Resource-efficient, energy-efficient, and autonomous production systems for the future: inAdditiv
The “inAdditiv” transfer project, funded by the European Regional Development Fund (ERDF), aims to support small and medium-sized enterprises (SMEs) in their transition to sustainable, energy-efficient, and digitized production. The focus is on developing and testing innovative digitalization and automation solutions that automate complex, product-specific processing steps and intelligently monitor energy-intensive processes using sensor- and AI-based systems.
State-of-the-art technologies such as artificial intelligence (AI), digital twins, manufacturing execution systems (MES), sensor technology, and autonomous robotics are utilized. These are brought together in a practical demonstrator for additive manufacturing, which serves as a showcase for technology transfer and allows SMEs to experience the potential of these technologies firsthand.
Additiv is a collaborative project between ISAT and TTZ Oberfranken: Digital Intelligence.
Mehr Information about the project: „inAdditiv“-Projektvideo on Youtube.
Contact: klaus.drese@hs-coburg.de
Innovation topics
- Decentralized manufacturing concepts with automated guided vehicles (AGVs)
- Sensor-based detection of energy losses in production processes
- Process sensors for integration into existing systems
- Simulation-based generation of virtual sensor data
- Natural language interaction systems
- Virtual Reality (VR) & Augmented Reality (AR) in a production context
- Digital twin
- Situated analytics platform using AR
- Modular manufacturing execution system for additive manufacturing
- Post-processing in additive manufacturing & inline monitoring of post-processing operations
ISAT’s Key Focus Areas in the “inAdditiv” Project
- Simulation-based design and optimization of processes for the digital mapping and analysis of complex production processes, and the generation of virtual sensor data for the adaptation and training of AI algorithms (physical-informed learning) to enable precise evaluation of sensor data
- Development of inline-capable low-power sensors for integration into industrial processes and systems for compressed air leak detection in existing facilities as a cost-effective retrofit option
- Development and selection of inline-capable low-power sensors for integration into industrial processes and systems to detect heat fluxes (hot and cold zones) in production processes for retrofitting and controlling systems to improve energy efficiency
- Development of inline-capable acoustic sensors for integration into industrial processes and systems for non-contact product and material characterization
