sfinorman.no 1 WP1 – Robust and Adaptive Manufacturing Systems WP2 - Advanced Process Control and Intelligent Maintenance WP3 - Hybrid Manufacturing GOAL: Develop system concepts for automated manufacturing with high performance based on integration and adaptivity in manufacturing systems GOAL: Develop knowledge, tools, and concepts for advanced process control and intelligent predictive maintenance of equipment for high performance manufacturing GOAL: Develop the concept and principles for a hybrid manufacturing system RA1: Advanced Manufacturing Technology
GOAL: Develop system concepts for automated manufacturing with high performance based on integration and adaptivity in manufacturing systems. RA1: Advanced Manufacturing Technology. WP1 – Robust and Adaptive Manufacturing Systems. WP3 - Hybrid Manufacturing. - PowerPoint PPT Presentation
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sfinorman.no 1
WP1 – Robust and Adaptive Manufacturing Systems
WP2 - Advanced Process Control and Intelligent Maintenance
WP3 - Hybrid Manufacturing
GOAL:Develop system concepts for automated manufacturing with high performance based on integration and adaptivity in manufacturing systems
GOAL:Develop knowledge, tools, and concepts for advanced process control and intelligent predictive maintenance of equipment for high performance manufacturing
GOAL:Develop the concept and principles for a hybrid manufacturing system
WP1 Robust and Adaptive Manufacturing SystemsImplications of the concept of the constantly changing manufacturing system for:
T1: Study new design methods for manufacturing control based on an agent-oriented bottom-up approach
T2: Develop and integrate new agent-oriented design tools in the APROX framework
T3:Define operator information and control requirements in highly automated manufacturing environments - work organization and demand for skill development
T4: Define handling characteristics for non-rigid materials
WP2 Advanced Process Control and Predictive Maintenance
T1: Sensor and sensor system development and integration for measurement of critical process parameters
T2: Control strategies and methods for self-adjusting, -calibrating and -reconfigurable processes
T3: Fault diagnosis and prognosis system for preventive maintenance of production equipment
T4: 3D-object measurement and inspection on the basis of 3D point clouds
T5:Operator decision-support: strategies, models and tools for effective problem solving based on a combination of operator/specialist knowledge and monitoring of measured or estimated process parameters
WP3 Hybrid manufacturing
T1: Development of a hybrid manufacturing cell by integration of additive manufacturing with conventional CNC milling
T2:Case studies: principles for enhanced tooling capability and high performance parts by incorporation of complex geometries and variable material composition for advanced thermal management and directed part material properties
T3: Design for performance: design principles to exploit the possibilities of the Hybrid Manufacturing concept
Task in all WP's: International collaboration and network building
WP1 Robust and Adaptive Manufacturing SystemsImplications of the concept of the constantly changing manufacturing system for:
T1: New design methods: symbolic communication between machines/devices. For such communication, both software and hardware of present equipment must be extended.
T2: Develop and integrate new agent-oriented design tools: systems, e.g. assembly systems, capable to work in not well structured environment.
T3: - work organization and demand for skill developmentT4: Define handling characteristics for non-rigid materials
WP2 Advanced Process Control and Predictive Maintenance
T1: Sensor and sensor system development and integration for measurement of critical process parameters: Sensor networks capable of acquiring symbolic data
T2:Control strategies and methods for self-adjusting, -calibrating and -reconfigurable processes: strategies and methods based on symbolic data mining and optimization. Solutions imitating biological reflexes
T3: Fault diagnosis and prognosis system for preventive maintenance of production equipment
T4: 3D-object measurement and inspection on the basis of 3D point clouds
T5:Operator decision-support: strategies, models and tools for effective problem solving based on a combination of operator/specialist knowledge and monitoring of measured or estimated process parameters: HMI communicating with operators on the symbolic levelWP3 Hybrid manufacturing
T1: Development of a hybrid manufacturing cell by integration of additive manufacturing with conventional CNC milling
T2:Case studies: principles for enhanced tooling capability and high performance parts by incorporation of complex geometries and variable material composition for advanced thermal management and directed part material properties
T3: Design for performance: design principles to exploit the possibilities of the Hybrid Manufacturing concept
Chairman from Industry for Joining Sub-Platform: SFI Norman and SINTEF Raufoss Manufacturing AS have worked actively in Manufuture by participating in the HLG. As a result Kristian Martinsen now holds the chair, as an industry representative, for the new sub-platform for Joining.
Exchange agreement with four students from Ensiame Engineering School, Valenciennes, France. Have been working on design of a flexible jig for assembly of components for Sandvik Teeness and a dual arm robot installation.
Collaboration through the development of the new ISO standard on additive manufacturing technology does now include the chair for ISO/TC261 WG1 Terminology for additive manufacturing.
DTI (Denmark), VTT (Finland), Acreo (Sweden), Fraunhofer (Germany): collaboration on coatings, integrated sensors and new business models for injection molding industry.
Two new EU-projects have been granted, SASAM and Diginova, where SINTEF Raufoss Manufacturing is a partner. Diginova, short for Innovation for Digital Fabrication, is a coordination and support action project under NMP 7th FP, Networking of materials laboratories and innovation. SASAM, which is short for Support Action for Standardisation in Additive Manufacturing, is a similar type of project.
Collaboration on a EU-proposal "VITAMIN", where Sandvik Teeness was partner together with SRM and SINTEF ICT from Norway. Not granted.
Planned international collaboration within RA1 for 2013:
Polytechnic Institute of Braganca, Portugal:• Prof. Paulo Leitaõ: workshop around holonic manufacturing, common publication or similar.
The University of Manchester, UK: Dr. Yi Wang: • establishing projects on Intelligent systems and Predictive Maintenance.• Common publication: a book on data mining for zero-defect manufacturing
VTT Technical Research Centre of Finland, +rest of consortium• EU proposal for call FoF.NMP.2013-7 "New hybrid production systems in advanced factory
environments based on new human-robot interactive cooperation":
University of Ljubljana:• Prof. Slavko Dolinsek and student David Homar, continue collaboration on development on OMOS (Optimized
Manufacturing Operation Sequence)
University of Berlin (???? ): • Prof. Günther Seliger: workshop around flexible automation and possibly researcher exchange?