KI-basiertes Downscaling von Windgeschwindigkeiten über bewaldeten Regionen
Zacharias, Konstantin; Rösch, Bernhard; Buchele, Alexander (2024)
32. Windenergietage in Linstow.
Open Access
Wie beeinflussen Bäume das Einströmverhalten von Windenergieanlagen?
Zacharias, Konstantin; Buchele, Alexander (2024)
32. Windenergietage in Linstow.
Open Access
Dynamical Component Analysis (DyCA) Python Code
Stiehl, Annika; Uhl, Christian (2024)
Open Access
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.
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.
Peer Reviewed
Innovative, environmentally friendly decoating of metallised plastic products using laser technology
Sover, Alexandru; Zink, Markus (2024)
28th Edition of International Conference (IMANEE 2024), Athen, October 2024.
Peer Reviewed
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).
Peer Reviewed
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
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
Advancements in Wildfire Detection: Integrating Wind Field Simulation and Gas Dispersion Modeling
Vaidya, Haresh (2024)
Optimisation and Wildfire Conference, Luso Portugal.
Open Access Peer Reviewed
Heizlastberechnungen in Bestandsgebäuden: Fokus Wärmepumpe
Vaidya, Haresh (2024)
Energiewendetage am 27.09 und 28.09.24 - lokale Messe zum Thema „Sanieren und Heizen in der Zukunft“ mit einem begleitenden Vortragsprogramm für interessierte Bürger.
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
Towards Climate-Neutral Energy: Assessing Equations for Optimization of Photovoltaic Production Estimates
Vaidya, Haresh (2024)
European Photovoltaic Solar Energy Conference & Exhibition - Visual Session Solar Resource and Forecasting , 4CV.1.
Peer Reviewed
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.
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.
Characterisation of the Cooling System Performance of Additively Manufactured Thermoforming Moulds
Sover, Alexandru; Boca, Marius-Andrei (2024)
International Conference on Reliable Systems Engineering (ICoRSE), 2024.
Peer Reviewed
Tolerances in Mechanisms
Husch, Julia; Walter, Michael S. J. (2024)
In: Wartzack, S. (eds) Research in Tolerancing. Springer, Cham, 65-99.
DOI: 10.1007/978-3-031-64225-8_4
Peer Reviewed
In this chapter, an overview is given of the research work during the years 2007 until 2016 in the field of tolerance analysis, optimization and synthesis of mechanisms ([11] and [17]). At the beginning, the challenges related to mechanisms are highlighted, especially the time-dependent behaviour of a mechanism during its operation and the different kinds of deviation occuring during the production and the operation of the mechanism. After that, the integrated approach for the statistical tolerance analysis of mechanisms is described. This approach is then enlarged to a complete tolerance analysis, optimization and synthesis approach before its applicability is demonstrated in a case study. The chapter will end with a summary.
Implementierung eines Smart Grids in ein betriebsunabhängiges Simulationsmodell
Stromberger, Julian; Dettelbacher, Johannes; Buchele, Alexander (2024)
Tagungsband Langbeiträge ASIM SST 2024,
27. ASIM Symposium Simulationstechnik, München, 61-65.
DOI: 10.11128/arep.47.a4734
Open Access Peer Reviewed
Diese Studie beschreibt die Entwicklung eines betriebsunabhängigen Simulationsmodells für elektrifizierte Druckgießereien, die ihren Energiebedarf mit Hilfe eines Smart Grid Systems decken. Das Modell verwendet reale Wetter- und Börsenstrompreisdaten für den Simulationszeitraum. Mit Hilfe des Modells können die Stromkosten für eine Produktion zu einem bestimmten Zeitpunkt (Tages- und Jahreszeit) sowie die Wirtschaftlichkeit verschiedener PV-Anlagen- und Stromspeichervarianten ermittelt und verglichen werden. Zudem ermöglicht es die Untersuchung des Anteils der verschiedenen Energieträger für die jeweilige Konfiguration. Dies kann mit Hilfe des Modells für Standorte in ganz Deutschland durchgeführt werden. Darüber hinaus werden in dieser Arbeit beispielhafte Simulationsstudien vorgestellt, die den breiten Anwendungsbereich des Modells aufzeigen. Aus den Ergebnissen kann ein erster Überblick über Einsparungs- und Optimierungsmöglichkeiten gewonnen werden. Perspektivisch stellt das Modell eine Grundlage dar, um mittels simulationsgestützter Optimierung optimale Anlagenlayouts und Produktionszeitpunkte zu ermitteln.
Bereich Forschung und Transfer (BFT)
Hochschule Ansbach
Betreuung der Publikationsseiten
Bereich Forschung & Transfer (BFT)forschung[at]hs-ansbach.de