TY  - CHAP
A1  - Kemper, Hans
A1  - Hellenbroich, Gereon
A1  - Esch, Thomas
T1  - Concept of an innovative passenger-car hybrid drive for European driving conditions
T2  - Hybrid vehicles and energy management : 6th symposium ; 18th and 19th February 2009, Stadthalle Braunschweig
N2  - The downsizing of spark ignition engines in conjunction with turbocharging is considered to be a promising method for reducing CO₂ emissions. Using this concept, FEV has developed a new, highly efficient drivetrain to demonstrate fuel consumption reduction and drivability in a vehicle based on the Ford Focus ST. The newly designed 1.8L turbocharged gasoline engine incorporates infinitely variable intake and outlet control timing and direct fuel injection utilizing piezo injectors centrally located. In addition, this engine uses a prototype FEV engine control system, with software that was developed and adapted entirely by FEV. The vehicle features a 160 kW engine with a maximum mean effective pressure of 22.4 bar and 34 % savings in simulated fuel consumption. During the first stage, a new electrohydraulically actuated hybrid transmission with seven forward gears and one reverse gear and a single dry starting clutch will be integrated. The electric motor of the hybrid is directly connected to the gear set of the transmission. Utilizing the special gear set layout, the electric motor can provide boost during a change of gears, so that there is no interruption in traction. Therefore, the transmission system combines the advantages of a double clutch controlled gear change (gear change without an interruption in traction) with the efficient, cost-effective design of an automated manual transmission system. Additionally, the transmission provides a purely electric drive system and the operation of an air-conditioning compressor during the engine stop phases. One other alternative is through the use of CAI (Controlled Auto Ignition), which incorporates a process developed by FEV for controlled compression ignition.
Y1  - 2009
SN  - 978-3-937655-20-8
SP  - 264
EP  - 287
PB  - Gesamtzentrum für Verkehr (GZVB)
CY  - Braunschweig
ER  - 
TY  - JOUR
A1  - Kezerashvili, Roman Ya
A1  - Dachwald, Bernd
T1  - Preface: Solar sailing: Concepts, technology, and missions II
JF  - Advances in Space Research
Y1  - 2021
U6  - http://dx.doi.org/10.1016/j.asr.2021.01.037
SN  - 0273-1177
VL  - 67
IS  - 9
SP  - 2559
EP  - 2560
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Khayyam, Hamid
A1  - Jamali, Ali
A1  - Bab-Hadiashar, Alireza
A1  - Esch, Thomas
A1  - Ramakrishna, Seeram
A1  - Jalil, Mahdi
A1  - Naebe, Minoo
T1  - A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modelling 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
SN  - 2169-3536
U6  - http://dx.doi.org/10.1109/ACCESS.2020.2999898
SP  - 1
EP  - 12
PB  - IEEE
CY  - New York, NY
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  - 
TY  - CHAP
A1  - Kleine, Harald
A1  - Kallweit, Stephan
A1  - Michaux, Frank
A1  - Havermann, Marc
A1  - Olivier, Herbert
T1  - PIV Measurement of Shock Wave Diffraction
T2  - 18th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2016, Lissabon
Y1  - 2016
SP  - 1
EP  - 14
ER  - 
TY  - CHAP
A1  - Knobloch, V.
A1  - Kowalski, Julia
A1  - Bösiger, P.
A1  - Kozerke, S.
T1  - Probabilistic Streamline Estimation from Accelerated Fourier Velocity Encoded Measurements
T2  - Proceedings of the 19th ISMRM International Society for Magnetic Resonance in Medicine
Y1  - 2011
N1  - ISMRM 19th Annual Meeting & Exhibition in Montréal, Québec, Canada
SP  - 1215
EP  - 1215
ER  - 
TY  - JOUR
A1  - Koch, Christopher
A1  - Böhnisch, Nils
A1  - Verdonck, Hendrik
A1  - Hach, Oliver
A1  - Braun, Carsten
T1  - Comparison of unsteady low- and mid-fidelity propeller aerodynamic methods for whirl flutter applications
JF  - Applied Sciences
N2  - Aircraft configurations with propellers have been drawing more attention in recent times, partly due to new propulsion concepts based on hydrogen fuel cells and electric motors. These configurations are prone to whirl flutter, which is an aeroelastic instability affecting airframes with elastically supported propellers. It commonly needs to be mitigated already during the design phase of such configurations, requiring, among other things, unsteady aerodynamic transfer functions for the propeller. However, no comprehensive assessment of unsteady propeller aerodynamics for aeroelastic analysis is available in the literature. This paper provides a detailed comparison of nine different low- to mid-fidelity aerodynamic methods, demonstrating their impact on linear, unsteady aerodynamics, as well as whirl flutter stability prediction. Quasi-steady and unsteady methods for blade lift with or without coupling to blade element momentum theory are evaluated and compared to mid-fidelity potential flow solvers (UPM and DUST) and classical, derivative-based methods. Time-domain identification of frequency-domain transfer functions for the unsteady propeller hub loads is used to compare the different methods. Predictions of the minimum required pylon stiffness for stability show good agreement among the mid-fidelity methods. The differences in the stability predictions for the low-fidelity methods are higher. Most methods studied yield a more unstable system than classical, derivative-based whirl flutter analysis, indicating that the use of more sophisticated aerodynamic modeling techniques might be required for accurate whirl flutter prediction.
KW  - Aeroelasticity
KW  - Flutter
KW  - Propeller whirl flutter
KW  - Unsteady aerodynamics
KW  - 1P hub loads
Y1  - 2024
U6  - http://dx.doi.org/10.3390/app14020850
SN  - 2076-3417
VL  - 14
IS  - 2
SP  - 1
EP  - 28
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Konstantinidis, K.
A1  - Dachwald, Bernd
A1  - Ohndorf, A.
A1  - Dykta, P.
A1  - Voigt, K.
A1  - Förstner, R.
T1  - Enceladus explorer (ENEX): A lander mission to probe subglacial water pockets on Saturn's moon enceladus for life
T2  - 64th International Astronautical Congress 2013 (IAC 2013) : Beijing, China, 23 - 27 September 2013. (Proceedings of the International Astronautical Congress, IAC ; 2)
Y1  - 2013
SN  - 978-1-62993-909-4
SP  - 1340
EP  - 1350
PB  - Curran
CY  - Red Hook, NY
ER  - 
TY  - CHAP
A1  - Konstantinidis, K.
A1  - Kowalski, Julia
A1  - Martinez, C. F.
A1  - Dachwald, Bernd
A1  - Ewerhart, D.
A1  - Förstner, R.
T1  - Some necessary technologies for in-situ astrobiology on enceladus
T2  - Proceedings of the International Astronautical Congress
Y1  - 2015
SN  - 978-151081893-4
N1  - 6th International Astronautical Congress 2015: Space - The Gateway for Mankind's Future, IAC 2015; Jerusalem; Israel; 12 October 2015 through 16 October 2015
SP  - 1354
EP  - 1372
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  - Korsch, Helge
A1  - Dafnis, Athanasios
A1  - Reimerdes, Hans-Günther
A1  - Braun, Carsten
A1  - Ballmann, Josef
T1  - Dynamic qualification of the HIRENASD elastic wing model
T2  - Motto: Luft- und Raumfahrt: Lehre, Forschung, Industrie - gemeinsam innovativ. Deutscher Luft- und Raumfahrtkongress 2006 : Braunschweig, 06. bis 09. November 2006. Jahrbuch / Deutsche Gesellschaft für Luft- und Raumfahrt. 2006
Y1  - 2006
SP  - 1441
EP  - 1450
PB  - Dt. Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth (DGLR)
CY  - Bonn
ER  - 
TY  - THES
A1  - Kowalski, Julia
T1  - Streamline estimation from sparsely sampled q-space Magnetic Resonance data
Y1  - 2010
N1  - Master Thesis in Medical Physics, ETH Zurich
ER  - 
TY  - JOUR
A1  - Kowalski, Julia
T1  - Mathematische Murgangmodellierung
JF  - Newsletter Naturgefahren
Y1  - 2008
VL  - 2008
IS  - 2
SP  - 4
EP  - 5
ER  - 
TY  - THES
A1  - Kowalski, Julia
T1  - Two-phase Modeling of Debris Flows
Y1  - 2008
SN  - 978-3-86664-524-0
N1  - Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 17827, 2008
PB  - Mensch und Buch
CY  - Berlin
ER  - 
TY  - GEN
A1  - Kowalski, Julia
T1  - Dynamics of Granular Material Avalanches and Numerical Approximations of Savage-Hutter Models
Y1  - 2004
N1  - Diploma Thesis, University of Augsburg
ER  - 
TY  - CHAP
A1  - Kowalski, Julia
T1  - Numerical Debris Flow Simulation
T2  - Schweizer Numerik Kolloquium : Book of Abstracts 12. April 2006
Y1  - 2006
ER  - 
TY  - CHAP
A1  - Kowalski, Julia
A1  - Bartelt, Perry
A1  - McElwaine, J.
T1  - Two-phase debris flow modeling
T2  - Geophysical Research Abstracts
Y1  - 2007
N1  - A-08119
ER  - 
TY  - CHAP
A1  - Kowalski, Julia
A1  - Bugnion, Louis
T1  - An extended shallow flow theory for natural debris flows
Y1  - 2009
N1  - 2009 Portland GSA Annual Meeting (18-21 October 2009); Geological Society of America
VL  - 41
IS  - 7
SP  - 609
EP  - 609
ER  - 
TY  - JOUR
A1  - Kowalski, Julia
A1  - Linder, Peter
A1  - Zierke, S.
A1  - Wulfen, B. van
A1  - Clemens, J.
A1  - Konstantinidis, K.
A1  - Ameres, G.
A1  - Hoffmann, R.
A1  - Mikucki, J.
A1  - Tulaczyk, S.
A1  - Funke, O.
A1  - Blandfort, D.
A1  - Espe, Clemens
A1  - Feldmann, Marco
A1  - Francke, Gero
A1  - Hiecker, S.
A1  - Plescher, Engelbert
A1  - Schöngarth, Sarah
A1  - Dachwald, Bernd
A1  - Digel, Ilya
A1  - Artmann, Gerhard
A1  - Eliseev, D.
A1  - Heinen, D.
A1  - Scholz, F.
A1  - Wiebusch, C.
A1  - Macht, S.
A1  - Bestmann, U.
A1  - Reineking, T.
A1  - Zetzsche, C.
A1  - Schill, K.
A1  - Förstner, R.
A1  - Niedermeier, H.
A1  - Szumski, A.
A1  - Eissfeller, B.
A1  - Naumann, U.
A1  - Helbing, K.
T1  - Navigation technology for exploration of glacier ice with maneuverable melting probes
JF  - Cold Regions Science and Technology
N2  - The Saturnian moon Enceladus with its extensive water bodies underneath a thick ice sheet cover is a potential candidate for extraterrestrial life. Direct exploration of such extraterrestrial aquatic ecosystems requires advanced access and sampling technologies with a high level of autonomy. A new technological approach has been developed as part of the collaborative research project Enceladus Explorer (EnEx). The concept is based upon a minimally invasive melting probe called the IceMole. The force-regulated, heater-controlled IceMole is able to travel along a curved trajectory as well as upwards. Hence, it allows maneuvers which may be necessary for obstacle avoidance or target selection. Maneuverability, however, necessitates a sophisticated on-board navigation system capable of autonomous operations. The development of such a navigational system has been the focal part of the EnEx project. The original IceMole has been further developed to include relative positioning based on in-ice attitude determination, acoustic positioning, ultrasonic obstacle and target detection integrated through a high-level sensor fusion. This paper describes the EnEx technology and discusses implications for an actual extraterrestrial mission concept.
Y1  - 2016
U6  - http://dx.doi.org/10.1016/j.coldregions.2015.11.006
SN  - 0165-232X
IS  - 123
SP  - 53
EP  - 70
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - CHAP
A1  - Kowalski, Julia
A1  - McArdell, B. W.
A1  - Bartelt, Perry
T1  - A comparison of two approaches to modeling multiphase gravity currents
T2  - Geophysical Research Abstracts
Y1  - 2006
N1  - A-08738
VL  - 8
ER  -