The aim of the research project AutoTron funded by the BMBF and conducted together with the Heinz Maier-Leibnitz Center of the Technical University of Munich is to increase the efficiency and expand the range of applications of robot-assisted sample positioning in neutron diffraction. The robotic sy...
Funded by the Bundesministerium für Wirtschaft und Klimaschutz (BMWK), the research project "Automatic Monitoring of Construction Progress through the Application of Artificial Intelligence and Robotics" (BauKIRo) is investigating a solution for the automated recording of construction progress by an...
The TAQO-PAM project addresses the real-time optimization of production and intralogistics, in particular of modern matrix manufacturing facilities, using hybrid quantum-classical algorithms adapted to customized medium-term NISQ hardware. This is done by holistically integrating problem-specific ad...
Subproject: Immersive and Self-Optimizing Teleoperation System and Autonomous Robot Capabilities (15S9422C)
Within the project, robots and radiological measurement technologies will be developed to handle radioactive waste materials teleoperational as well as semi-autonomous. The goal of the tech...
The goal of this research project in neutron diffractometry is the realization of the automated sample positioning in the focus point of the neutron source with a classical 6-axis industrial robot. To achieve the necessary absolute accuracy of 50 μm, a measuring and control system is developed, that...
PDA-RobE (Prozessorientiertes, durchgängiges und automatisiertes Robotik-Engineering) wird vom Bayerischen Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) gefördert und ordnet sich innerhalb der Strategie BAYERN DIGITAL der Initiative „Künstliche Intelligenz – Big Data“ ein.
The DC|hyPASim project aims to identify and harness unused energy saving potential in the manufacturing industry. In the course of this, technical measures to control the natural fluctuation of renewable energy sources will be evaluated in the context of future energy supply. Overall, investment cos...
InterAcDT pursues further development of the "Digital Twin" for planning and optimization of production facilities. Through targeted development, combination and integration of technologies from the fields of simulation, AI as well as VR/AR, the Digital Twin of the production resource is:
funct...
Around 100,000 employees in the Nuremberg Metropolitan Region work for suppliers of the automotive industry. Many of the jobs depend on the combustion engine and are endangered by the transformation of the industry. The large-scale project transform_EMN with a volume of 6.6 million euros supports co...
The DC|hyPASim project aims to identify and harness unused energy saving potential in the manufacturing industry. In the course of this, technical measures to control the natural fluctuation of renewable energy sources will be evaluated in the context of future energy supply. Overall, investment cos...
The research project AI4CO2Opt addresses the minimization of energy consumption and consequently CO2 emissions while at the same time optimizing production control. Through the combination of energetic and event-discrete simulation models as well as deeper reinforcement learning processes, different...
Machine learning techniques are increasingly used in monitoring and optimizing industrial production due to recent advances in computing capacities as well as the spread of developer-friendly software libraries. Essential challenges such as high initial manual effort as well as the general data qual...
Manufacturing companies see far-reaching opportunities in digitalization. However, they are confronted with the specific question of what added value the expansion of existing machines and plants with new technologies promises in order to exploit their innovation potential. It is important to increa...
Increasing digitization and automation enable more efficient processes, perfected quality and optimized use of resources, thereby constantly improving the competitiveness of manufacturing companies in Germany as a high-wage location. However, the increasing use of electrical drive technology and the...
Industry 4.0 requires a radical rethinking in manufacturing companies. Processes that have previously been designed separately
are interlinked, remodeled and optimally coordinated through digital technologies. How can this be achieved in practice?
Silicone components are widely used both in industry and in medical technology. The outstanding material properties, such as high crack elongation, temperature resistance or chemical resistance, are largely responsible for this. Particularly in the field of medical technology, patient-specific solut...
The prosthetic fitting is currently a manual procedure based on the skills and knowledge of the orthopaedic technician. Based on the manually recorded tissue structure, a plaster cast is physically modelled to create the basis for the socket geometry. Due to the subjective recording of the tissue co...
Especially with the expansion of renewable energies and the evolution of electromobility, the industry's interest in efficient and reliable power electronics is growing. The increasing significance of electronics likewise leads to heightened complexity of electronic assemblies with high curr...
A key challenge for the use of data-based methods for the analysis and optimization of processes in electronics production is the imbalance of the data. Despite the large amounts of data generated in high-volume production, the information content of the data is limited, as the vast majority of insp...
The desire for highly automated driving requires intelligent and networked vehicles that can detect their surroundings in detail and reliably using precise sensor technology. In addition to cameras, ultrasonic and lidar sensors, radar sensors are of great importance in the car of the future. Maximum...
This project focuses on the research of additive manufacturing of metal-ceramic composites using selective laser melting for power electronics. Currently, ceramic substrates, made using DCB (direct copper bonded) or AMB (active metal brazing) processes, are commonly used as substrates in pow...
Today's production environment is influenced by megatrends such as customer individualization, connectivity, and digitization. This results in the need to economically manufacture mechanical components with integrated intelligence in small quantities. Simultaneously, the integration of addit...
The AiF-funded research project "MultiPower" aims at generating customized and highly-integrated electronic 3D power modules using various technologies of Additive Manufacturing. Multi-material photopolymerisation, laser powder-bed fusion and piezojet-printing are applied to create innovative design...
ProKI-Nürnberg is one of eight ProKI centers of the ProKI network in Germany. The ProKI network serves companies, especially SMEs, as a central hub for training and consultancy on using artificial intelligence (AI) in production. The focus of the ProKI center in Nuremberg lies on AI use cases in joi...
The production of power modules is facing new challenges: Being able to produce a wide variety of variants in small quantities economically is becoming increasingly important. The FlaMe research project aims to use new technologies and make the process much more sustainable.
With the re...
In elektrischen Antrieben entstehen bei der Energiewandlung Verluste, die zu einer Erwärmung der Maschine führen und abgeführt werden müssen. Zu den Gesamtverlusten tragen maßgeblich die Eisenverluste bei, die durch den Einsatz von Fe-Si-Elektroblechen reduziert werden können. Gängige Elektrobleche ...
Die Ziele des Vorhabens OptiWiRE, mit den Verbundpartnern ElringKlinger AG und dem Lehrstuhl FAPS, sind eine Verbesserung der Prozesskette bei der Herstellung von Elektromotoren, in Bezug auf der in der Automobilbranche sehr hohen Anforderungen an Taktzeit, Qualität und Flexibilität der Fertigung....
Around 100,000 employees in the Nuremberg Metropolitan Region work for suppliers of the automotive industry. Many of the jobs depend on the combustion engine and are endangered by the transformation of the industry. The large-scale project transform_EMN with a volume of 6.6 million euros supports co...
Although the range of applications for image processing has been growing for years, only a portion of industrial visual inspection tasks have been automated to date. Artificial intelligence (AI) methods hold the potential to automate even difficult visual inspection tasks that have been performed ma...
ProKI-Nürnberg is one of eight ProKI centers of the ProKI network in Germany. The ProKI network serves companies, especially SMEs, as a central hub for training and consultancy on using artificial intelligence (AI) in production. The focus of the ProKI center in Nuremberg lies on AI use cases in joi...
Rising prices and supply insecurities of industrial raw materials are threats to the production of innovative products and thus the climate goals of the European Union. Hard to replace rare earth elements (REE), which e.g. are used in the production of semiconductors or permanent magnets and therefo...
Using advanced sensors, actuators and methods of artificial intelligence (AI), robots are increasingly turning into learning systems that interact with humans, make decisions and take on more complex tasks. As a result, new application potentials are opening up that go beyond the classic application...
In the course of series production of automotive traction drives, stators in hairpin technology are increasingly coming into focus. Due to the high number of contact points, the laser-based contacting of wire ends plays a major role in hairpin stator production. To realize a stable laser welding pro...
The aim of the PrInterfaces project is to research technologies for the high-quality contacting of printed structures for the establishment of Level 3 connections between electronic assemblies. Four promising technologies have been identified for this purpose: pierced-through and around crimping, st...
The aim of the AngElo research project - Connecting Printed Electronics to the Onboard Network - is to develop novel connection and contacting concepts for printed electronics in aviation. For this purpose, requirements for the connections are defined with experts from the aviation industry and suit...
The project OptiCrimp is funded by the federal ministry for economic affairs and climate action. The goal is the development of an automated optical inspection (AOI) system for the holistic quality assessment of crimp connections. The project started in March 2022 and is carried out by the institute...
The wiring harness is an important component for the execution of safety-critical driving functions in autonomous vehicles. Automated manufacturing processes are therefore significant to ensure a high degree of reproducibility, traceability, and cost-effectiveness. However, the automated handling of...
The aim of the EFFEKT research project is to increase passenger comfort while at the same time improving efficiency through the integration of innovative processes and the intelligent connection of data structures. Cost- and technology-optimized production is also an important aspect of this applica...
Electrically operated micromotors with a diameter of only a few millimetres are already being used in a wide range of applications such as automation technology, robotics or medical technology. However, the conventional winding of stator coils is reaching its production limits with increasing miniat...
Of particular relevance to the success of electromobility is the guarantee of a nationwide charging infrastructure, which, with an increasing number of electric vehicles, can only be achieved by a correspondingly extensive provision of suitable charging points. The process of manufacturing these cha...
The aim of the MRO-PrinE research project - Maintenance, Repair and Overhaul of Printed Electronics - is to develop suitable and fast maintenance and repair processes for printed electronics on interior components. In addition to the damage patterns of printed electronics, the influence of damage to...
The aim of the ProMilL research project - process and assembly optimization through intelligent cabin linings - is to design intelligent production in final assembly. The aim is to ensure that the condition of cabin linings is recorded via sensor networks. This is made possible by integrating printe...
The goal of this project is to develop a new kind of heating system that eliminates existing disadvantages. This includes the poor efficiency of gas and oil heaters, the high installation effort for connecting the central heating as well as low heat-transfer rates. Investigations point out that warm...