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"IA-GVA"

IA-GVA DEVELOPMENT OF NEW HYBRID COGNITIVE AI TECHNOLOGIES AND THEIR APPLICATION IN STATE-OF-THE-ART INDUSTRIAL PRODUCTION PROCESSES: ADDITIVE MANUFACTURING INDUSTRY




DESCRIPTION

The project "Development of new hybrid-cognitive AI technologies and their application in next-generation industrial production processes: additive manufacturing industry" aims to design and validate an Intelligent Digital Tool (IDT) that integrates hybrid-cognitive artificial intelligence to optimize additive manufacturing.

Additive manufacturing allows for the creation of complex, customized parts by adding material layer by layer. By integrating advanced AI into the value chain, it will be possible to centralize expert knowledge and automate decision-making regarding material selection, technologies, and printing process parameters.

The HDI will be able to:

Centralize and manage expert knowledge, enabling advanced semantic search and efficient access to relevant information, even in ambiguous queries.

Automate repetitive tasks (such as writing reports, summaries, and recommendations) with generative AI.

Integrate heterogeneous data sources (databases, expert tacit knowledge, and technical documents).

Make intelligent recommendations on printing materials and technologies for each specific case.

Significantly reduce response times to customer requests and improve traceability and quality.

OBJECTIVES

The general objectives of the project are:

Develop a new Intelligent Digital Tool (IDT) that efficiently integrates and manages expert knowledge, using hybrid-cognitive artificial intelligence, to optimize additive manufacturing processes.

Make this tool capable of:

Automatically determine the appropriate selection of materials and technologies for additive manufacturing processes based on each customer's specifications.

Optimally configure printing parameters for additive technologies, especially for metallic materials.

Centralize knowledge and enable advanced semantic searches, facilitating access to relevant information regardless of its format or origin.

Automate repetitive tasks, such as report writing, recommendation generation, and content summaries, using generative AI.

Boosting business competitiveness through more efficient and sustainable industrial processes that leverage the circularity of materials.

In short, the main objective is to transform management and decision-making in additive manufacturing by integrating advanced artificial intelligence, facilitating innovation, sustainability and competitiveness in the industrial sector.

Project Number: 22500016
Grant Agreement: INREIA/2024/51
Duration: From 01/02/2025 to 31/03/2026

Coordinated in AIDIMME by: JORDA FERRANDO, OLGA
R&D Line: ADDITIVE MANUFACTURE





PARTNERS

AIDIMME - INSTITUTO TECNOLÓGICO METALMECÁNICO, MUEBLE, MADERA, EMBALAJE Y AFINES, SCILING SL, NUNSYS, SA - COORDINATOR, SCHOOL OF POSTGRAU I


GRANT

160.177 €

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TARGET AUDIENCE AND IMPACT MEASUREMENT

1756 Access to the project website
0 Access to news published on own websites.

Total Accesses: 1756


Objective Sectors by CNAE

CNAE: 3030 - Aeronautical and space construction and its - Number of target companies: 10 (2 from the Valencian Community)

CNAE: 2932 - Manufacture of other components, parts - No. of target companies: 124 (56 from the Valencian Community)

CNAE: 3250 - Manufacture of instruments and supply - Number of target companies: 60 (27 from the Valencian Community)

CNAE: 2013 - Manufacture of other basic products d - Number of target companies: 15 (6 from the Valencian Community)

CNAE: 2711 - Manufacture of engines, generators and tr - Number of target companies: 23 (6 from the Valencian Community)

CNAE: 3299 - Other manufacturing industries nec - No. of target companies: 109 (50 from the Valencian Community)

CNAE: 222 - Manufacture of plastic products - Number of target companies: 1 (0 from the Valencian Community)


Objective Sectors by Activity

MANUFACTURERS - Number of target companies: 122 (41 of the Valencian Community)

MANUFACTURERS - Number of target companies: 236 (82 of the Valencian Community)

PLASTIC INDUSTRY - No. of target companies: 119 (47 from the Valencian Community)

METAL INDUSTRY - Number of target companies: 93 (42 of the Valencian Community)

TRACTOR COMPANIES

Thanks to its support and signature of the "declaration of participation" the project has been funded.

COMPANIES DIFFUSION R&D PROJECTS

They want to know first-hand the evolution of the project, and its progress to the final result.

COMPANIES TRANSFER KNOWLEDGE

They will implement technologies, develop strategies or look for new models based on the results.