@incollection{JordanKatzPieper2021,
  author    = {Jordan, Frank and Katz, Christiane and Pieper, Martin},
  title     = {Online-Kollaboration in der Mathematik: Ein Design-Based-Research-Projekt},
  series = {Forschungsimpulse f{\"u}r hybrides Lehren und Lernen an Hochschulen},
  booktitle = {Forschungsimpulse f{\"u}r hybrides Lehren und Lernen an Hochschulen},
  publisher = {TH K{\"o}ln},
  address   = {K{\"o}ln},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:832-cos4-9465},
  pages     = {245 -- 261},
  year      = {2021},
  abstract  = {Die Studie er{\"o}rtert anhand eines Fallbeispiels aus der Mathematik f{\"u}r Ingenieur*innen, wie didaktische Gestaltungsprinzipien f{\"u}r Soziale Pr{\"a}senz, Kollaboration und das L{\"o}sen von praxisnahen Problemen mit mathematischem Denken in einer Online-Umgebung aussehen k{\"o}nnen. Hierf{\"u}r zieht der Beitrag den forschungsmethodologischen Rahmen Design-Based Research (DBR) hinzu und berichtet {\"u}ber Zwischenergebnisse. DBR wird an dieser Stelle als eine systematische Herangehensweise an kurzfristige Lehrver{\"a}nderungen und als Chance auf dem Weg zu einer neuen Hochschullehre nach der COVID-19-Pandemie dargestellt, die theoretische und empirische Erkenntnisse mit Praxisverkn{\"u}pfung und -relevanz vereint.},
  language  = {de}
}
@inproceedings{PfeifferBalcGebhardt2021,
  author    = {Pfeiffer, Johann and Balc, N. and Gebhardt, Andreas},
  title     = {Studie zur Untersuchung der Auswirkung von Fr{\"a}sbahnstrategien auf die Oberfl{\"a}chenqualit{\"a}t von mittels SLM gefertigten Metallteilen},
  series = {Tagungsband 21. Nachwuchswissenschaftler*innenkonferenz},
  booktitle = {Tagungsband 21. Nachwuchswissenschaftler*innenkonferenz},
  publisher = {Verlag Ernst-Abbe-Hochschule Jena},
  address   = {Jena},
  isbn      = {978-3-932886-36-2},
  pages     = {99 -- 102},
  year      = {2021},
  abstract  = {F{\"u}r die Herstellung von metallischen Bauteilen wird in der heutigen Zeit eine Vielzahl von Verfahren auf dem Markt angeboten. Dabei stehen die additiven im Wettbewerb zu den konventionellen Verfahren. Die erreichbaren Oberfl{\"a}chenqualit{\"a}ten der additiven sind nicht mit denen spanender Verfahren vergleichbar. F{\"u}r diesen Beitrag wurde analysiert, ob sich ein mittels Selektivem Laserschmelzen (SLM) additiv hergestellter Edelstahl hinsichtlich seiner Oberfl{\"a}chenqualit{\"a}t nach der Zerspanung von einem umgeformten konventionell hergestellten Edelstahl gleicher Sorte unterscheidet.},
  language  = {de}
}
@inproceedings{EnglhardWeberArent2021,
  author    = {Englhard, Markus and Weber, Tobias and Arent, Jan-Christoph},
  title     = {Efficiency enhancement for CFRP-Prepregautoclave manufacturing by means of simulation-assisted loading optimization},
  series = {Proceedings of SAMPE Europe Conference 2021},
  booktitle = {Proceedings of SAMPE Europe Conference 2021},
  pages     = {8 Seiten},
  year      = {2021},
  abstract  = {A new method for improved autoclave loading within the restrictive framework of helicopter manufacturing is proposed. It is derived from experimental and numerical studies of the curing process and aims at optimizing tooling positions in the autoclave for fast and homogeneous heat-up. The mold positioning is based on two sets of information. The thermal properties of the molds, which can be determined via semi-empirical thermal simulation. The second information is a previously determined distribution of heat transfer coefficients inside the autoclave. Finally, an experimental proof of concept is performed to show a cycle time reduction of up to 31\% using the proposed methodology.},
  language  = {en}
}
@book{Feuerriegel2021,
  author    = {Feuerriegel, Uwe},
  title     = {W{\"a}rme{\"u}bertragung mit EXCEL und VBA: W{\"a}rmetechnische Berechnungen und Simulationen effektiv durchf{\"u}hren und professionell dokumentieren},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-35905-8},
  doi       = {10.1007/978-3-658-35906-5},
  pages     = {XX, 439 Seiten},
  year      = {2021},
  abstract  = {Dieses Lehrbuch vermittelt die Grundlagen der W{\"a}rme{\"u}bertragung sowie den Umgang mit EXCEL-VBA von der Erstellung von Makros bis zu benutzerdefinierten Funktionen. Es legt damit eine Basis f{\"u}r die schnelle und professionelle Durchf{\"u}hrung von Berechnungen und Simulationen. Die angeleitete Erstellung von Berechnungsmodulen mit EXCEL und VBA aus allen wichtigen Bereichen der W{\"a}rme{\"u}bertragung bildet den inhaltlichen Schwerpunkt. Dazu z{\"a}hlen die station{\"a}re W{\"a}rmeleitung und der station{\"a}re W{\"a}rmedurchgang, die instation{\"a}re W{\"a}rmeleitung, der W{\"a}rme{\"u}bergang bei freier und erzwungener Konvektion sowie die W{\"a}rmestrahlung und der W{\"a}rme{\"u}bergang beim Kondensieren und Sieden. Soweit sinnvoll und m{\"o}glich werden die Stoffwertekorrelationen und die Berechnungsvorschriften aus dem VDI-W{\"a}rmeatlas verwendet. F{\"u}r ausgew{\"a}hlte Anwendungen werden zudem komplexere Auslegungen und Simulationen von Prozessen der W{\"a}rme{\"u}bertragung sowie von W{\"a}rme{\"u}bertragern erstellt. Die Zielgruppen: Studierende in Bachelor- und Masterstudieng{\"a}ngen, Praktiker im Engineering},
  language  = {de}
}
@article{EngemannCoenenDawaretal.2021,
  author    = {Engemann, Heiko and C{\"o}nen, Patrick and Dawar, Harshal and Du, Shengzhi and Kallweit, Stephan},
  title     = {A robot-assisted large-scale inspection of wind turbine blades in manufacturing using an autonomous mobile manipulator},
  series = {Applied Sciences},
  volume    = {11},
  journal   = {Applied Sciences},
  number    = {19},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2076-3417},
  doi       = {10.3390/app11199271},
  pages     = {1 -- 22},
  year      = {2021},
  abstract  = {Wind energy represents the dominant share of renewable energies. The rotor blades of a wind turbine are typically made from composite material, which withstands high forces during rotation. The huge dimensions of the rotor blades complicate the inspection processes in manufacturing. The automation of inspection processes has a great potential to increase the overall productivity and to create a consistent reliable database for each individual rotor blade. The focus of this paper is set on the process of rotor blade inspection automation by utilizing an autonomous mobile manipulator. The main innovations include a novel path planning strategy for zone-based navigation, which enables an intuitive right-hand or left-hand driving behavior in a shared human-robot workspace. In addition, we introduce a new method for surface orthogonal motion planning in connection with large-scale structures. An overall execution strategy controls the navigation and manipulation processes of the long-running inspection task. The implemented concepts are evaluated in simulation and applied in a real-use case including the tip of a rotor blade form.},
  language  = {en}
}
@incollection{AltherrLeise2021,
  author    = {Altherr, Lena and Leise, Philipp},
  title     = {Resilience as a concept for mastering uncertainty},
  series = {Mastering Uncertainty in Mechanical Engineering},
  booktitle = {Mastering Uncertainty in Mechanical Engineering},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-78353-2},
  doi       = {10.1007/978-3-030-78354-9},
  pages     = {412 -- 417},
  year      = {2021},
  language  = {en}
}
@incollection{AltherrLeisePfetschetal.2021,
  author    = {Altherr, Lena and Leise, Philipp and Pfetsch, Marc E. and Schmitt, Andreas},
  title     = {Optimal design of resilient technical systems on the example of water supply systems},
  series = {Mastering Uncertainty in Mechanical Engineering},
  booktitle = {Mastering Uncertainty in Mechanical Engineering},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-78356-3},
  pages     = {429 -- 433},
  year      = {2021},
  language  = {en}
}
@incollection{LeiseAltherr2021,
  author    = {Leise, Philipp and Altherr, Lena},
  title     = {Experimental evaluation of resilience metrics in a fluid system},
  series = {Mastering Uncertainty in Mechanical Engineering},
  booktitle = {Mastering Uncertainty in Mechanical Engineering},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-78356-3},
  pages     = {442 -- 447},
  year      = {2021},
  language  = {en}
}
@inproceedings{NikolovskiRekeElsenetal.2021,
  author    = {Nikolovski, Gjorgji and Reke, Michael and Elsen, Ingo and Schiffer, Stefan},
  title     = {Machine learning based 3D object detection for navigation in unstructured environments},
  series = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)},
  booktitle = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)},
  publisher = {IEEE},
  isbn      = {978-1-6654-7921-9},
  doi       = {10.1109/IVWorkshops54471.2021.9669218},
  pages     = {236 -- 242},
  year      = {2021},
  abstract  = {In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.},
  language  = {en}
}
@inproceedings{RitschelStenzelCzarneckietal.2021,
  author    = {Ritschel, Konstantin and Stenzel, Adina and Czarnecki, Christian and Hong, Chin-Gi},
  title     = {Realizing robotic process automation potentials: an architectural perspective on a real-life implementation case},
  series = {GI Edition Proceedings Band 314 "INFORMATIK 2021" Computer Science \& Sustainability},
  booktitle = {GI Edition Proceedings Band 314 "INFORMATIK 2021" Computer Science \& Sustainability},
  editor    = {Gesellschaft f{\"u}r Informatik e.V. (GI),},
  publisher = {K{\"o}llen},
  address   = {Bonn},
  isbn      = {9783885797081},
  issn      = {1617-5468},
  doi       = {10.18420/informatik2021-108},
  pages     = {1303 -- 1311},
  year      = {2021},
  abstract  = {The initial idea of Robotic Process Automation (RPA) is the automation of business processes through a simple emulation of user input and output by software robots. Hence, it can be assumed that no changes of the used software systems and existing Enterprise Architecture (EA) is required. In this short, practical paper we discuss this assumption based on a real-life implementation project. We show that a successful RPA implementation might require architectural work during analysis, implementation, and migration. As practical paper we focus on exemplary lessons-learned and new questions related to RPA and EA.},
  language  = {en}
}