Current Projects
See also Finished Projects
![](data:image/png;base64,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)
SAB/ESF-Plus: WiProFlex - Übertragbare wissensbasierte Prozessmodelle für eine flexible Fertigung
Local Project Manager: | Tom Rothe |
Project Leader: | Tom Rothe |
Duration: | 01.01.2024 bis 31.12.2026 |
Aims of the Project: | Die Professur Smart Systems Integration der TUC treibt dabei mit Hilfe modernster Machine-Learning-Methoden die Entwicklung innovativer Mikro- und Nanosysteme im Demonstrator- und Prototypenbereich voran. Eine besondere Herausforderung besteht dabei in der begrenzten Verfügbarkeit von Forschungsdaten, weshalb die Modelle durch Experten- und Domainwissen ergänzt werden. Dieser Ansatz führt zur Schaffung von wissensbasierten Modellen für Einzelprozesse und Prozessketten, die wiederum eine beschleunigte Entwicklung und eine optimierte Produktion ermöglichen.
Die ESF-Nachwuchsforschergruppe WiProFlex entwickelt Methoden, um datenbasierte Modelle mit physikalischen Modellen, Fachexpertise und Simulationen zu verbinden. Dies geschieht in interdisziplinärer Zusammenarbeit innerhalb der Technischen Universität Chemnitz. Beteiligt sind das Zentrum für Mikrotechnologien, sowie die Professuren für Schaltkreis- und Systementwurf (bei Fakultät ET/IT), Verteilte und Selbstorganisierende Rechnersysteme (Fakultät Informatik), Wissenschaftliches Rechnen (Fakultät Mathematik) und Produktionssysteme und –prozesse (Fakultät Maschinenbau). Ein Anwendungsbeispiel hierfür ist der Halbleiterfertigungsprozess des Chemisch-Mechanischen Planarisierens. |
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)
Grüne Mobilität ‚made in Saxony‘ – Innovative Lösungen für zukunftsweisende Automobil- und Industrieanwendungen (Future Mobility)
Local Project Manager: | Tom Rothe |
Project Leader: | Prof. Dr. Harald Kuhn |
Partners: | Infineon Technologies Dresden GmbH & Co.KG, Fabmatics GmbH, Systema GmbH, TU Dresden, Hochschule für Technik und Wirtschaft Dresden, Westsächsische Hochschule Zwickau Helmholtz-Zentrum Dresden e.V., Fraunhofer Institut für Photonische Mikrosysteme, Laser Electric Components GmbH, Fraunhofer Institut für Werkstoff- und Strahltechnik |
Duration: | 01.07.2023 bis 30.06.2026 |
Aims of the Project: | Die rasante Urbanisierung und Globalisierung sowie die damit verbundenen Umweltbelastungen führen zu neuen Herausforderungen und Zielen, wie dem Streben nach zunehmender Dekarbonisierung, insbesondere in Mobilitätsanwendungen, und Digitalisierung. Das durch Infineon Technologies Dresden GmbH & Co. KG geführte Verbundprojekt Future Mobility zielt deshalb darauf hin, entlang der gesamten Wertschöpfungskette – von Produktdesign und -entwicklung bis hin zu Technologieentwicklung sowie Prozessinnovation und Hochvolumenfertigung innovative Lösungen zu erarbeiten, um neuartige Power-Produkte und -systeme für zukünftige Automobilelektroniklösungen zu ermöglichen.
Die Professur Smart Systems Integration der TUC treibt dabei mit Hilfe modernster Machine-Learning-Methoden die Entwicklung innovativer Mikro- und Nanosysteme im Demonstrator- und Prototypenbereich voran. Eine besondere Herausforderung besteht dabei in der begrenzten Verfügbarkeit von Forschungsdaten, weshalb die Modelle durch Experten- und Domainwissen ergänzt werden. Dieser Ansatz führt zur Schaffung von wissensbasierten Modellen für Einzelprozesse und Prozessketten, die wiederum eine beschleunigte Entwicklung und eine optimierte Produktion ermöglichen.
Die Anwendung von wissensbasierten Modellen erstreckt sich auch auf die Massenfertigung, wo sie dazu beitragen, die Vorhersage von Prozessergebnissen zu verbessern, Abweichungen frühzeitig zu erkennen und entscheidende Einflussgrößen zu identifizieren. Exemplarisch wird dies im Projekt in Zusammenarbeit mit Infineon Dresden im Rahmen des Chemisch-Mechanischen Planarisierungsprozesses (CMP) demonstriert. Dieser Prozess zeichnet sich durch ein hochkomplexes Zusammenspiel chemischer und mechanischer Effekte aus, das bisher nur begrenzt modelliert werden konnte.
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