Continental AG is the world’s second largest automotive parts supplier, specializing in brake systems, interior electronics, and automotive safety, among others. Within the DIGIMAT project CONTINENTAL has designed a brake
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DigiMAT project featured on Basque TVDigiMAT project featured on Basque TV
DigiMAT project has recently been featured on Teknopolis TV program (emited by EITB on June 12th) as a part of the reportage “Digital and Green Metallurgy”. Among the interviews performed
New Dowloadable leafletNew Dowloadable leaflet
Download the updated brochure of DigiMAT project.
DigiMAT project results to be preseted at the upcoming 6th Annual World Congress of Smart MaterialsDigiMAT project results to be preseted at the upcoming 6th Annual World Congress of Smart Materials
Abstract has been accepted for oral presentation in 6th Annual World Congress of Smart Materials-2021 that will be held in Barcelona (Spain) on March 2022. Under the title “New Generation
DigiMAT project presentation at STCIM-2020 online symposiumDigiMAT project presentation at STCIM-2020 online symposium
Ramón Suárez (VEIGALAN) shared a presentation about DigiMAT project at the International Web-Symposium “SCIENCE AND TECHNOLOGIES OF CAST IRON MODIFYING – 2020” organised by the Kazan (Volga Region) Federal University
DigiMAT project featured in Empresa XXI magazineDigiMAT project featured in Empresa XXI magazine
Check the information in the magazine (page 29.).
DigiMAT project featured at MMIngeniera webpageDigiMAT project featured at MMIngeniera webpage
Check the information at the site.
DIGIMAT project featured at the SPRI blogDIGIMAT project featured at the SPRI blog
The whole intem of news can be read here: https://www.spri.eus/es/basque-industry-comunicacion/veigalan-azterlan-desarrollan-solucion-inteligente-para-crear-materiales-metalicos-mas-resistentes-ligeros-para-fabricar-frenos-coche/
DigiMAT develops optimised foundry materials by means of Artificial IntelligenceDigiMAT develops optimised foundry materials by means of Artificial Intelligence
Gaining control over the manufacturing processes is necessary to produce high quality safety components that fulfil as well, the required properties. Process data analysis and Predictive Control Models (PCM) are
DigiMAT project featured in CITNM LinkedIn siteDigiMAT project featured in CITNM LinkedIn site
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