Introducing Artificial Neural Networtks to predict the dimensional and micro-geometrial deviations of additively manufactured parts
Vendittoli, Valentina; Polini, Wilma; Walter, Michael S. J.; Geißelsöder, Stefan (2024)
Procedia CIRP 129, 181-186.
DOI: 10.1016/j.procir.2024.10.032
Open Access Peer Reviewed
The dependencies between process parameters and the resulting geometrical accuracy of additively manufactured parts are usually highly non-linear and thus complex to investigate and mathematically quantify. Therefore, the application of artificial intelligence techniques is promising to generate mathematical models that reduce effort and increase the prediction quality. The overall goal is to establish a procedure to automatically determine the optimal settings of the manufacturing process parameters to guarantee the highest geometrical accuracy of parts in additive manufactured production. This paper presents the first step towards this fully automatic procedure – the training and evaluation of a mathematical model based on artificial neural networks to quantify the effects of varying process parameters of a material extrusion process on both macro- and micro-geometrical performances. Therefore, a dataset is established based on the Design of Experiment of an additively manufactured part made from Polylactic Acid filament. The dataset is then used to train an artificial neural network that predicts the dimensional and micro-geometrical deviations of the manufactured parts. Finally, the evaluation of the network's prediction quality and reliability indicate that it is possible to predict the parameters linked to resulting print quality with a mean absolute error from 0.0004 to 0.036.
Goldmedaille der Erfindermesse iENA für die Erfindung „BioSpalt“
Reimann, Hans-Achim; Häfner, Philipp (2024)
iENA 2024 - Internationale Fachmesse Ideen • Erfindungen • Neuheiten.
China Association of Inventions (CAI) Award “Invention &für die Erfindung „BioSpalt“
Reimann, Hans-Achim; Häfner, Philipp (2024)
Verliehen durch die China Association of Inventions im Rahmen der iENA 2024 - Internationale Fachmesse Ideen • Erfindungen • Neuheiten.
Hinweisgeberschutzgesetz - Praxishandbuch für interne Meldestellenbeauftragte
Fehr, Stefanie; Hüsener, Marco; Refenius, Kevin (2024)
Rehm Verlag, 1. Auflage.
DyCA and DMD: Differences and Similarities in Theory and Application
Uhl, Christian; Stiehl, Annika; Weeger, Nicolas (2024)
SIAM Conference on Mathematics of Data Science (MDS24) 2024.
Peer Reviewed
Führen emotional programmierte Serviceroboter zu einem Mehrwert in Messegesprächen? Ergebnisse einer experimentellen Untersuchung unter Einsatz des sozialen Roboters Furhat
Piazza, Alexander; Riedmüller, Florian; Wild, Judith (2024)
HMD Praxis der Wirtschaftsinformatik 62, 613 - 632.
DOI: 10.1365/s40702-024-01117-9
Open Access Peer Reviewed
Nach der Corona-Pandemie haben Messeveranstaltungen als physische Interaktionsplattformen der Fachöffentlichkeit zu alter Stärke zurückgefunden. Die Digitalisierung erweitert die Angebote auf den Messen über Virtual Reality, Augmented Reality, Robotik und den Einsatz von künstlicher Intelligenz (KI). Bei der Programmierung von Messerobotern mit Unterstützung von KI stellt sich die Frage, wie emotional die Mensch-Roboter Interaktion gestaltet werden sollen. Aus der Forschung zur Robotik im Pflegebereich ist z. B. bekannt, dass emotional programmierte Roboter einen Zusatznutzen für die Anwender bringen. Aber gilt das auch für ein Messegespräch, in dem die emotional-menschliche Komponente Vertrauensfördernd wirket soll? Dazu wurde die folgende Forschungsfrage untersucht: „Inwiefern beeinflussen Emotionen als Teil der nonverbalen Interaktion im Rahmen der Mensch-Roboter-Interaktion die Akzeptanz von sozialen Robotern bei Messegesprächen?“ Zur Beantwortung der Forschungsfrage wurde ein Laborexperiment durchgeführt. Es wurde eine emotional und eine sachlich programmierte Version des Furhat-Roboters konzipiert, mit denen Probanden im Rahmen eines Messegesprächs interagiert haben. Nach Auswertung der Ergebnisse konnten kaum signifikanten Unterschiede in der Akzeptanz zwischen der emotionalen und der sachlichen Roboterversion festgestellt werden. Mögliche Investition in emotionale Programmierungselemente von Robotern im Messeeinsatz sollten nach diesen Ergebnissen hinterfragt werden.
Disentangling dynamic and stochastic modes in multivariate time series
Uhl, Christian; Stiehl, Annika; Weeger, Nicolas; Schlarb, Markus; Hüper, Knut (2024)
Frontiers in Applied Mathematics and Statistics 10.
DOI: 10.3389/fams.2024.1456635
Open Access Peer Reviewed
DyCA - Dynamical Component Analysis: Theory and Applications
Uhl, Christian (2024)
Physics Colloquium, Department of Pysics in partnership with Center of Complex Systems, Florida Atlantic University, Boca Raton, Florida, USA.
Addressing surface quality via seam alignment parametrization
Irimia, Alexandru Ionut; Ermolai, Vasile; Nagit, Gheorghe; Mihalache, Andrei Marius; Ripanu, Marius-Ionut; Stavarache, Răzvan Cosmin (2024)
Irimia, Alexandru Ionut; Ermolai, Vasile; Nagit, Gheorghe; Mihalache, Andrei Marius...
Innovative Manufacturing Engineering and Energy, Materials Research Proceedings, Athens, Greece, 41-48.
DOI: 10.21741/9781644903377-6
Open Access Peer Reviewed
XYZ calibration cube – A misleading tool for achieving print accuracy
Ermolai, Vasile; Merticaru, Vasile; Irimia, Alexandru Ionut; Mihalache, Andrei Marius; Sover, Alexandru; Mititelu, Nicolae-Răzvan ; Pista, Ionuț-Mădălin (2024)
Ermolai, Vasile; Merticaru, Vasile; Irimia, Alexandru Ionut; Mihalache, Andrei Marius...
Materials Research Proceedings, Athens, Greece 46, 23-24.
DOI: 10.21741/9781644903377-4
Open Access Peer Reviewed
Mechanical behavior of macroscopic interfaces for 3D printed multi-material samples made of dissimilar materials
Sover, Alexandru; Boca, Marius-Andrei; Ermolai, Vasile; Mihalache, Andrei Marius; Irimia, Alexandru Ionuț; Hrițuc, Adelina; Slătineanu, Laurențiu; Nagîț, Gheorghe; Stavarache, Răzvan Cosmin (2024)
Sover, Alexandru; Boca, Marius-Andrei; Ermolai, Vasile; Mihalache, Andrei Marius...
Mechanics & Industry - Advanced Approaches in Manufacturing Engineering and Technologies Design 25, 24.
DOI: 10.1051/meca/2024017
Open Access Peer Reviewed
Bedarf an digitaler Lehrkräftefortbildung aus der Perspektive von Landesinstituten
Ortwig, Julia; Breins, B; Quarda, Ann-Kathrin; Gläser-Zikuda, Michaela; Kammerl, Rudolf; Bastian, Jasmin; Händel, Marion (2024)
Ortwig, Julia; Breins, B; Quarda, Ann-Kathrin; Gläser-Zikuda, Michaela; Kammerl, Rudolf...
lernen:digital-Tagung „Digitale Transformation für Schule und die Lehrkräftebildung gestalten“ in Potsdam.
Peer Reviewed
Ideation: Die Qualität von menschengenerierten und KI-generierten Ideen im Vergleich
Joosten, J.; Bilgram, Volker; Hahn, A; Klug, Katharina (2024)
Transfer - Zeitschrift für Kommunikation und Markenmanagement, 100-105.
Open Access Peer Reviewed
Supporting the Identification of Natural Sounds in Ecoacoustic Soundscapes through Spectrogram-based Analysis Methods
Popp, Jana; Edler, Bernd; Pöpel, Cornelius (2024)
IEEE 5th International Symposium on the Internet of Sounds (IS2), 1-9.
DOI: 10.1109/IS262782.2024.10704212
Peer Reviewed
As a contribution to addressing the challenges posed by climate change, acoustic ecology, and in particular the study of changes in soundscapes, provides an opportunity to better understand and subsequently manage climate change. This paper focuses on the development of new spectrogram-based analysis methods to expand the possibilities of comparative analysis of soundscapes. The database to be analysed with the new methods is provided by the WikliNathi project, a long-term monitoring study to investigate the sonic changes of populations of living organisms as well as geophone and anthropophone sounds in a nature reserve. The developed methods of analysis will be presented in detail. Selected audio recordings are analysed for changes in the sounds of great tits, grasshoppers and frogs from 2018 to 2023 using spectral flatness, temporal flatness and onset detection in aligned time-frequency regions. The evaluation of the results shows that the proposed new methods can be used to obtain more detailed and complementary results in future studies as part of this and other bioacoustic projects.
Towards Climate-Neutral Energy: Assessing Equations for Optimization of Photovoltaic Production Estimates
Sutariya, Maheshkumar; Abrao, Raphael; Fonseca, Luis; Vaidya, Haresh (2024)
EU PVSEC Proceedings, 4CV.1, 020405-001 - 020405-006.
DOI: 10.4229/EUPVSEC2024/4CV.1.10
Aufbruch beim DFB? Wahrnehmung und Erwartungshaltung 100 relevanter Stakeholder
Wiske, Jana (2024)
Jahrestagung der DGPuK-Fachgruppe Mediensport und Sportkommunikation in Hamburg.
Peer Reviewed
Motiviert zum Erfolg testen? Motivation als Moderator und abhängige Variable von Testeffekten im Lehramtsstudium
Naujoks-Schober, Nick; Harder, Bettina; Dresel, Markus; Händel, Marion (2024)
53. Konferenz der Deutschen Gesellschaft für Psychologie (DGPs) in Wien, Österreich.
Peer Reviewed
Grundlagen der Kommunikationsforschung & Nudgingtechniken zur Förderung nachhaltiger Mobilität
Klug, Katharina (2024)
KeyNote Arbeitsgruppentreffen Nachhaltige Mobilität "Vertrauen in Veränderung" .
OPTOkopter - a flying anemometer and Application of OPTOkopter measurements in research projects WINDbreaks and WINDforest
Thielicke, William; Buchele, Alexander (2024)
20 Jahre Windenergieforschung und Ausbildung, Stuttgarter Lehrstuhl für Windenergie (SWE), Uni Stuttgart 2024.
Two performance indices of parts in Polylactic Acid manufactured through a material extrusion process: analysis of their dependence on process parameters
Vendittoli, Valentina; Polini, Wilma; Walter, Michael S. J. (2024)
The International Journal of Advanced Manufacturing Technology 134, 4689–4699.
DOI: 10.1007/s11665-024-10407-8
Open Access Peer Reviewed
Laser sintering, also known as powder bed fusion—laser beam, employs a laser to sinter-powdered polymeric materials, such as Polyamide 12. Despite the process, a significant portion of the powder remains unsintered. However, due to elevated temperatures, material degradation occurs, altering its chemical characteristics. Industrially, a common practice involves utilizing a mixture of virgin and aged powder, with the latter having undergone multiple thermal cycles without sintering. Developing an effective powder recycling methodology is fundamental for fully realizing the potential of Polyamide 12. This work focuses the attention on reused powder to manufacture parts in Polyamide 12 through selective laser sintering and evaluates the correlation between the properties of reused powder and the strength of manufactured part through six consecutive printing processes. To achieve this, a wide experimental approach was planned and developed to arrive to establish a clear relationship between the degree of crystallinity of the powder and the ultimate tensile strength of the part made from that powder. This relationship may be used to choose the kind of powder based on the strength required to the manufactured part in exercise. At the same time, if only a kind of powder is available, this relationship allows to predict the mechanical strength of the part manufactured.
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