEE, 2023. https://doi.org/10.1109/indin51400.2023.10217972.
ieee: 'S. Koppert, M. Bause, C. Henke, and A. Trächtler, “Learning the Automated
Setup of Profile Wrapping Lines for New Products from Few Past Setups,” 2023,
doi: 10.1109/indin51400.2023.10217972.'
mla: Koppert, Steven, et al. “Learning the Automated Setup of Profile Wrapping Lines
for New Products from Few Past Setups.” 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), IEEE, 2023, doi:10.1109/indin51400.2023.10217972.
short: 'S. Koppert, M. Bause, C. Henke, A. Trächtler, in: 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN), IEEE, 2023.'
date_created: 2023-10-31T14:00:13Z
date_updated: 2023-10-31T14:32:16Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/indin51400.2023.10217972
language:
- iso: eng
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Learning the Automated Setup of Profile Wrapping Lines for New Products from
Few Past Setups
type: conference
user_id: '41470'
year: '2023'
...
---
_id: '49560'
author:
- first_name: Stephan
full_name: Stieren, Stephan
last_name: Stieren
- first_name: Moritz
full_name: Wichtrup, Moritz
last_name: Wichtrup
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Stieren S, Wichtrup M, Henke C, Trächtler A. Concept for a cloud-based holistic
energy management of domestic appliances to stabilize the energy supply and the
power grid. In: NEIS - Conference on Sustainable Energy Supply and Energy Storage
Systems. ; 2023.'
apa: Stieren, S., Wichtrup, M., Henke, C., & Trächtler, A. (2023). Concept for
a cloud-based holistic energy management of domestic appliances to stabilize the
energy supply and the power grid. NEIS - Conference on Sustainable Energy Supply
and Energy Storage Systems. NEIS - Conference on Sustainable Energy Supply
and Energy Storage Systems, Hamburg.
bibtex: '@inproceedings{Stieren_Wichtrup_Henke_Trächtler_2023, title={Concept for
a cloud-based holistic energy management of domestic appliances to stabilize the
energy supply and the power grid}, booktitle={NEIS - Conference on Sustainable
Energy Supply and Energy Storage Systems}, author={Stieren, Stephan and Wichtrup,
Moritz and Henke, Christian and Trächtler, Ansgar}, year={2023} }'
chicago: Stieren, Stephan, Moritz Wichtrup, Christian Henke, and Ansgar Trächtler.
“Concept for a Cloud-Based Holistic Energy Management of Domestic Appliances to
Stabilize the Energy Supply and the Power Grid.” In NEIS - Conference on Sustainable
Energy Supply and Energy Storage Systems, 2023.
ieee: S. Stieren, M. Wichtrup, C. Henke, and A. Trächtler, “Concept for a cloud-based
holistic energy management of domestic appliances to stabilize the energy supply
and the power grid,” presented at the NEIS - Conference on Sustainable Energy
Supply and Energy Storage Systems, Hamburg, 2023.
mla: Stieren, Stephan, et al. “Concept for a Cloud-Based Holistic Energy Management
of Domestic Appliances to Stabilize the Energy Supply and the Power Grid.” NEIS
- Conference on Sustainable Energy Supply and Energy Storage Systems, 2023.
short: 'S. Stieren, M. Wichtrup, C. Henke, A. Trächtler, in: NEIS - Conference on
Sustainable Energy Supply and Energy Storage Systems, 2023.'
conference:
location: Hamburg
name: NEIS - Conference on Sustainable Energy Supply and Energy Storage Systems
date_created: 2023-12-12T08:39:12Z
date_updated: 2023-12-12T08:39:39Z
department:
- _id: '153'
- _id: '241'
language:
- iso: eng
publication: NEIS - Conference on Sustainable Energy Supply and Energy Storage Systems
status: public
title: Concept for a cloud-based holistic energy management of domestic appliances
to stabilize the energy supply and the power grid
type: conference
user_id: '41470'
year: '2023'
...
---
_id: '44314'
abstract:
- lang: eng
text: Abstract. Workpiece property-control permits the application-oriented
and time-efficient production of components. In reverse flow forming, for example,
a control of the microstructure profile is not yet part of the state of the art,
in contrast to the geometry control. This is, due to several reasons, particularly
challenging when forming seamless tubes made of metastable austenitic stainless
AISI 304L steel. Inducing mechanical and/or thermal energy can cause a phase transformation
from austenite to martensite within this steel. The resulting α’-martensite has
different mechanical and micromagnetic properties, which can be advantageous depending
on the application. For purposes of local property control, the resulting α’-martensite
content should be measured and controlled online during the forming process. This
paper presents results from the usage of a custom developed cryo-system and different
application strategies to use liquid nitrogen as a coolant for local enhancement
of the forming-temperature depending α’-martensite content.
author:
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Arian B, Homberg W, Kersting L, Trächtler A, Rozo Vasquez J, Walther F. Cryogenic
reverse flow forming of AISI 304L. In: Materials Research Proceedings.
Materials Research Forum LLC; 2023. doi:10.21741/9781644902479-219'
apa: Arian, B., Homberg, W., Kersting, L., Trächtler, A., Rozo Vasquez, J., &
Walther, F. (2023). Cryogenic reverse flow forming of AISI 304L. Materials
Research Proceedings. https://doi.org/10.21741/9781644902479-219
bibtex: '@inproceedings{Arian_Homberg_Kersting_Trächtler_Rozo Vasquez_Walther_2023,
title={Cryogenic reverse flow forming of AISI 304L}, DOI={10.21741/9781644902479-219},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler,
Ansgar and Rozo Vasquez, Julian and Walther, Frank}, year={2023} }'
chicago: Arian, Bahman, Werner Homberg, Lukas Kersting, Ansgar Trächtler, Julian
Rozo Vasquez, and Frank Walther. “Cryogenic Reverse Flow Forming of AISI 304L.”
In Materials Research Proceedings. Materials Research Forum LLC, 2023.
https://doi.org/10.21741/9781644902479-219.
ieee: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, and F.
Walther, “Cryogenic reverse flow forming of AISI 304L,” 2023, doi: 10.21741/9781644902479-219.'
mla: Arian, Bahman, et al. “Cryogenic Reverse Flow Forming of AISI 304L.” Materials
Research Proceedings, Materials Research Forum LLC, 2023, doi:10.21741/9781644902479-219.
short: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, F. Walther,
in: Materials Research Proceedings, Materials Research Forum LLC, 2023.'
date_created: 2023-05-02T09:43:25Z
date_updated: 2023-12-15T09:32:05Z
department:
- _id: '156'
- _id: '241'
- _id: '153'
doi: 10.21741/9781644902479-219
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mrforum.com/product/9781644902479-219/
oa: '1'
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Cryogenic reverse flow forming of AISI 304L
type: conference
user_id: '36287'
year: '2023'
...
---
_id: '48075'
abstract:
- lang: eng
text: AbstractThe constantly increasing challenges
of production technology for the economic and resource-saving production of metallic
workpieces require, among other things, the optimisation of existing processes.
Forming technology, which is confronted with new challenges regarding the quality
of the workpieces, must also organise the individual processes more efficiently
and at the same time more reliably in order to be able to guarantee good workpiece
quality and at the same time to be able to produce economically. One way to meet
these challenges is to carry out the forming processes in closed-loop control
systems using softsensors. Despite the many potential applications of softsensors
in the field of forming technology, there is still no definition of the term softsensor.
This publication therefore proposes a definition of the softsensor based on the
definition of a sensor and the distinction from the observer, which on the one
hand is intended to stimulate scientific discourse and on the other hand is also
intended to form the basis for further scientific work. Based on this definition,
a wide variety of highly topical application examples of various softsensors in
the field of forming technology are given.
article_type: original
author:
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Viktor
full_name: Arne, Viktor
last_name: Arne
- first_name: Thomas
full_name: Borgert, Thomas
id: '83141'
last_name: Borgert
- first_name: Alexander
full_name: Brosius, Alexander
last_name: Brosius
- first_name: Peter
full_name: Groche, Peter
last_name: Groche
- first_name: Christoph
full_name: Hartmann, Christoph
last_name: Hartmann
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Robert
full_name: Laue, Robert
last_name: Laue
- first_name: Juri
full_name: Martschin, Juri
last_name: Martschin
- first_name: Thomas
full_name: Meurer, Thomas
last_name: Meurer
- first_name: Daniel
full_name: Spies, Daniel
last_name: Spies
- first_name: A. Erman
full_name: Tekkaya, A. Erman
last_name: Tekkaya
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Wolfram
full_name: Volk, Wolfram
last_name: Volk
- first_name: Frank
full_name: Wendler, Frank
last_name: Wendler
- first_name: Malte
full_name: Wrobel, Malte
last_name: Wrobel
citation:
ama: 'Homberg W, Arian B, Arne V, et al. Softsensors: key component of property
control in forming technology. Production Engineering. Published online
2023. doi:10.1007/s11740-023-01227-1'
apa: 'Homberg, W., Arian, B., Arne, V., Borgert, T., Brosius, A., Groche, P., Hartmann,
C., Kersting, L., Laue, R., Martschin, J., Meurer, T., Spies, D., Tekkaya, A.
E., Trächtler, A., Volk, W., Wendler, F., & Wrobel, M. (2023). Softsensors:
key component of property control in forming technology. Production Engineering.
https://doi.org/10.1007/s11740-023-01227-1'
bibtex: '@article{Homberg_Arian_Arne_Borgert_Brosius_Groche_Hartmann_Kersting_Laue_Martschin_et
al._2023, title={Softsensors: key component of property control in forming technology},
DOI={10.1007/s11740-023-01227-1},
journal={Production Engineering}, publisher={Springer Science and Business Media
LLC}, author={Homberg, Werner and Arian, Bahman and Arne, Viktor and Borgert,
Thomas and Brosius, Alexander and Groche, Peter and Hartmann, Christoph and Kersting,
Lukas and Laue, Robert and Martschin, Juri and et al.}, year={2023} }'
chicago: 'Homberg, Werner, Bahman Arian, Viktor Arne, Thomas Borgert, Alexander
Brosius, Peter Groche, Christoph Hartmann, et al. “Softsensors: Key Component
of Property Control in Forming Technology.” Production Engineering, 2023.
https://doi.org/10.1007/s11740-023-01227-1.'
ieee: 'W. Homberg et al., “Softsensors: key component of property control
in forming technology,” Production Engineering, 2023, doi: 10.1007/s11740-023-01227-1.'
mla: 'Homberg, Werner, et al. “Softsensors: Key Component of Property Control in
Forming Technology.” Production Engineering, Springer Science and Business
Media LLC, 2023, doi:10.1007/s11740-023-01227-1.'
short: W. Homberg, B. Arian, V. Arne, T. Borgert, A. Brosius, P. Groche, C. Hartmann,
L. Kersting, R. Laue, J. Martschin, T. Meurer, D. Spies, A.E. Tekkaya, A. Trächtler,
W. Volk, F. Wendler, M. Wrobel, Production Engineering (2023).
date_created: 2023-10-16T07:17:17Z
date_updated: 2023-12-22T10:56:58Z
department:
- _id: '156'
- _id: '153'
- _id: '241'
doi: 10.1007/s11740-023-01227-1
keyword:
- Industrial and Manufacturing Engineering
- Mechanical Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s11740-023-01227-1
oa: '1'
publication: Production Engineering
publication_identifier:
issn:
- 0944-6524
- 1863-7353
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: 'Softsensors: key component of property control in forming technology'
type: journal_article
user_id: '14931'
year: '2023'
...
---
_id: '42344'
author:
- first_name: Nico
full_name: Rüddenklau, Nico
id: '22359'
last_name: Rüddenklau
citation:
ama: Rüddenklau N. Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten.
apa: Rüddenklau, N. (n.d.). Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten.
bibtex: '@book{Rüddenklau, title={Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten}, author={Rüddenklau,
Nico} }'
chicago: Rüddenklau, Nico. Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten, n.d.
ieee: N. Rüddenklau, Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten. .
mla: Rüddenklau, Nico. Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten.
short: N. Rüddenklau, Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten
zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten, n.d.
date_created: 2023-02-23T10:16:24Z
date_updated: 2024-07-12T12:07:11Z
department:
- _id: '153'
- _id: '26'
language:
- iso: ger
publication_status: unpublished
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
title: Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten zur Entwicklung
von Lichtfunktionen in virtuellen Nachtfahrten
type: dissertation
user_id: '1112'
year: '2023'
...
---
_id: '42345'
author:
- first_name: Patrick
full_name: Biemelt, Patrick
id: '24876'
last_name: Biemelt
citation:
ama: Biemelt P. Entwurf und Analyse modellprädiktiver Regelungsansätze zur Steigerung
des Immersionsempfindens in interaktiven Fahrsimulationen.
apa: Biemelt, P. (n.d.). Entwurf und Analyse modellprädiktiver Regelungsansätze
zur Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen.
bibtex: '@book{Biemelt, title={Entwurf und Analyse modellprädiktiver Regelungsansätze
zur Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen}, author={Biemelt,
Patrick} }'
chicago: Biemelt, Patrick. Entwurf und Analyse modellprädiktiver Regelungsansätze
zur Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen,
n.d.
ieee: P. Biemelt, Entwurf und Analyse modellprädiktiver Regelungsansätze zur
Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen. .
mla: Biemelt, Patrick. Entwurf und Analyse modellprädiktiver Regelungsansätze
zur Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen.
short: P. Biemelt, Entwurf und Analyse modellprädiktiver Regelungsansätze zur Steigerung
des Immersionsempfindens in interaktiven Fahrsimulationen, n.d.
date_created: 2023-02-23T10:17:42Z
date_updated: 2024-07-12T12:07:25Z
department:
- _id: '153'
- _id: '26'
language:
- iso: ger
publication_status: unpublished
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
title: Entwurf und Analyse modellprädiktiver Regelungsansätze zur Steigerung des Immersionsempfindens
in interaktiven Fahrsimulationen
type: dissertation
user_id: '1112'
year: '2023'
...
---
_id: '44390'
abstract:
- lang: eng
text: The development of autonomous vehicles and their introduction in urban traffic
offer many opportunities for traffic improvements. In this paper, an approach
for a future traffic control system for mixed autonomy traffic environments is
presented. Furthermore, a simulation framework based on the city of Paderborn
is introduced to enable the development and examination of such a system. This
encompasses multiple elements including the road network itself, traffic lights,
sensors as well as methods to analyse the topology of the network. Furthermore,
a procedure for traffic demand generation and routing is presented based on statistical
data of the city and traffic data obtained by measurements. The resulting model
can receive and apply the generated control inputs and in turn generates simulated
sensor data for the control system based on the current system state.
author:
- first_name: Christopher
full_name: Link, Christopher
id: '38249'
last_name: Link
- first_name: Kevin
full_name: Malena, Kevin
id: '36303'
last_name: Malena
orcid: 0000-0003-1183-4679
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Link C, Malena K, Gausemeier S, Trächtler A. Simulation Environment for Traffic
Control Systems Targeting Mixed Autonomy Traffic Scenarios. In: Proceedings
of the 9th International Conference on Vehicle Technology and Intelligent Transport
Systems. SCITEPRESS - Science and Technology Publications; 2023. doi:10.5220/0011987600003479'
apa: Link, C., Malena, K., Gausemeier, S., & Trächtler, A. (2023). Simulation
Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent
Transport Systems. 9th International Conference on Vehicle Technology and
Intelligent Transport Systems (VEHITS 2023), Prague, Czech Republic. https://doi.org/10.5220/0011987600003479
bibtex: '@inproceedings{Link_Malena_Gausemeier_Trächtler_2023, title={Simulation
Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios},
DOI={10.5220/0011987600003479},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology
and Intelligent Transport Systems}, publisher={SCITEPRESS - Science and Technology
Publications}, author={Link, Christopher and Malena, Kevin and Gausemeier, Sandra
and Trächtler, Ansgar}, year={2023} }'
chicago: Link, Christopher, Kevin Malena, Sandra Gausemeier, and Ansgar Trächtler.
“Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic
Scenarios.” In Proceedings of the 9th International Conference on Vehicle Technology
and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications,
2023. https://doi.org/10.5220/0011987600003479.
ieee: 'C. Link, K. Malena, S. Gausemeier, and A. Trächtler, “Simulation Environment
for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios,” presented
at the 9th International Conference on Vehicle Technology and Intelligent Transport
Systems (VEHITS 2023), Prague, Czech Republic, 2023, doi: 10.5220/0011987600003479.'
mla: Link, Christopher, et al. “Simulation Environment for Traffic Control Systems
Targeting Mixed Autonomy Traffic Scenarios.” Proceedings of the 9th International
Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS
- Science and Technology Publications, 2023, doi:10.5220/0011987600003479.
short: 'C. Link, K. Malena, S. Gausemeier, A. Trächtler, in: Proceedings of the
9th International Conference on Vehicle Technology and Intelligent Transport Systems,
SCITEPRESS - Science and Technology Publications, 2023.'
conference:
end_date: 2023-04-28
location: Prague, Czech Republic
name: 9th International Conference on Vehicle Technology and Intelligent Transport
Systems (VEHITS 2023)
start_date: 2023-04-26
date_created: 2023-05-03T08:57:10Z
date_updated: 2023-05-03T09:15:19Z
department:
- _id: '153'
doi: 10.5220/0011987600003479
keyword:
- Traffic Simulation
- Traffic Control
- Car2X
- Mixed Autonomy
- Autonomous Vehicles
- SUMO
- Sensor Simulation
- Traffic Demand Generation
- Routing
- Traffic Lights
- Graph Analysis
- Traffic Observer
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/Link.aspx?doi=10.5220/0011987600003479
publication: Proceedings of the 9th International Conference on Vehicle Technology
and Intelligent Transport Systems
publication_identifier:
isbn:
- 978-989-758-652-1
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
quality_controlled: '1'
status: public
title: Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy
Traffic Scenarios
type: conference
user_id: '38249'
year: '2023'
...
---
_id: '44312'
abstract:
- lang: eng
text: "Zusammenfassung\r\n Aufgrund
aktueller Transformationsprozesse kommt der automatisierten und ressourceneffizienten
Fertigung hochfester Leichtbauteile eine steigende Bedeutung zu, beispielsweise
im Flugzeug- und Fahrzeugbau. Für kleine Losgrößen bietet sich hier insbesondere
das Fertigungsverfahren des Drückwalzens an. Der konventionelle, industriell genutzte
Drückwalzprozess stößt allerdings aufgrund der Prozesskomplexität hinsichtlich
der Reproduzierbarkeit an seine Grenzen. Dies wird in der Praxis teilweise durch
personengebundenes Erfahrungswissen kompensiert. Auch ist es nicht möglich, Bauteileigenschaften
definiert einzustellen. Aus diesem Grund bietet der Einsatz einer neuartigen Eigenschaftsregelung
Chancen zur Weiterentwicklung des Fertigungsprozesses und die Möglichkeit zur
Prozessautomatisierung. Hier werden die Werkzeugbahnen abhängig einer Online-Eigenschaftsmessung
über eine zusätzliche Reglerkaskade manipuliert. Die Entwicklung einer solchen
Eigenschaftsregelung erfordert den Einsatz geeigneter, modellbasierter Entwurfsmethoden.
In diesem Beitrag wird daher ein regelungstechnisches Systemmodell für das Drückwalzen
metastabiler austenitischer Edelstähle vorgestellt. Das Simulationsmodell weist
aufgrund seiner Echtzeitfähigkeit neben dem Einsatz als reines Entwurfsmodell
weitere Nutzungsmöglichkeiten z.B. in Beobachtern auf und grenzt sich somit von
domänenspezifischen Simulationstools wie der FEM ab."
author:
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: Kersting L, Arian B, Rozo Vasquez J, Trächtler A, Homberg W, Walther F. Echtzeitfähige
Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte
Bauteilfertigung. at - Automatisierungstechnik. 2023;71(1):68-81. doi:10.1515/auto-2022-0106
apa: Kersting, L., Arian, B., Rozo Vasquez, J., Trächtler, A., Homberg, W., &
Walther, F. (2023). Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses
für die eigenschaftsgeregelte Bauteilfertigung. At - Automatisierungstechnik,
71(1), 68–81. https://doi.org/10.1515/auto-2022-0106
bibtex: '@article{Kersting_Arian_Rozo Vasquez_Trächtler_Homberg_Walther_2023, title={Echtzeitfähige
Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte
Bauteilfertigung}, volume={71}, DOI={10.1515/auto-2022-0106},
number={1}, journal={at - Automatisierungstechnik}, publisher={Walter de Gruyter
GmbH}, author={Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and
Trächtler, Ansgar and Homberg, Werner and Walther, Frank}, year={2023}, pages={68–81}
}'
chicago: 'Kersting, Lukas, Bahman Arian, Julian Rozo Vasquez, Ansgar Trächtler,
Werner Homberg, and Frank Walther. “Echtzeitfähige Modellierung Eines Innovativen
Drückwalzprozesses Für Die Eigenschaftsgeregelte Bauteilfertigung.” At - Automatisierungstechnik
71, no. 1 (2023): 68–81. https://doi.org/10.1515/auto-2022-0106.'
ieee: 'L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, and F.
Walther, “Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für
die eigenschaftsgeregelte Bauteilfertigung,” at - Automatisierungstechnik,
vol. 71, no. 1, pp. 68–81, 2023, doi: 10.1515/auto-2022-0106.'
mla: Kersting, Lukas, et al. “Echtzeitfähige Modellierung Eines Innovativen Drückwalzprozesses
Für Die Eigenschaftsgeregelte Bauteilfertigung.” At - Automatisierungstechnik,
vol. 71, no. 1, Walter de Gruyter GmbH, 2023, pp. 68–81, doi:10.1515/auto-2022-0106.
short: L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther,
At - Automatisierungstechnik 71 (2023) 68–81.
date_created: 2023-05-02T09:35:01Z
date_updated: 2023-09-25T10:08:25Z
department:
- _id: '156'
- _id: '241'
- _id: '153'
doi: 10.1515/auto-2022-0106
intvolume: ' 71'
issue: '1'
keyword:
- Electrical and Electronic Engineering
- Computer Science Applications
- Control and Systems Engineering
language:
- iso: eng
page: 68-81
publication: at - Automatisierungstechnik
publication_identifier:
issn:
- 0178-2312
- 2196-677X
publication_status: published
publisher: Walter de Gruyter GmbH
quality_controlled: '1'
status: public
title: Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte
Bauteilfertigung
type: journal_article
user_id: '552'
volume: 71
year: '2023'
...
---
_id: '44315'
abstract:
- lang: eng
text: Abstract. Climate change, rare resources and industrial transformation
processes lead to a rising demand of multi-complex lightweight forming parts,
especially in aerospace and automotive sectors. In these industries, flow forming
is often used to produce cylindrical forming parts by reducing the wall thickness
of tubular semifinished parts, e.g. for the production of hydraulic cylinders
or gear shafts. The complexity and functionality of flow forming workpieces could
be significantly increased by locally graded microstructure and geometry structures.
This enables customized complex hardness distributions at wear surfaces or magnetic
QR codes for a unique, tamper-proof product identification. The production of
those complex, 2D (axial and angular) graded forming parts currently depicts a
great challenge for the process and requires new solutions and strategies. Hence,
this paper proposes a novel control strategy that includes online measurements
from an absolute encoder to determine the angular workpiece position. Workpieces
of AISI 304L stainless steel with 2D-graded structures are successfully manufactured
using this new strategy and analyzed regarding the possible accuracy and resolution
of the gradation. At this point, a dependency of the gradations on the sensor
and actuator dynamics, accuracy and geometry could be noted. It is further evaluated
how the control strategy could be extended by an observer-based closed-loop property
control approach to enhance the accuracy of the suggested strategy.
author:
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Kersting L, Arian B, Rozo Vasquez J, Trächtler A, Homberg W, Walther F. Control
strategy for angular gradations by means of the flow forming process. In: Materials
Research Proceedings. Materials Research Forum LLC; 2023. doi:10.21741/9781644902479-220'
apa: Kersting, L., Arian, B., Rozo Vasquez, J., Trächtler, A., Homberg, W., &
Walther, F. (2023). Control strategy for angular gradations by means of the flow
forming process. Materials Research Proceedings. https://doi.org/10.21741/9781644902479-220
bibtex: '@inproceedings{Kersting_Arian_Rozo Vasquez_Trächtler_Homberg_Walther_2023,
title={Control strategy for angular gradations by means of the flow forming process},
DOI={10.21741/9781644902479-220},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler,
Ansgar and Homberg, Werner and Walther, Frank}, year={2023} }'
chicago: Kersting, Lukas, Bahman Arian, Julian Rozo Vasquez, Ansgar Trächtler, Werner
Homberg, and Frank Walther. “Control Strategy for Angular Gradations by Means
of the Flow Forming Process.” In Materials Research Proceedings. Materials
Research Forum LLC, 2023. https://doi.org/10.21741/9781644902479-220.
ieee: 'L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, and F.
Walther, “Control strategy for angular gradations by means of the flow forming
process,” 2023, doi: 10.21741/9781644902479-220.'
mla: Kersting, Lukas, et al. “Control Strategy for Angular Gradations by Means of
the Flow Forming Process.” Materials Research Proceedings, Materials Research
Forum LLC, 2023, doi:10.21741/9781644902479-220.
short: 'L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther,
in: Materials Research Proceedings, Materials Research Forum LLC, 2023.'
date_created: 2023-05-02T09:46:20Z
date_updated: 2023-09-25T10:09:06Z
department:
- _id: '156'
- _id: '241'
- _id: '153'
doi: 10.21741/9781644902479-220
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Control strategy for angular gradations by means of the flow forming process
type: conference
user_id: '552'
year: '2023'
...