Forschungsprojekte

Project duration: 2024-05-01 - 2027-04-30

Data Science for Sustainability

In the face of global challenges such as climate change, environmental pollution and increasing resource consumption, identifying sustainable solutions is of the utmost importance. AI4GREEN is a future-oriented initiative.

Project lead THRO: Prof. Dr. Kai Höfig, Prof. Dr.-Ing. Fabian Riß

Automatisierung Digitale Transformation Effizientere Nutzung von Rohstoffen und Energie Energieeffizienz Energietechnik Nachhaltigkeit Werkstofftechnik

Project duration: 2024-01-01 - 2026-03-31

Robot-based wall cladding supported by artificial intelligence

The aim of the research project "RoWaPla - Robot-based wall cladding supported by artificial intelligence" is to develop an intelligent, robot-assisted production unit for the cladding of timber frame walls.

Project lead THRO: Prof. Dr.-Ing. Fabian Riß

Automatisierung digitale Transformation Digitale Transformation KI neue Technologien Produkte und Produktion Roboter Übergreifend

Project duration: 2023-10-01 - 2026-09-30

Electromagnetic susceptibility of MEMS microphones

The project aims to understand the effect of interfering, high-frequency coupling in a microphone installed in a mobile device (e.g. smartphone, tablet) and to reduce it by means of suitable measures.

Overall lead for THRO input THRO: Prof. Dr.-Ing. Matthias Winter

Automatisierung Digitale Transformation Mechatronik Produkte und Produktion

Project duration: 2023-05-01 - 2025-04-30

Additive manufacturing 4.0 - Consistent and digital additive manufacturing

Additive manufacturing processes offer great potential for the design of complex components. The aim of the project is to overcome inhibitions and lack of basic knowledge in the field of digitalization and additive manufacturing are to be reduced.

Project lead THRO: Prof. Dr.-Ing. Fabian Riß

Automatisierung 3D Druck Additive Fertigung Digitale Transformation

Project duration: 2022-07-08 - 2024-12-31

Prozessoptimierung in der chemischen Industrie durch künstliche Intelligenz

Project lead THRO: Prof. Dr. Johannes Lindner

Automatisierung Digitale Transformation KI Künstliche Intelligenz Produkte und Produktion Prozesstechnik

Project duration: 2022-03-01 - 2025-06-30

PSchIAFSim: Process chain for the digital design of patient-specific shoulder implants using additive manufacturing technology and preoperative simulation

The aim of the research project is to develop a new digital toolbox for patient-specific shoulder implants with adapted geometry and mechanical strength, which are to be manufactured additively (colloquially known as "3D printing").

Sub-project lead THRO: Prof. Dr.-Ing. Fabian Riß