Unified Predictive Maintenance System
UPTIME aims to design a unified predictive maintenance framework and an associated unified information system in order to enable the predictive maintenance strategy implementation in manufacturing industries. As products become more complex due to evolution of technology, high quality and reliability have become issues of high significance. To reach the required levels of availability, maintainability, quality and safety of production machinery, while considering the system as a whole, and throughout the entire production lifecycle, manufacturing companies are increasingly considering turning to predictive maintenance, by utilising the capabilities of condition monitoring.
The UPTIME predictive maintenance system will incorporate information from heterogeneous data sources, e.g. sensors, to more accurately estimate the process performances. Therefore, UPTIME will extend and unify the new digital, e-maintenance services and tools in order to exploit the full potential of predictive maintenance management, sensor-generated big data processing, e-maintenance support, proactive computing and the four levels of data analytics maturity (Monitor, Diagnose and Control, Manage and Optimize). The UPTIME system will be deployed and validated through implementation in three business cases: white goods home appliances – dryer drum, steel industry – cold rolling machine and construction of production systems – transportation jigs.
Duration 01.09.2017 - 31.08.2020, Funded by H2020
Interactive robotic system for unloading of sea containers
The unloading of containers is one of the last non-automated activities in a highly-engineered transport chain. A significant proportion of imported and exported containers are emptied or loaded in seaports. Existing automatic and semi-automatic systems do not meet the requirements of port operators due to high investment costs, high commissioning times and adaptations to the infrastructure and have a very low degree of dissemination. The objective of the IRiS project is the development of a new, mobile robot for improving the efficiency of transhipment processes at seaports. The robot should be able to be deployed in a very short time without any major adjustments to the existing operational infrastructure. In order to be able to meet disturbing situations as quickly and effortlessly as possible, an intuitive human-robot interaction interface is developed.
Duration 01.09.2017 - 30.08.2020, Funded by BMVI
Autonomes Rangieren auf der Hafenbahn
Das Projekt Rang-E ist eine Durchführbarkeitsstudie zur Beurteilung der Machbarkeit von autonomen Rangiervorgängen am Beispiel der Hafenbahn Bremerhaven. Es werden technische, ökonomische und rechtliche Aspekte beleuchtet. Das autonome Rangieren ermöglicht die optimierte Disposition und Einsatzsteuerung von Rangierloks im Hafen – sowohl beim Containerumschlag als auch im Automobilumschlag. Die Terminals in Bremerhaven bieten dabei eine ausgezeichnete Plattform, da Bremerhaven einen hohen Bahn-Anteil im Hinterlandverkehr aufweist. Es werden verschiedene Automatisierungsstufen bis hin zur vollständigen Autonomie und Selbststeuerung von Rangierloks beleuchtet. Rang-E bezieht erweitert auch die Kompetenz deutscher Hafenunternehmen bzgl. aktueller Strategien zur Digitalisierung der deutschen Wirtschaft wie Internet of Things (IoT) und Logistik 4.0.
Duration 01.08.2017 - 31.07.2019, Funded by BMVI
Automobile logistics in sea- and inland ports: interactive and simulation-based operation planning, dynamic and context-based control of device- and load movements
The project Isabella aims at the development of an interactive planning and control system for adaptive logistics processes on sea and inland ports. After development, the planning and control system will be implemented for pilot testing on the vehicle port of the BLG in Bremerhaven.
A simulation-based planning tool will be developed to enable short-term planning adjustments due to occurring change demands and to validate possible planning alternatives. The planning tool is supposed to work on a visual and thus most intuitive basis. A multi-touch table will be used for the visualization of the current planning situation and the definition of planning alternatives. The evaluation of these alternatives is supposed to happen simulation-based. The simulation will evaluate all alternatives based on a multi-criteria target system.
A control algorithm will be developed for the management of vehicle movements on the vehicle port. The control system should assign tasks based on the current order situation and the location of the vehicles. By doing so, not only a given order sequence and thus due date reliability can be pursued, but also route optimization and elimination or minimization of empty runs.
For the realization of adaptive logistics processes, a tracking and tracing system needs to be designed that generates real time data of the location of the vehicles. A special requirement is the urgent need for a high spatial accuracy that can locate objects within an area of adequate size, preferably on parking lot exactness. Therefore, it will be investigated, if different tracking and tracing methods such as differential-GPS (DGPS) and WLAN-Fingerprinting are adequate for usage in vehicle compound applications.
The envisioned planning and control system will be developed in cooperation with the project partners BLG and 28Apps. The project is funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of the program for innovative port technologies (IHATEC).
01.07.2017 - 30.06.2020,
Funded by BMVI
Augmented Reality-based assistance system for commercial vehicles to raise the safety level
The goal of the safeguARd project is the development of an assistance system for commercial vehicles, which recognizes the occurrence of hazardous situations at an early stage, draws the operator's attention to the dangerous situations and, in the last resort, actively transmits control commands to the machine operator, for example, to initiate an emergency stop. In the context of the project, the safeguARd system is initially developed and evaluated on the example of mobile cranes. This is due to a modular and flexible design so that the transmission of the system to other construction machines as well as other commercial vehicle groups is possible without major adjustments. The project partners apply the "Design for all" concept as part of the development efforts. Thus, the system enables all users to an efficient and safe use of commercial vehicles. Particularly older employees can compensate sensomotoric restrictions and thus the safeguARd system represents an approach to adapt machine operator workplaces to the requirements of the demographic change.
01.06.2017 - 31.05.2020,
Funded by BMBF
InTeWIND - MOBISTAR / Development of a mobile and stationary wire rope monitoring system
The aim of the project is the development and testing of an automatic monitoring system for wire ropes based on an innovative and intelligent measuring method. Therefore, a mobile system will be developed, which is also designed for a permanent installation on the wire rope. Consequently, the determination of the condition from the wire rope and a permanent monitoring will be possible with the system to be developed.
01.06.2017 - 31.05.2019,
Funded by BMWi
A Holistic, Innovative Framework for Design, Development and Orchestration of 5G-ready Applications and Network Services over Sliced Programmable Infrastructure
The vision of MATILDA is to design and implement a holistic 5G end-to-end services operational framework tackling the lifecycle of design, development and orchestration of 5G-ready applications and 5G network services over programmable infrastructure, following a unified programmability model.
It aims to devise and realize a shift in the development of software for 5G-ready applications as well as virtual and physical network functions and network services, through the adoption of a unified programmability model, the definition of proper abstractions and the creation of an open development environment that may be used by application as well as network functions developers.
The developed 5G-ready application components, applications, virtual network functions and application-aware network services are made available for open-source or commercial purposes, re-use and extension through a 5G marketplace.
Duration 01.06.2017 - 30.11.2019, Funded by H2020
STRADegy – Automated Container handling by Using Straddle Carriers
The overall objective of the project STRADegy, which is conducted by EUROGATE and BIBA, is to increase the productivity and flexibility in container handling as well as to reduce the environmental impact and to increase the security of German seaports. Within the project, automated straddle carriers are evaluated in a field test in Europe for the first time. A straddle carrier is a highly flexible freight-carrying vehicle used for stacking and moving standard containers in container terminals. To achieve the research objectives, different concepts are evaluated to ensure a high productivity of the automated system. The developed concepts should also be applicable to a broad range of container terminals. For this purpose, standard interfaces have to be developed to link IT systems from different manufacturers, such as terminal operating systems (TOS), which control the handling processes in terminals. It is also important to ensure that straddle carriers from different providers can be integrated. In this context, BIBA contributes to the design of the pilot experiments and ensures that innovative research approaches are considered throughout all phases of the project. Furthermore, guidelines are prepared that will help to automate mega container terminals in the future. The flagship project STRADegy receives funding from the Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of the program for innovative harbor technologies (IHATEC).
01.03.2017 - 29.02.2020,
Funded by BMVI
Gamification for Qualification of Offshore Wind Energy Service Technicians
The competition for offshore wind energy maintenance services is steadily increasing. The quality of the service represents the decisive differentiation feature in the industry. In addition, public requirements lead to the necessity of constant further development and training of the employees. As a result of the decentralized service stations, further trainings are characterized by high logistics costs due to the transfer of employees to central qualification measures. At the same time, the weather conditions at sea, for example, frequently lead to temporal free spaces, which could potentially be used for qualification measures.
The aim of the project is to improve competitiveness through the considerably more effective training of the staff. On the one hand, e-Learning enables the aspect of decentralised and temporally flexible mediation of learning contents. On the other hand, the gamification approach is designed to increase the acceptance and motivation of the staff. Results gained from the analysis of service logs are serving as input for the overall solution, in order to develop a comprehensive and useful application.
01.12.2016 - 31.05.2018,
Funded by Land Bremen
Digital Services for Shaping Agile Supply Chains
The main objective of SaSCh is a continuous cross-company end-to-end logistic quality monitoring of components and products during their life cycle, especially the supply chains. The project is focusing on selected supply chain processes. Using stationary and mobile sensors or cameras for collection and digitization of quality-relevant environmental data and geolocation. Generated data is stored decentral at each company and provided to relevant partners. Data is exchanged based on the EPCIS standard, being developed further on to realize an exchange of sensor and quality data. Different digital services could use the provided data to improve product and process quality in supply chains.
For the automotive industry, new digital services can be implemented to extend the geographical limits of JIT- and JIS-concepts and to prevent special transports, rework, production stops or recalls. Additionally, more transparency enable a better bottleneck management and the entire system will include the developed opportunities.
The German Federal Ministry for Economic Affairs and Energy (BMWi) is funding this work as part of the technology programme “PAiCE” (Platforms, Additive Manufacturing, Imaging, Communication, Engineering).
01.11.2016 - 31.10.2019,
Funded by BMWi
Lean innovative connected vessels
The LINCOLN project aims to propose added-value
specialized vessels able to run requested services for Marine Aquaculture, Ocean Energy, Coastal Monitoring,
Control and Surveillance, and Rescue sectors in the most effective, efficient, economic valuable and ecofriendly
way. These design and development projects will use an innovative fact based design model
approach, which combines real operative data at sea with lean methodology, in order to support the
appropriate development and implementation of the new vessel concepts, enhance the competitiveness of the
EU shipping sector and maximise opportunities for innovation in the European shipbuilding and
maritime equipment industry. Finally, LINCOLN will use ad hoc IT tools, customized for the Maritime
environment, to support the Lean Fact Based Design enabling the acquisition and the usage of field data,
coming from an IoT (Internet of Thing) platform and High Performance Computing- HPC- Simulation.
Duration 01.10.2016 - 30.09.2019, Funded by H2020
Development of a process to improve the crushability of packaging solutions made of expanded polystyrene (EPS)
Online sales of fresh and frozen food (E-Food) requires a specialized packaging solution. Thereby, specific technical, economic and environmental requirements as well as the user experience have to be considered. Usually, this packaging is made of expanded polystyrene (EPS) and Styrofoam. The storage and disposal of these, comparably bulky EPS packaging is very difficult for private households and reduces the acceptance of E-Food. Therefore, the objective of this project is to the adaptation of the EPS packaging in order to increase its crushability and render it easier to store and dispose, while retaining its thermodynamic properties. The task of the BIBA focusses on the theoretical and simulative development of a product and process model for the integrated simulation and optimization of the manufacturing process.
01.07.2016 - 31.12.2017,
Funded by BMWi
Integrated control for the energy self-sufficient operation of large-scale infrastructure based on environmental data
The project Geregelt aims at developing a novel integrated control system for energy and building technology of large-scale infrastructures. By the energetic optimization of the entire energy system under consideration of environmental data and energy storage technology, a significant reduction of total energy consumption can be reached. The linkage and control of internal energy sources, storages and loads can contribute to the smoothing of energy consumption and therefore increase energy self-sufficiency of large-scale infrastructures.
01.06.2016 - 30.11.2018,
Funded by BMBF
An adaptive simulation-based optimisation approach for the scheduling and control of dynamic manufacturing systems
This Brazilian-German cooperation-project aims at developing a simulation-based optimisation method for the scheduling and control of dynamic job shop manufacturing systems. The traditional approach of simulation-based optimisation is suitable for solving complex, stochastic scheduling problems. Within the project, this approach will be extended to additionally incorporate the dynamics of job shops, so that scheduling decisions and the configuration of the shop floor control can be optimised with respect to the current system state. The approach bases on the development of an iterative optimisation algorithm which allows changes of the objective function during the optimisation. In order to couple the optimisation with the physical production process, an automated method to exchange data between a manufacturing execution system and the simulation model within the optimisation approach is developed. The aim of this project is the development of a simulation-based optimisation method for the scheduling and control of dynamic job shop manufacturing systems. This method will be evaluated by means of an application to the job shop system of a Brazilian producer of mechanical parts.
01.04.2016 - 31.03.2018,
Funded by DFG
Development and integration of RFID transponders to monitor curing during the manufacturing process and for product life cycle management of fibre composite components
In the production of fibre composite components, it is still a problem to monitor the curing process reliable. In this project a Curing Transponder will be developed, which uses RFID technology to detect the curing degree of fibre composite components within an autoclave. The project focuses on glass and carbon fibre components. The transponder can store detailed data about the component state and send this data to a knowledge-based expert system. That system will collect further data such as location, temperature, RFID signals and manufacturing constraints of various components and will find patterns in this data. Thus, it will be enabled to control the production steps more efficiently. The BIBA institute assumes the data analysis and the development of algorithms which are necessary to interpret the RFID signals to determine the degree of cure of the fibre composite components. The project is performed in cooperation with the Bremen Fibre Institute (FIBRE) and the companies tagItron (Salzkotten) and Haindl Kunststoffverarbeitung (Bremen).
01.03.2016 - 28.02.2019,
Funded by BMWi
„Mit uns digital!“ Mittelstand 4.0 – Kompetenzzentrum, Hannover
Within the „Mit uns digital!“ Mittelstand 4.0-Kompetenzzentrum, Hannover, the BIBA – Bremer Institut für Produktion und Logistik at the University of Bremen - establishes its "factory of expertise" on Autonomous Control in Production und Logistics, which will offer free services to small and medium sized enterprises (SME) coping with digital logistics and Industrie 4.0.
Services offered by the BIBA "factory of expertise" will include demonstration of own activities related to "Industrie 4.0" and digital logistics, instruction and training courses for SME employees as well as dialogue workshops with SME.
The training and instruction courses aim to qualify SME employees to gain expertise in digital logistics. Three main topics will be covered: 1) mobile technologies and smart products 2) efficient planning and control of logistic processes und technical systems 3) adaptive systems for a changing environment.
Course contents will be certified.
The dialogue workshops aim at identifying potential applications of digital logistics within SME and specifying projects to implement them.
Duration 01.01.2016 - 31.12.2018, Funded by BMWi
Building an IoT OPen innovation Ecosystem for connected smart objects
The Internet of Things (IoT) brings opportunities to create new services and products, reducing costs for societies, and changing how services are sold and consumed. Despite this, one of the most critical obstacles are the "vertical silos" that shape today’s IoT. Indeed, vertical silos constitute a serious impediment to the creation of cross-domain, cross-platform and cross- organisational services due to the lack of interoperability and openness.
The upcoming H2020 bIoTope project (grant agreement n° 688203), standing for Building an IoT OPen innovation Ecosystem for connected smart objects, aims to lay the foundation for open innovation ecosystems, where companies can – with minimal investment – innovate by creating new Systems-of- Systems (SoS) platforms for connected smart objects.
01.01.2016 - 31.12.2018,
Funded by H2020
Anpassbare Interaktion mit materialwissenschaftlichen Forschungsdaten
Um die Persistenz, Wiederverwertbarkeit und Nachhaltigkeit experimenteller Forschungsdaten zu verbessern, wurden digitale Infrastrukturen zur Erfassung, Ablage und Dissemination geschaffen (InfoSys, Radischen, etc.).
Wie in vielen Bereichen fallen in den Werkstoffwissenschaften große Mengen an Forschungsdaten durch Versuche an. Diese wurden bisher in dezentralen Insellösungen mit geringer Standardisierung abgelegt. Im Rahmen des Vorgängerprojekts InfoSys wurde eine zentrale Infrastruktur geschaffen, mit der 90 % der anfallenden Forschungsdaten inklusive Meta-Daten für metallische Werkstoffe strukturiert abgelegt werden. Das entwickelte System ist inzwischen im täglichen Einsatz und setzt auf nutzer- und umgebungsspezifische Eingabemöglichkeiten (z. B. Tablets) um die Nutzbarkeit, Effizienz und gleichzeitig die Akzeptanz des Systems vor Ort zu erhöhen. Im Rahmen dieses Folgeprojekts soll das bestehende System als Beispiel einer digitalen Infrastruktur für Forschungsdaten, für deren Nutzung zur Recherche, Data Mining und Dissemination der experimentellen Daten angepasst, erweitert und optimiert werden.
Hierbei steht nicht mehr die leichte, angepasste und benutzerfreundliche Eingabe der Daten, sondern deren spätere Verwertung durch Dritte im Vordergrund. Die zu erarbeitenden Erweiterungen sollen allerdings nicht nur auf das Pilotprojekt anwendbar sein, sondern eine breitere Anwendung erlauben und fördern. Hierfür soll das InfoSys-System um weitere Funktionen erweitert werden. Dabei liegt ein besonderer Fokus auf einer hochentwickelten Suchfunktion und Auswertungstools, die auf Data Mining und semantischer Verknüpfung basieren. Damit kann zukünftig das Potential der nun zentral und strukturiert vorliegenden Daten effizienter ausgeschöpft werden.
Gleichzeitig werden weitere Maßnahmen im Bereich Qualitätssicherung von Forschungsdaten entwickelt und implementiert. Dies ist speziell vor dem Hintergrund der Referenzierung durch Digital Object Identifier (DOI) essentiell. Die Qualitätssicherungsmaßnahmen haben teilweise Überschneidungen mit den vorher genannten Auswertungstools, wie bspw. automatische Plausibilitätschecks.
Zusätzlich sollen innovative Methoden entwickelt werden, die es den Nutzern erlauben, die Qualität von Forschungsdaten einfacher zu bewerten. Um hinreichende Komplexität und Übertragbarkeit zu gewährleisten, sollen auch materialwissenschaftliche Daten der Stoffklasse der faserverstärkten Kunststoffe (FVK) mit allen spezifischen Eigenheiten hinsichtlich Metadaten und Versuchsabläufen hinzugefügt werden.
Duration 01.01.2016 - 31.12.2019, Funded by DFG
breaking educational barriers with contextualised pervasive and gameful learning
BEACONING stands for Breaking Educational Barriers with Contextualised, Pervasive and Gameful Learning and will focus on ‘anytime anywhere’ learning by exploiting pervasive, context-aware and gamified techniques and technologies, framed under the Problem-Based Learning approach. For this the project will
- Integrate technologies, pedagogical and social perspectives using pervasive, context-aware and gamified approaches ensuring that the BEACONING platform is innovative while also extending our scientific understanding and practice-based experiments of engaging a community of learners including those with disabilities with a more inclusive, connected and contextualised learning process.
2.Develop, implement and validate the BEACONING platform that: leverages cutting-edge approaches including the Future Internet technology, mobile, gamification, pervasive gaming, procedural game content generation, game authoring, human-computer interfaces, learning analytics and problem-based learning model; is usable, adaptable, extendable and sustainable.
3.Explore and measure the level of engagement, effectiveness and Impact that is enabled by the BEACONING platform towards incentivising learners and fostering acquisition and transfer of knowledge and skills, validate this through large scale pilots involving a community of stakeholders and practitioners in Europe, and provide an exploitation and business plan for the platform adoption.
Duration 01.01.2016 - 31.12.2018, Funded by H2020
Process Innovation through Digital Services for the Seaport of the Future
The project ProDiS provides a significant contribution to increasing innovation of German small and medium sized enterprises in the field of sea port industry with a focus on offshore wind energy logistics and the handling of containers. For this purpose, a concept for the development of product-service systems for companies in the port logistics is developed and tested in the operational environment. The aim of ProDiS is the development and testing of scalable and modularized company-wide digital services to the port of the future.
Towards the end of the project, the possibilities for the development and provision of services are identified and tested for their efficacy on the basis of three selected demonstrators. It is an information service (eg binding weather data), a planning service (eg integrated planning for all organizations involved in availability issues on a project), and a service as part of the operation (eg flow control to optimize turnaround times).
The project has a duration of three years and six months (11/2015 - 04/2019) and is founded by the German Federal Ministry of Education and Research (BMBF) with the reference number 01FJ15081.
01.11.2015 - 30.04.2019,
Funded by BMBF
AI supported platform for the assistance of production control for improving energy efficiency
Current energy management systems are only able to capture the energy data and determine key indicators. Methods of artificial intelligence offer the potential to analyze this enhanced knowledge to support the decision-making process for the selection of process parameters for an energy-efficient production. This approach could increase the transparency of the use of energy by giving automated suggestions which allow to lower the primary energy demand.The KIPro research project examines the possibilities of improving energy efficiency in industrial plants with strongly varying properties of the input materials. The aim is to reduce energy demand through the use of methods of artificial intelligence, such as artificial neural networks in combination with deep learning, architectures, semantic mediators and expert systems, without compromising product quality. These systems analyses large amounts of data and identify specific patterns and rules, training and improving their own knowledge base in order to offer specific proposals for an energy-optimized process.
01.09.2015 - 31.08.2019,
Funded by BMWi
Media applications in welding training
The project “MESA – Media Applications in Welding Training” focuses on the application of digital media for training purposes within the welding sector. As a new key development in the welding sector, welding trainer simulators are expected to greatly improve the learning process. Towards this goal, MESA strives to integrate digital media in basic and advanced training situations in regard of industrial and didactic requirements. The project deeply analyses all welding trainer simulators that are present on the German market. MESA examines the content of industry-wide training as well as possible adaptions towards specific training requirements of individual corporations.
Partners in MESA are the Institut Technik und Bildung of the University of Bremen, the Gesellschaft für Schweißtechnik International mbH, Bildungszentren Rhein-Ruhr, and C+P Bildung GmbH. Further associated partners are DVS - Deutscher Verband für Schweißen und verwandte Verfahren e.V., DVS Media GmbH, Volkswagen AG, Alexander Binzel Schweisstechnik GmbH & Co. KG, and Schweißtechnische Lehr- und Versuchsanstalt Nord gGmbH
Duration 01.08.2015 - 31.01.2018, Funded by BMBF
Development of preemptive methods towards increased work safety at ground conveyors through fusion and analysis of 2D and 3D image sensor data
Each accident at work is a personal fate and at the same time an economic loss for the employer and for society. The application range of powered industrial vehicles within intralogistics offers a high risk potential. Driver assistance systems for industrial vehicles such as forklifts can be used here in order to increase the attention of potentially affected employees at the crucial moment and warn the people involved.
The project aims at both researching general methods to improve work safety at motor-powered ground conveyors and specifically applying 2D/3D image processing methods in a demonstrator system to prove this method effective in increasing work safety in such an environment. The developed demonstrator can serve as a basis to engineer a system for ground conveyors to notify the driver of potential hazards, which then could be integrated and retrofitted into ground conveyors independent of the manufacturer.
01.03.2015 - 30.11.2017,
Funded by DGUV
Product Service Design and Manufacturing Intelligence Engineering Platform
The Manutelligence project aims to close the gap between product and service development. For this purpose, a cross-disciplinary collaborative management environment for Product-Service engineering has to be created. The integration of product and service development is based on a combined lifecycle model that includes both perspectives.
Besides common PLM tools, such as CAD and production planning, two existing simulation tools have to be adapted, enabling lifecycle assessment and lifecycle costing of Product-Services. The collaborative management environment will be evaluated in four use cases: automotive, cruise ships, modular houses and additive manufacturing.
Duration 01.02.2015 - 31.01.2018, Funded by H2020-FoF-2014
Product-Service sYMBIOtic SYStems
PSYMBIOSYS aims at improving the competitiveness of European Manufacturing industries by developing an innovative product-service engineering environment, symbolized by a five-pointed symbiosis star – design-production, product-service, knowledge-sentiment, EDA-SOA, business-innovation – and able to dramatically reduce the time-to-market of more attractive and sustainable product-service solutions.
Duration 01.02.2015 - 31.01.2018, Funded by H2020-FoF-2014
Feedback mechanisms Across the Lifecycle for Customer-driven Optimization of iNnovative product-service design
Success in the market is not only determined by the product itself, but also by its service extensions. BIBA established the term “Extended Products” for such Product-Service-Systems and can look back upon a long history on research in this field. BIBA is the coordinator the project FALCON, which consists of 12 partners from 8 European countries. Its core research focusses on the acquisition und application of product usage information for product and service design. To achieve this goal FALCON exploits novel sensor technologies, information and communication technologies and additional information from the Internet for gathering feedback during the usage phase of a product.
The objective: to develop knowledge based engineering and innovative tools for product development.
01.01.2015 - 31.12.2017,
Funded by H2020-FoF-2014
To cope with the increasingly demanding competitive environment, companies have to strengthen their innovative powers and intelligently merge quality aims and domain knowledge. They have to develop new capabilities, both resource and knowledge wise, and find effective possibilities of delivering the right products.
The “Innovativ Kraft” project will develop methods and tools to enable companies to collaborate and harness their joint innovative powers. iKraft will foster effective innovation processes and thus the improvements of the companies’ products. The collaborative use will also yield a much better return-on-investment, e.g. on testing-facilities, equipment, know-how and the pursuit of further initiatives.
Innovativ Kraft will focus on the utilisation of Meta data and have a modular approach for the collaborative development of capabilities at its core. The project is based on the needs of the involved companies to find joint solutions and has a special focus on the development and use of testing facilities and the connected know-how.
Duration 01.05.2014 - 30.04.2018, Funded by Norwegian Research Council
SFB747 - B5
Qualitätsprüfung und logistische Qualitätslenkung mikrotechnischer Fertigungsprozesse
Subproject B5 - Safe Processes
In the 3rd phase of funding, the Project B5 aims at realization of a method for an automated quality inspection of cold formed micro parts. This method has to be integrated on the existing demonstrator platform. The result will be a fast and calibrated 3D-metrology system that can automatically measure deviations of object geometries in a measurement volume of about 1 mm3. Thereby in addition to deviations from the object geometry, undesired surface imperfections can be detected, which may be within the tolerances but still weaken the structure of the thin-walled components. Thus, the fast acquisition of the micro parts surface turns from a random sample inspection, being developed throughout the 2nd phase, into a 100% inspection.
01.01.2007 - 31.12.2018,
Funded by DFG Sonderforschungsbereich
SFB747 - C4
A Simultaneous Engineering methodology for micro cold forming processes
Subproject C4 - Simultaneous Engineering
The manufacturing of micro components is characterized by a complex interplay of material, process and control parameters. Slight changes to single operations can have a drastic impact on the manufacturing costs and qualities of the overall process chain. Consequently, the subproject C4 is developing a method for the planning and configuration of micro process chains, that enables an integrated process and production planning by the use of so called cause-effect networks. The continuation of the project focusses on the development of methods for (semi-)automatic generation of process chains based on workpiece features.
01.01.2007 - 31.12.2018,
Funded by DFG Sonderforschungsbereich