LINKEDDESIGN | Linked Knowledge in Manufacturing, Engineering and Design for Next-Generation Production

Summary

Manufacturing is the driving force of Europe’s economy, contributing over €6,553 billion in GDP and providing more than 30 million jobs. A strong manufacturing sector is vital to European economic growth and stability but this sector is facing increasingly difficult challenges.

The economic crisis has decreased industry output by around 20%, while global competition is growing dramatically. Furthermore, new trends and paradigms like an increasing demand for sustainable manufacturing and mass customization are increasing. ICT is the key enabler for coping with these changes to push engineering and manufacturing excellence as driver for European success. LinkedDesign is intended to boost today’s engineers by providing an integrated, holistic view on data, persons and processes across the full product lifecycle as vital resource for the outstanding competitive design of novel products and manufacturing processes.

To achieve this goal the project will develop the Linked Engineering and mAnufacturing Platform (LEAP) as an integrated information system for manufacturing design that federates all relevant product lifecycle information, independent of its format, location, originator, and time of creation.

The LinkedDesign project aims for user-centric lifecycle information management. LEAP will therefore provide specific knowledge exploitation solutions such as design decision support systems and collaborative reporting. LEAP will provide a context-driven access to federated information and knowledge and foster cross-discipline collaborations between users by novel approaches for collaborative engineering. LinkedDesign will provide tight feedback connections to existing engineering tools (e.g., CAx Systems) in order to push back formalised knowledge to enable the automated design of elementary product components.

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More information & hyperlinks
Web resources: http://www.linkeddesign.eu
https://cordis.europa.eu/project/id/284613
Start date: 01-09-2011
End date: 31-08-2015
Total budget - Public funding: 12 561 115,00 Euro - 8 061 848,00 Euro
Cordis data

Original description

What is clearly missing in the current ICT landscape for manufacturing is an integrated, holistic view on data across the full product lifecycle. Especially the design and engineering of products and manufacturing processes is decoupled from the actual process execution. As experiences of the past show, a tight integration of all tools used throughout a product lifetime is not feasible.LinkkME addresses these shortcomings by providing an integrated, holistic view on data, persons and processes across the product lifecycle as a vital resource for the outstanding competitive design of novel products and manufacturing processes. To achieve this goal the project will develop the Linked Engineering and mAnufacturing Platform (LEAP) as an integrated information system for manufacturing design. LEAP federates all product lifecycle information relevant to drive engineering and manufacturing processes, independent of its format, location, originator, and time of creation. Besides the unified access to the integrated information, LEAP will provide specific knowledge exploitation solutions like sentiment analysis and design decision support systems to analyse the integrated information.Within LinkkME we aim for a user-centric lifecycle information management. LEAP will provide a context-driven access to federated information and knowledge and foster cross-discipline collaborations between users by novel approaches for collaborative engineering.Finally, LinkkME will provide tight feedback connections to existing engineering tools (e.g., CAx Systems) in order to push back formalised knowledge to enable the automated design of elementary product components.All concepts and components developed within the LinkkME project will be evaluated using three application prototypes deployed at the application partners' industry sites. Further, the project team will develop four show case demonstrators in the Living Labs associated to the consortium.In terms of impact, partners estimate reductions of up to 50% in time spent for search and knowledge acquisition through the improved (collaborative) information access and reductions of over 20% in time to market through support and automation of product and manufacturing design provided by the engineering platform.

Status

CLO

Call topic

FoF-ICT-2011.7.4

Update Date

27-10-2022
Geographical location(s)
Structured mapping
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Factories of the Future Partnership - Made in Europe Partnership

FP7 - Factories of the Future
FP7-FoF-2011
FoF-ICT-2011.7.4 - Digital factories: Manufacturing design and product lifecycle management
Large-scale integrating project
Standards
Comment:
Different partners of the projects are involved in the QLM Open Group (http://www.opengroup.org/subjectareas/qlm-work-group). The project contributed to the development of this open standard about product lifecycle management.
Economic sustainability
Comment: The developed solution aims directly at reducing the scrape rate and increasing production precizion / part quality. The goal wpould be to reach a zero-defect process by data harvesting of historc data.
Within the project, a life cycle costs optimization of industrial system is performed, combining it with life cycle environmental impacts and building a multi-objective optimization
Supply chain and value network efficiency
Comment: Increasing economic perfomance by reduction of scrape rate and faster work flow due to data sharing.
Environmental sustainability
Comment: Within the project, a life cycle environmental impacts optimization of industrial system is performed, combining it with life cycle costs and building a multi-objective optimization. Since the hot forming process is used to produce light weight car body parts, the improvement of this process by the LD solutions influences the possibilities of increasing the resource efficiency of the cars.
Material efficiency
Waste minimisation
Comment: This is the main goal of the application of the LD solution in the "Metrology-driven Manufacturing in the Automobile Industry".
Circular economy
Comment: When the scrape rate in processes is reduced the resources are used more efficiently what is the goal of the solution.
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data storage
ICT solutions for next generation data storage and information mining
Comment: The project created a data integration layer in order to integrate the different data storages, from structured data sources and unstructured files and web sources. Security and trust will be handled by the network layers below the data protocols. Furthermore, data are collected from the fields thanks to PLM Data service, returning valuable knowledge to the stakeholders. "Metrology-driven Manufacturing in the Automobile Industry" as developed in LD is the data storrage and data mining to deduce case and effect realtion in order to optimze the processes.
Advanced material processing technologies
Methods for handling of parts, metrology and inspection
Comment: The solution of LD WP7 directly brings togther the metrology and inspection of the produced parts with data analysis and process optimization.
Shaping technology for difficult to shape materials
Comment: Hot forming is such a technology and the solution is applied to improve the hot forming process.
Mechatronics and robotics technologies
Measurement, sensing, condition and performance monitoring technologies
Comment: Parts of the demonstrator "Metrology-driven Manufacturing in the Automobile Industry" namly the Dasthboard are meant to give an overview over the current production performance and the real time monitor is meant to show the current production conditions.. In addition the whole solution is meant to increase the production performacne.
Control technologies
Comment: The LD solution is used to close the quality contol feedback loop. In the state as is the loop is closed by an operator but the concepts could be extended to automated production corrections.
Engineering tools
System modelling - digital twins, simulation
Comment:

Part of the project covered the field of KBE (Knowledge Based Engineering). In detail, the project developed a methodology to codify product development, in order to automate codification and knowledge acquisition. Furthermore, “rule interchange format” is developed, enabling an application-independent management of rules and algorithms.

Part of the project covered the development of algorithms for the multi objective optimization of life cycle costs and environmental impacts. The tool developed aimed to support designers activities since the early design stages, supporting them in the creation and identification of the optimal lifecycle oriented solution. The developed platform aims at including all involved user grops to improve the production and design process of the products and processes.

Interoperability (ICT)
Collaborative and decentralized application architectures and development tools
Comment: The project developed a tool called “Virtual Obeya”, in order to support the design activities and the collaboration between different people inside and/or outside the company. The tool provides also a lean management of the product development activities.
Manufacturing the products of the future
Comment: The LD solution can inprove the workflow, data sharing and analysis in the mannufacturing areas significantly, as shown during the evaluation of the LD demonstrator "Metrology-driven Manufacturing in the Automobile Industry". The data harvesting and analysis methods developed within the project become more and more importand due to increasing complexety of the manufactured products and the involved processes.
Complex structures, geometries and scale
Comment: The increasing production valumes as well as the ever increasing demants on car body parts in terms of safety, weight and geometry leeds the initally mentioned complex processes. Thus, LD can help to optimize the necessary production processes.