Axiomatic design theory as a design thinking tool for mastering industrial process variables inventorying
Merticaru, Vasile; Mihalache, Andrei Marius; Ripanu, Marius-Ionut; Merticaru, Eugen; Rusu, Bogdan; Ermolai, Vasile (2024)
Merticaru, Vasile; Mihalache, Andrei Marius; Ripanu, Marius-Ionut; Merticaru, Eugen...
Innovative Manufacturing Engineering and Energy, Materials Research Proceedings, Athens, Greece 46, 370-384.
DOI: 10.21741/9781644903377-48
Open Access
Alkaline membrane electrolysis for the cost-effective production of hydrogen (wissenschaftliches Poster)
Jarosch, Dieter; Ninow, Jan; Kapischke, Jörg (2024)
HYDROGEN DIALOGUE – Summit & Expo. Nürnberg Messe, 4.-5.12.2024. .
Innovative, environmentally friendly decoating of metallised plastic products using laser technology
Sover, Alexandru; Zink, Markus (2024)
Material Research Proceedings 46, 199-203 .
DOI: 10.21741/9781644903377-26
Open Access Peer Reviewed
Printing the Future Layer by Layer: A Comprehensive Exploration of Additive Manufacturing in the Era of Industry 4.0
Sover, Alexandru; Bănică, C.-F.; Anghel, D-C (2024)
Applied Sciences 14, 9919.
DOI: 10.3390/app14219919
Open Access Peer Reviewed
Characterisation of the Cooling System Performance of Additively Manufactured Thermoforming Moulds
Sover, Alexandru; Boca, Marius-Andrei (2024)
Lecture Notes in Networks and Systems In: Cioboată, D.D. (eds) International Conference on Reliable Systems Engineering (ICoRSE), Springer Cham 1129, 16–34.
DOI: 10.1007/978-3-031-70670-7_2
Peer Reviewed
Multi-material Shape Memory Polymers: Design Consideration and Implementation
Sover, Alexandru; Ermolai, Vasile (2024)
International Journal of Mechatronics and Applied Mechanics (15).
DOI: 10.17683/ijomam/issue15.1
Open Access Peer Reviewed
Pressebericht des BR zur iENA Erfindermesse 2024 und der dort präsentierten Erfindung "BioSpalt"
Reimann, Hans-Achim; Häfner, Philipp (2024)
https://www.ardmediathek.de/video/br24/iena-erfindermesse-in-nuernberg/br/Y3JpZDovL2JyLmRlL2Jyb2FkY2FzdFNjaGVkdWxlU2xvdC80MTA2NDU1Mjc4MTNfRjIwMjNXTzAxMzMxNkEwL3NlY3Rpb24vNWEwODc2ODctYzg2Ni00YjA0LWE0ZmEtMDJjMTcyZjEwNGU3.
Comprehensive Analysis of Energy Transition Strategies in Rural Germany – A Case Study of Treuchtlingen
Hofmann, Gerd; Haupt, Thomas; Obermeier, Marco; Fischer, Tomy; Vaidya, Haresh; Jungwirth, Johannes (2024)
Hofmann, Gerd; Haupt, Thomas; Obermeier, Marco; Fischer, Tomy; Vaidya, Haresh...
1st International Symposium on Energy System Analysis (ISESA) “Next level of security of supply: a resilience strategy for the energy transition" 2024.
Predictive Modeling of Mechanical Properties from Degraded Polyamide 12 Powder in Laser Powder Bed Fusion
Vendittoli, Valentina; Mascolo, Maria C.; Polini, Wilma; Sorrentino, Luca ; Sover, Alexandru; Walter, Michael S. J. (2024)
Vendittoli, Valentina; Mascolo, Maria C.; Polini, Wilma; Sorrentino, Luca ...
Journal of Materials Engineering and Performance 34, 16974–16984.
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.
KI-basiertes Downscaling von Windgeschwindigkeiten über bewaldeten Regionen
Zacharias, Konstantin; Rösch, Bernhard; Buchele, Alexander (2024)
Vortrag auf den 32. Windenergietagen in Linstow, November 2024.
Wie beeinflussen Bäume das Einströmverhalten von Windenergieanlagen?
Zacharias, Konstantin; Buchele, Alexander (2024)
Vortrag auf den 32. Windenergietagen in Linstow, November 2024.
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.
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
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
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
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
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