TY - JOUR A1 - Funke, Harald A1 - Beckmann, Nils A1 - Keinz, Jan A1 - Abanteriba, Sylvester T1 - Numerical and Experimental Evaluation of a Dual-Fuel Dry-Low-NOx Micromix Combustor for Industrial Gas Turbine Applications JF - Journal of Thermal Science and Engineering Applications Y1 - 2019 U6 - http://dx.doi.org/10.1115/1.4041495 SN - 19485085 N1 - Paper No: GT2017-64795 VL - 11 IS - 1 SP - 011015 PB - ASME CY - New York ER - TY - CHAP A1 - Schildt, Philipp A1 - Marzocca, Pier A1 - Braun, Carsten A1 - Dahmann, Peter A1 - Keimer, Jona T1 - Effects of atmospheric excitation on vibration based condition monitoring methods for hybrid-electric aircraft propulsion systems T2 - AIAC 2018: 18th Australian International Aerospace Congress: HUMS - 11th Defence Science and Technology (DST) International Conference on Health and Usage Monitoring (HUMS 2019): ISSFD - 27th International Symposium on Space Flight Dynamics (ISSFD) Y1 - 2019 SN - 9781925627213 SP - 923 EP - 928 ER - TY - CHAP A1 - Dachwald, Bernd A1 - Ohndorf, Andreas T1 - Global optimization of continuous-thrust trajectories using evolutionary neurocontrol T2 - Modeling and Optimization in Space Engineering N2 - Searching optimal continuous-thrust trajectories is usually a difficult and time-consuming task. The solution quality of traditional optimal-control methods depends strongly on an adequate initial guess because the solution is typically close to the initial guess, which may be far from the (unknown) global optimum. Evolutionary neurocontrol attacks continuous-thrust optimization problems from the perspective of artificial intelligence and machine learning, combining artificial neural networks and evolutionary algorithms. This chapter describes the method and shows some example results for single- and multi-phase continuous-thrust trajectory optimization problems to assess its performance. Evolutionary neurocontrol can explore the trajectory search space more exhaustively than a human expert can do with traditional optimal-control methods. Especially for difficult problems, it usually finds solutions that are closer to the global optimum. Another fundamental advantage is that continuous-thrust trajectories can be optimized without an initial guess and without expert supervision. Y1 - 2019 SN - 978-3-030-10501-3 SN - 978-3-030-10500-6 U6 - http://dx.doi.org/10.1007/978-3-030-10501-3_2 N1 - Springer Optimization and Its Applications, vol 144 gedruckt unter der Signatur 21 ZSS 46 in der Bereichsbibliothek Eupener Str. vorhanden SP - 33 EP - 57 PB - Springer CY - Cham ER - TY - JOUR A1 - Lyons, W. Berry A1 - Mikucki, Jill A. A1 - German, Laura A. A1 - Welch, Kathleen A. A1 - Welch, Susan A. A1 - Gardener, Christopher B. A1 - Tulaczyk, Slawek M. A1 - Pettit, Erin C. A1 - Kowalski, Julia A1 - Dachwald, Bernd T1 - The Geochemistry of Englacial Brine from Taylor Glacier, Antarctica JF - Journal of Geophysical Research: Biogeosciences Y1 - 2019 U6 - http://dx.doi.org/10.1029/2018JG004411 SN - 2169-8961 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Campen, R. A1 - Kowalski, Julia A1 - Lyons, W.B. A1 - Tulaczyk, S. A1 - Dachwald, Bernd A1 - Pettit, E. A1 - Welch, K. A. A1 - Mikucki, J.A. T1 - Microbial diversity of an Antarctic subglacial community and high‐resolution replicate sampling inform hydrological connectivity in a polar desert JF - Environmental Microbiology Y1 - 2019 U6 - http://dx.doi.org/10.1111/1462-2920.14607 SN - 1462-2920 IS - accepted article PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Jan Thimo, Grundmann A1 - Bauer, Waldemar A1 - Biele, Jens A1 - Boden, Ralf A1 - Ceriotti, Matteo A1 - Cordero, Federico A1 - Dachwald, Bernd A1 - Dumont, Etienne A1 - Grimm, Christian D. A1 - Hercik, David T1 - Capabilities of Gossamer-1 derived small spacecraft solar sails carrying Mascot-derived nanolanders for in-situ surveying of NEAs JF - Acta Astronautica Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.actaastro.2018.03.019 SN - 0094-5765 VL - 156 IS - 3 SP - 330 EP - 362 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Funke, Harald A1 - Beckmann, Nils A1 - Abanteriba, Sylvester T1 - An overview on dry low NOx micromix combustor development for hydrogen-rich gas turbine applications JF - International Journal of Hydrogen Energy Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.ijhydene.2019.01.161 SN - 0360-3199 VL - 44 IS - 13 SP - 6978 EP - 6990 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Thoma, Andreas A1 - Ravi, Sridhar T1 - Significance of parallel computing on the performance of Digital Image Correlation algorithms in MATLAB N2 - Digital Image Correlation (DIC) is a powerful tool used to evaluate displacements and deformations in a non-intrusive manner. By comparing two images, one of the undeformed reference state of a specimen and another of the deformed target state, the relative displacement between those two states is determined. DIC is well known and often used for post-processing analysis of in-plane displacements and deformation of specimen. Increasing the analysis speed to enable real-time DIC analysis will be beneficial and extend the field of use of this technique. Here we tested several combinations of the most common DIC methods in combination with different parallelization approaches in MATLAB and evaluated their performance to determine whether real-time analysis is possible with these methods. To reflect improvements in computing technology different hardware settings were also analysed. We found that implementation problems can reduce the efficiency of a theoretically superior algorithm such that it becomes practically slower than a suboptimal algorithm. The Newton-Raphson algorithm in combination with a modified Particle Swarm algorithm in parallel image computation was found to be most effective. This is contrary to theory, suggesting that the inverse-compositional Gauss-Newton algorithm is superior. As expected, the Brute Force Search algorithm is the least effective method. We also found that the correct choice of parallelization tasks is crucial to achieve improvements in computing speed. A poorly chosen parallelisation approach with high parallel overhead leads to inferior performance. Finally, irrespective of the computing mode the correct choice of combinations of integerpixel and sub-pixel search algorithms is decisive for an efficient analysis. Using currently available hardware realtime analysis at high framerates remains an aspiration. Y1 - 2019 SP - 1 EP - 17 ER - TY - JOUR A1 - Schildt, Ph. A1 - Braun, Carsten A1 - Marzocca, P. T1 - Metric evaluating potentials of condition-monitoring approaches for hybrid electric aircraft propulsion systems JF - CEAS Aeronautical Journal Y1 - 2019 U6 - http://dx.doi.org/10.1007/s13272-019-00411-3 SN - 1869-5590 SP - 1 EP - 14 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schael, S. A1 - Atanasyan, A. A1 - Berdugo, J. A1 - Bretz, T. A1 - Czupalla, Markus A1 - Dachwald, Bernd A1 - Doetinchem, P. von A1 - Duranti, M. A1 - Gast, H. A1 - Karpinski, W. A1 - Kirn, T. A1 - Lübelsmeyer, K. A1 - Maña, C. A1 - Marrocchesi, P.S. A1 - Mertsch, P. A1 - Moskalenko, I.V. A1 - Schervan, T. A1 - Schluse, M. A1 - Schröder, K.-U. A1 - Schultz von Dratzig, A. A1 - Senatore, C. A1 - Spies, L. A1 - Wakely, S.P. A1 - Wlochal, M. A1 - Uglietti, D. A1 - Zimmermann, J. T1 - AMS-100: The next generation magnetic spectrometer in space – An international science platform for physics and astrophysics at Lagrange point 2 JF - Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.nima.2019.162561 SN - 0168-9002 VL - 944 IS - 162561 PB - Elsevier CY - Amsterdam ER -