Reference projects

The MULTISURV research project investigated methods of process monitoring in multi-material processing in collaboration with the Augsburg Multi-Material Center. Examples of this are powder bed monitoring and quality control of solidified coatings, both using active thermography. Another area is the spectroscopic analysis of process emissions.

Ziel des Projekts HYBDED ist die Implementierung mechatronischer Komponenten in ein kaltgasgespritztes Bauteil mittels RFID-Tag, wodurch eine hohe Auftragsrate und damit kurze Fertigungszeiten ermöglicht werden. Mit der Integration von Sensoren in Bauteile können Daten an bisher nicht oder nur sehr schwer zugänglichen Positionen erfasst werden.

Additive manufacturing processes have been in vogue for years - the production of individual one-offs and functionally optimised components in small series mean great progress, especially for mechanical and plant engineering, aerospace and the automotive industry. Fraunhofer IGCV has recognised this potential and has since been researching additive manufacturing processes for the production of mechatronic multi-material components.

In the DAMOKLEZ research project, an approach is being developed for the development of components for electromobility that enables an overarching consideration of the entire life cycle, taking into account production and operation. This results in a continuous development in a closed loop.

In times of rising raw material prices, an innovative inline measuring system with AI software is crucial for optimizing production processes. PulLoop offers small and medium-sized companies cost-effective process optimization.

Factory environments are continuously changing and conventional planning procedures often lead to poor achievement of objectives. These challenges can be met by applying the methodology of Building Information Modeling in factory environments. As-built digitization provides the first step to create a BIM model in existing factory environments.

The aim of the AnomalieAI project is to develop an approach using Artificial Intelligence (AI) to identify anomalies in castings in order to save both costs and time.

The production of new carbon fibres is based on fossil raw materials and is very energy-intensive, making the recycling of the fibres all the more important. In the "Infinity" project, the fibre-friendly recycling process is demonstrated by means of a thermoplastic, structural component from the aviation sector, which can also be used to demonstrate material substitution.

Decision-making basis for the use of recycled carbon fibers: The central objective of the MAI ÖkoCaP project is to establish a reliable and transparent basis for decision-making that allows the benefits of using rCF in different industrial applications and products to be estimated.

The MonCoat project aims to develop an automatic online monitoring system for checking the mold coating condition, which minimizes the risk of deviations.