Strategic Line: 4.0 Digital Manufacturing

AIMAN project

Taking steps forward in the automation of machining using artificial intelligence

FUNDING: AI REGIO, European Union’s Horizon 2020 research and innovation programme under grant agreement N. 952003.

CONSORTIUM: WOLCO (coordinator) - IMH Campus (technical management) - ZITU (partner)

OBJECTIVE:

The development of the Artificial Intelligence necessary to control the real wear of the tools and be able to predict the useful lifetime would allow for an optimal use of the tools. In this way, problems such as discarding tools before the end of their useful life, quality in the parts due to worn tools, having to re-produce a part due to the poor quality of it due to an unsuitable or deteriorated tool increasing the production expense, will be reduced to a minimum. On the other hand, a company that manufactures the tools will have the ability to advise the end user in making decisions regarding the tools. This AI-driven solution also allows for a structural business model change, moving from a traditional marketing model to a more sustainable one related to servitisation.

DIGIVACH Project

Data science for collaborative exploitation in the advanced manufacturing VALUE CHAIN through intelligent and interoperable management of DIGITAL models.

FUNDING: HAZITEK/ ZE-2021/00026

CONSORTIUM: ETXETAR (coordination) - AINGURA IIOT SLU, FAGOR AUTOMATION S.COOP., FAGOR EDERLAN S.COOP., INDUSTRIAS MAIL S.A., IZADI MECANIZADOS, S.L., MICRODECO S.A., SAVVVY DATA SYSTEMS, S.L., TALLERES ARATZ S.A., ZUBIOLA S.COOP., AFM.  Subcontracted entities: FAGOR AOTEK S. COOP., EDERTEK, IKERGUNE, A.I.E., IMH CAMPUS, INVEMA, MICRODECO INN, MONDRAGON GOI ESKOLA POLITEKNIKOA (MGEP), VICOMTECH.

OBJECTIVE: To research and generate knowledge on the exploitation of data in the value chain by means of interoperable Hybrid Digital Models, fed by both internal and external data, which are managed intelligently, and which offer solutions to real problems that occur during production, significantly increasing the competitiveness of companies and giving rise to the development of innovative advanced products and services that position these and their value chains as leaders in their sectors.

EKIN project

Towards the interaction in Natural Language with Industrial Production Machines

FINANCING: ELKARTEK / file number KK-2020/00055.

CONSORTIUM:

Vicomtech (Coordinator) - IMH - TEKNIKER - IKOR Technology Center - UZEI - UPV / EHU (Department of Electricity and Electronics)

 

EDGE4FoF project

Research on balanced hybrid architectures EDGE and Cloud for the Factory of the Future

FINANCING: HAZITEK / file number ZE-2020/00017

CONSORTIUM / OUTSOURCED ENTITIES:

ETXE-TAR S.A. (LIDER) - AINGURA IIOT - AFM - FAGOR AUTOMATION -    GAINDU - IKUSI - TITANIUM INDUSTRIAL SECURITY /FAGOR AOTEK - VICOMTECH - INVEMA - IMH - IKERGUNE - UNIVERSIDAD DE DEUSTO

 

Retro Connect

Project It addresses the obsolescence problem faced by the oldest machine tools in industrial parks, and which affects the productive needs of its user companies.

FINANCING: HAZITEK / file number ZL-2019/00874.
CONSORTIUM / OUTSOURCED ENTITIES:
FAGOR AUTOMATION  (líder) AFM - METALÚRGICA DE BOLUETA - SAVVY DATA SYSTEMS - FAGOR AOTEK - INVEMA - IMH

TDCON4.0

Technologies and solutions for the digitization of the 4.0 construction sector

FINANCING: ELKARTEK / file number / KK-2019/00075.

CONSORTIUM:

UPV/EHU -Department of Thermal Machines and Motors (Coordinator) - IMH - SABICOLABS S.A