@article{FrankoDuKallweitetal.2020, author = {Franko, Josef and Du, Shengzhi and Kallweit, Stephan and Duelberg, Enno Sebastian and Engemann, Heiko}, title = {Design of a Multi-Robot System for Wind Turbine Maintenance}, series = {Energies}, volume = {13}, journal = {Energies}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {10.3390/en13102552}, pages = {Article 2552}, year = {2020}, abstract = {The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision and LiDAR sensors for global inspection are used to guide slower climbing robots. Light-weight magnetic climbers with surface contact were used to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future.}, language = {en} } @article{PfaffGidaszewskiSchmidt2020, author = {Pfaff, Raphael and Gidaszewski, Lars and Schmidt, Bernd}, title = {Ber{\"u}cksichtigung von No Fault Found im Diagnose- und Instandhaltungssystem von Schienenfahrzeugen}, series = {ETR - Eisenbahntechnische Rundschau}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {5}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {56 -- 59}, year = {2020}, abstract = {Intermittierende und nicht reproduzierbare Fehler, auch als No Fault Found bezeichnet, treten in praktisch allen Bereichen auf und sorgen f{\"u}r hohe Kosten. Diese sind h{\"a}ufig auf unpr{\"a}zise Fehlerbeschreibungen zur{\"u}ckzuf{\"u}hren. Im vorliegenden Beitrag werden Anpassungen der Vorgehensweise bei der Entwicklung und Anpassungen des Diagnosesystems vorgeschlagen.}, language = {de} } @article{EngelnMuellges1982, author = {Engeln-M{\"u}llges, Gisela}, title = {Entartungsbedingungen f{\"u}r Gleitfl{\"a}chennomogramme und Nomographierbarkeitsbedingungen f{\"u}r Fluchtebenennomogramme}, series = {ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift f{\"u}r Angewandte Mathematik und Mechanik}, volume = {62}, journal = {ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift f{\"u}r Angewandte Mathematik und Mechanik}, number = {2}, issn = {1521-4001}, doi = {10.1002/zamm.19820620203}, pages = {77 -- 93}, year = {1982}, language = {de} } @article{WilbringEnningPfaffetal.2020, author = {Wilbring, Daniela and Enning, Manfred and Pfaff, Raphael and Schmidt, Bernd}, title = {Neue Perspektiven f{\"u}r die Bahn in der Produktions- und Distributionslogistik durch Prozessautomation}, series = {ETR - Eisenbahntechnische Rundschau}, volume = {69}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {3}, issn = {0013-2845}, pages = {15 -- 19}, year = {2020}, language = {de} } @article{CosmaKesslerGebhardtetal.2020, author = {Cosma, Cosmin and Kessler, Julia and Gebhardt, Andreas and Campbell, Ian and Balc, Nicolae}, title = {Improving the Mechanical Strength of Dental Applications and Lattice Structures SLM Processed}, series = {Materials}, volume = {13}, journal = {Materials}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {1996-1944}, doi = {10.3390/ma13040905}, pages = {1 -- 18}, year = {2020}, abstract = {To manufacture custom medical parts or scaffolds with reduced defects and high mechanical characteristics, new research on optimizing the selective laser melting (SLM) parameters are needed. In this work, a biocompatible powder, 316L stainless steel, is characterized to understand the particle size, distribution, shape and flowability. Examination revealed that the 316L particles are smooth, nearly spherical, their mean diameter is 39.09 μm and just 10\% of them hold a diameter less than 21.18 μm. SLM parameters under consideration include laser power up to 200 W, 250-1500 mm/s scanning speed, 80 μm hatch spacing, 35 μm layer thickness and a preheated platform. The effect of these on processability is evaluated. More than 100 samples are SLM-manufactured with different process parameters. The tensile results show that is possible to raise the ultimate tensile strength up to 840 MPa, adapting the SLM parameters for a stable processability, avoiding the technological defects caused by residual stress. Correlating with other recent studies on SLM technology, the tensile strength is 20\% improved. To validate the SLM parameters and conditions established, complex bioengineering applications such as dental bridges and macro-porous grafts are SLM-processed, demonstrating the potential to manufacture medical products with increased mechanical resistance made of 316L.}, language = {en} } @article{Thomas2019, author = {Thomas, Axel}, title = {Die Wiederbelebung der Mitarbeiterwohnungsidee bei kommunalen Unternehmen}, series = {VM Verwaltung und Management}, volume = {25}, journal = {VM Verwaltung und Management}, number = {6}, publisher = {Nomos-Verl.-Ges.}, address = {Baden-Baden}, issn = {0947-9856}, doi = {10.5771/0947-9856-2019-6-286}, pages = {286 -- 291}, year = {2019}, language = {de} } @article{WilbringEnning2019, author = {Wilbring, Daniela and Enning, Manfred}, title = {Stromversorgung auf G{\"u}terwagen - Aktuelle Bem{\"u}hungen zur Standardisierung}, series = {ETR - Eisenbahntechnische Rundschau}, volume = {68}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {11}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {64 -- 67}, year = {2019}, language = {de} } @article{PancContiuBocanetetal.2019, author = {Panc, Nicolae and Contiu, Glad and Bocanet, Vlad and Thurn, Laura and Sabau, Emilia}, title = {The influence of cutting technology on surface wear hardness}, series = {Academic Journal of Manufacturing Engineering}, volume = {17}, journal = {Academic Journal of Manufacturing Engineering}, number = {3}, issn = {1583-7904}, pages = {205 -- 210}, year = {2019}, language = {en} } @article{BucurLazarescuPopetal.2019, author = {Bucur, Alexandru and Lazarescu, Lucian and Pop, Grigore Marian and Achimas, Gheorghe and Gebhardt, Andreas}, title = {Tribological performance of biodegradable lubricants under different surface roughness of tools}, series = {Academic Journal of Manufacturing Engineering}, volume = {17}, journal = {Academic Journal of Manufacturing Engineering}, number = {1}, issn = {1583-7904}, pages = {172 -- 178}, year = {2019}, language = {en} } @article{SchwarzGebhardtSchleseretal.2019, author = {Schwarz, Alexander and Gebhardt, Andreas and Schleser, Markus and Popoola, Patricia}, title = {New Welding Joint Geometries Manufactured by Powder Bed Fusion from 316L}, series = {Materials Performance and Characterization 8}, journal = {Materials Performance and Characterization 8}, number = {in press}, issn = {2379-1365}, doi = {10.1520/MPC20180096}, year = {2019}, language = {en} }