Community Research and Development Information Service - CORDIS

Specific challenge: Production quality significantly depends on the ambient conditions and the process parameters. Computational models capable of simulating the machine-to-part process not only can be used to predict manufacturing quality and productivity but, increasingly, to also compensate wear or partial damage through model-based control. Innovative machines and processes increasingly depend on model-based approaches, including the monitoring and control elements, throughout the whole machine lifecycle.

New integrated approaches are needed in simulation methods, tools and across hierarchical model layers requiring a cross-disciplinary collaboration between (predominantly SME) machine designers, industrial component suppliers, engineering software developers as well as making use of the process experience of manufacturers.

Scope: RTD and innovation activities should aim at developing and testing suitable model-based approaches for production machinery and at demonstrating the power of model-driven approaches for machine innovation through:

-          The development of integrated and accurate simulation models and algorithms for model-based control of production machinery based on cross-disciplinary input and actual machine lifecycle parameters.

-          Tool programming strategies that are easy to use and can be rapidly modified or re-adapted by workers on the machine.

-          Demonstration of the reliability of model-based machines with respect to production accuracy/quality, maintainability and lifecycle return-on-investment (e.g. through an industrially scalable demonstrator).

Activities expected to focus on Technology Readiness Levels 4-6.

The Commission considers that proposals requesting a contribution from the EU between EUR 3 and 6 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Expected impact:

·                Improved system adaptability and reduction of lifecycle costs by 30% for manufacturing system and process.

·                New maintainability concepts based on predictive "(self-) maintenance" with machine reliability improved by 10% (MTBF) and reduced maintenance costs by 20%.

·                In terms of environmental impact: Reduced waste and energy efficiency improved by 30%.

Type of action: Research & Innovation Actions

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