TY  - JOUR
A1  - Harder, Jörn
T1  - A crystallographic model for the study of local deformation processes in polycrystals
JF  - International journal of plasticity. 15 (1999), H. 6
Y1  - 1999
SN  - 0749-6419
N1  - Online: http://opus.tu-bs.de/opus/volltexte/1999/10/pdf/10_1.pdf
SP  - 605
EP  - 624
ER  - 
TY  - JOUR
A1  - Schmitz, Günter
A1  - Roetert, J.
A1  - Pischinger, M.
T1  - A Fast Intelligent VMEbus System for Combustion Analysis in Engines
JF  - 19th [nineteenth] International Symposium on Automotive Technology & [and] Automation : with particular reference to cell control and quality management systems for the manufacturing industries; Monte Carlo, 24. - 28. October 1988.
Y1  - 1988
SN  - 0947719229
SP  - 381
EP  - 391
PB  - Automotive Automation Ltd
CY  - Croydon
ER  - 
TY  - JOUR
A1  - Weber, Tobias
A1  - Arent, Jan-Christoph
A1  - Münch, Lukas
A1  - Duhovic, Miro
A1  - Balvers, Johannes M.
T1  - A fast method for the generation of boundary conditions for thermal autoclave simulation
JF  - Composites Part A
N2  - Manufacturing process simulation enables the evaluation and improvement of autoclave mold concepts early in the design phase. To achieve a high part quality at low cycle times, the thermal behavior of the autoclave mold can be investigated by means of simulations. Most challenging for such a simulation is the generation of necessary boundary conditions. Heat-up and temperature distribution in an autoclave mold are governed by flow phenomena, tooling material and shape, position within the autoclave, and the chosen autoclave cycle. This paper identifies and summarizes the most important factors influencing mold heat-up and how they can be introduced into a thermal simulation. Thermal measurements are used to quantify the impact of the various parameters. Finally, the gained knowledge is applied to develop a semi-empirical approach for boundary condition estimation that enables a simple and fast thermal simulation of the autoclave curing process with reasonably high accuracy for tooling optimization.
Y1  - 2016
U6  - http://dx.doi.org/10.1016/j.compositesa.2016.05.036
SN  - 1359-835X
VL  - 88
SP  - 216
EP  - 225
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - CHAP
A1  - Götten, Falk
A1  - Finger, Felix
A1  - Havermann, Marc
A1  - Braun, Carsten
A1  - Marino, Matthew
A1  - Bil, Cees
T1  - A highly automated method for simulating airfoil characteristics at low Reynolds number using a RANS - transition approach
T2  - Deutscher Luft- und Raumfahrtkongress - DLRK 2019. Darmstadt, Germany
Y1  - 2019
U6  - http://dx.doi.org/10.25967/490026
SP  - 1
EP  - 14
ER  - 
TY  - JOUR
A1  - Ulmer, Jessica
A1  - Braun, Carsten
A1  - Cheng, Chi-Tsun
A1  - Dowey, Steve
A1  - Wollert, Jörg
T1  - A human factors-aware assistance system in manufacturing based on gamification and hardware modularisation
JF  - International Journal of Production Research
N2  - Assistance systems have been widely adopted in the manufacturing sector to facilitate various processes and tasks in production environments. However, existing systems are mostly equipped with rigid functional logic and do not provide individual user experiences or adapt to their capabilities. This work integrates human factors in assistance systems by adjusting the hardware and instruction presented to the workers’ cognitive and physical demands. A modular system architecture is designed accordingly, which allows a flexible component exchange according to the user and the work task. Gamification, the use of game elements in non-gaming contexts, has been further adopted in this work to provide level-based instructions and personalised feedback. The developed framework is validated by applying it to a manual workstation for industrial assembly routines.
KW  - Human factors
KW  - assistance system
KW  - gamification
KW  - adaptive systems
KW  - manufacturing
Y1  - 2023
U6  - http://dx.doi.org/10.1080/00207543.2023.2166140
SN  - 0020-7543 (Print)
SN  - 1366-588X (Online)
PB  - Taylor & Francis
ER  - 
TY  - JOUR
A1  - Konstantinidis, Konstantinos
A1  - Flores Martinez, Claudio
A1  - Dachwald, Bernd
A1  - Ohndorf, Andreas
A1  - Dykta, Paul
A1  - Bowitz, Pascal
A1  - Rudolph, Martin
A1  - Digel, Ilya
A1  - Kowalski, Julia
A1  - Voigt, Konstantin
A1  - Förstner, Roger
T1  - A lander mission to probe subglacial water on Saturn's moon enceladus for life
JF  - Acta astronautica
Y1  - 2015
SN  - 1879-2030 (E-Journal); 0094-5765 (Print)
VL  - Vol. 106
SP  - 63
EP  - 89
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - CHAP
A1  - Kreyer, Jörg
A1  - Müller, Marvin
A1  - Esch, Thomas
T1  - A Map-Based Model for the Determination of Fuel Consumption for Internal Combustion Engines as a Function of Flight Altitude
T2  - Deutscher Luft- und Raumfahrtkongress 2019, „Luft- und Raumfahrt –  technologische Brücke in die Zukunft“,  Darmstadt, 30. September bis 2. Oktober 2019
Y1  - 2020
U6  - http://dx.doi.org/10.25967/490162
PB  - Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V
CY  - Bonn
ER  - 
TY  - JOUR
A1  - Dittus, H.
A1  - Turyshev, S. G.
A1  - Dachwald, Bernd
A1  - Blome, Hans-Joachim
T1  - A Mission to Explore the Pioneer Anomaly
JF  - Proceedings of the 39th ESLAB Symposium "Trends in Space Science and Cosmic Vision 2020" : 19 - 21 April 2005, ESTEC, Noordwijk, the Netherlands / European Space Agency. [Comp. by: F. Favata ...] . - (ESA SP ; 588)
Y1  - 2005
SN  - 9290928999
N1  - ISBN der CD-ROM-Ausg.: 9290928999 ; Symposium Trends in Space Science and Cosmic Vision 2020 <2005, Noordwijk> ; ESLAB symposium <39,2005, Noordwijk> ; European Space Laboratory ; Report Number: LA-UR-05-4907 ; The Pioneer Explorer Collaboration
SP  - 3
EP  - 10
PB  - ESA Publ. Div.
CY  - Noordwijk
ER  - 
TY  - CHAP
A1  - Bagheri, Mohsen
A1  - Schleupen, Josef
A1  - Dahmann, Peter
A1  - Kallweit, Stephan
T1  - A multi-functional device applying for the safe maintenance at high-altitude on wind turbines
T2  - 20th International Conference on Composite Materials : Copenhagen, 19 - 24th July 2015
Y1  - 2015
SP  - 1
EP  - 6
ER  - 
TY  - JOUR
A1  - Khayyam, Hamid
A1  - Jamali, Ali
A1  - Bab-Hadiashar, Alireza
A1  - Esch, Thomas
A1  - Ramakrishna, Seeram
A1  - Jalili, Mahdi
A1  - Naebe, Minoo
T1  - A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling with Application in Industry 4.0
JF  - IEEE Access
N2  - To meet the challenges of manufacturing smart products, the manufacturing plants have been radically changed to become smart factories underpinned by industry 4.0 technologies. The transformation is assisted by employment of machine learning techniques that can deal with modeling both big or limited data. This manuscript reviews these concepts and present a case study that demonstrates the use of a novel intelligent hybrid algorithms for Industry 4.0 applications with limited data. In particular, an intelligent algorithm is proposed for robust data modeling of nonlinear systems based on input-output data. In our approach, a novel hybrid data-driven combining the Group-Method of Data-Handling and Singular-Value Decomposition is adapted to find an offline deterministic model combined with Pareto multi-objective optimization to overcome the overfitting issue. An Unscented-Kalman-Filter is also incorporated to update the coefficient of the deterministic model and increase its robustness against data uncertainties. The effectiveness of the proposed method is examined on a set of real industrial measurements.
Y1  - 2020
U6  - http://dx.doi.org/10.1109/ACCESS.2020.2999898
SN  - 2169-3536
VL  - 8
IS  - Art. 9108222
SP  - 111381
EP  - 111393
PB  - IEEE
CY  - New York, NY
ER  -