@inproceedings{OttenGerhardsSchleseretal.2019, author = {Otten, Christian and Gerhards, Benjamin and Schleser, Markus and Schwarz, A. and Gebhardt, Andreas}, title = {Innovative Laserschweißtechnologie f{\"u}r additiv gefertigte Bauteile}, series = {Große Schweißtechnische Tagung}, booktitle = {Große Schweißtechnische Tagung}, publisher = {DVS-Media}, address = {D{\"u}sseldorf}, isbn = {978-3-96144-066-5}, pages = {150 -- 157}, year = {2019}, language = {de} } @inproceedings{UlmerLaiChengetal.2019, author = {Ulmer, Jessica and Lai, Chow Yin and Cheng, Chi-Tsun and Wollert, J{\"o}rg}, title = {Integration von VR und AR in Produktlebenszyklen - Eine {\"U}bersicht {\"u}ber die Nutzung virtueller Technologien im industriellen Umfeld}, series = {Automation 2019}, booktitle = {Automation 2019}, pages = {1 -- 12}, year = {2019}, language = {de} } @inproceedings{UlmerBraunLaietal.2019, author = {Ulmer, Jessica and Braun, Sebastian and Lai, Chow Yin and Cheng, Chi-Tsun and Wollert, J{\"o}rg}, title = {Generic integration of VR and AR in product lifecycles based on CAD models}, series = {Proceedings of The 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019}, booktitle = {Proceedings of The 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019}, year = {2019}, language = {en} } @inproceedings{EngemannBadriWenningetal.2019, author = {Engemann, Heiko and Badri, Sriram and Wenning, Marius and Kallweit, Stephan}, title = {Implementation of an Autonomous Tool Trolley in a Production Line}, series = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980}, booktitle = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-19648-6}, doi = {10.1007/978-3-030-19648-6_14}, pages = {117 -- 125}, 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} } @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{KunkelGebhardtMpofuetal.2019, author = {Kunkel, Maximilian Hugo and Gebhardt, Andreas and Mpofu, Khumbulani and Kallweit, Stephan}, title = {Quality assurance in metal powder bed fusion via deep-learning-based image classification}, series = {Rapid Prototyping Journal}, volume = {26}, journal = {Rapid Prototyping Journal}, number = {2}, issn = {1355-2546}, doi = {10.1108/RPJ-03-2019-0066}, pages = {259 -- 266}, year = {2019}, language = {en} } @book{GebhardtKesslerThurn2019, author = {Gebhardt, Andreas and Kessler, Julia and Thurn, Laura}, title = {3D printing : understanding additive manufacturing}, edition = {2. Auflage}, publisher = {Hanser}, address = {M{\"u}nchen}, isbn = {978-1-56990-702-3}, pages = {XVI, 204 Seiten}, year = {2019}, language = {en} } @article{Wollert2018, author = {Wollert, J{\"o}rg}, title = {TSN - Schluss mit dem Feldbuskrieg?}, series = {Design \& Elektronik}, journal = {Design \& Elektronik}, number = {3}, publisher = {WEKA-Fachmedien}, address = {M{\"u}nchen}, issn = {0933-8667}, pages = {26 -- 31}, year = {2018}, language = {de} } @article{MichauxMatternKallweit2018, author = {Michaux, F. and Mattern, P. and Kallweit, Stephan}, title = {RoboPIV: how robotics enable PIV on a large industrial scale}, series = {Measurement Science and Technology}, volume = {29}, journal = {Measurement Science and Technology}, number = {7}, publisher = {IOP}, address = {Bristol}, issn = {1361-6501}, doi = {10.1088/1361-6501/aab5c1}, pages = {074009}, year = {2018}, abstract = {This work demonstrates how the interaction between particle image velocimetry (PIV) and robotics can massively increase measurement efficiency. The interdisciplinary approach is shown using the complex example of an automated, large scale, industrial environment: a typical automotive wind tunnel application. Both the high degree of flexibility in choosing the measurement region and the complete automation of stereo PIV measurements are presented. The setup consists of a combination of three robots, individually used as a 6D traversing unit for the laser illumination system as well as for each of the two cameras. Synchronised movements in the same reference frame are realised through a master-slave setup with a single interface to the user. By integrating the interface into the standard wind tunnel management system, a single measurement plane or a predefined sequence of several planes can be requested through a single trigger event, providing the resulting vector fields within minutes. In this paper, a brief overview on the demands of large scale industrial PIV and the existing solutions is given. Afterwards, the concept of RoboPIV is introduced as a new approach. In a first step, the usability of a selection of commercially available robot arms is analysed. The challenges of pose uncertainty and importance of absolute accuracy are demonstrated through comparative measurements, explaining the individual pros and cons of the analysed systems. Subsequently, the advantage of integrating RoboPIV directly into the existing wind tunnel management system is shown on basis of a typical measurement sequence. In a final step, a practical measurement procedure, including post-processing, is given by using real data and results. Ultimately, the benefits of high automation are demonstrated, leading to a drastic reduction in necessary measurement time compared to non-automated systems, thus massively increasing the efficiency of PIV measurements.}, language = {en} }