Research Projects

INFOS

INternationalisation of Veneto FOundry by networked Strategies

Sector

Smart Manufacturing

Product/Objective

The project supports some of the companies within the SINFONET network in using high value services, assistance, orientation, coaching, information, and export promotion to promote not only their individual companies but also the overall foundry supply chain.

Project Summary

The project involves market analysis and technological scouting in the field of innovative cast irons. The partners identified some internationally important trade fairs (Euroguss in Nuremberg, Samumetal in Pordenone, Elmia Subcontractor in Jönköping) at which several marketing activities were conducted to promote and illustrate the Innovative Network and the foundry supply chain (hosting a stand, creation of a "SINFONET path", arranging dedicated seminars).

Innovation

To support the internationalization of the network through the development and use of shared tools and methodologies.

ES Role

EnginSoft coordinated the kick-off meeting, and the marketing activity plan, and participated in the EUROGUSS trade fair, the biggest international fair for Die Casting and Die Casting Processes.

Partners

EnginSoft | SAEN | LPM | Tecnolabor | Zanardi Fonderie

Funding Scheme

Funding Scheme POR - Obiettivo "Investimenti a favore della crescita e dell'occupazione" - Parte FESR fondo europeo di sviluppo regionale 2014 - 2020 | ERDF EUROPEAN DEVELOPMENT FUND 2014 - 2020

 INFOS

Project web site

Visit the website

Duration

9 months

Period

October 2017 - July 2018

Coordinator

RIR SINFONET

Reference in EnginSoft

Nicola Gramegna

Partners Number

5

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Research project

TECNOMED HUB

TECNiche multi-OMiche nelle scienze mEDicHe: intelligenza artificiale a supporto della salUte puBblica

Obiettivo generale del progetto TECNOMED-HUB è quello di realizzare, sul territorio piemontese, una piattaforma tecnologica a supporto della ricerca medica 4.0, basata sull’integrazione delle piattaforme multi-omiche già presenti (ma facilmente implementabili ad altre tecnologie in futuro), con algoritmi di autoapprendimento, data mining e big data analytics.

Research project

PreMANI

MANIFATTURA PREDITTIVA: progettazione, sviluppo e implementazione di soluzioni di Digital Manufacturing per la previsione della Qualità e la Manutenzione Intelligente

Il progetto PreMANI ambisce a dimostrare la capacità di penetrazione di tali tecniche in settori applicativi eterogenei, caratterizzati da esigenze molto diverse, facendo leva sugli aspetti metodologici di natura generale.

Research project

RLW Navigator

Remote Laser Welding Navigator

RLW is emerging as a promising joining technology for sheet metal assembly due to benefits on several fronts including reduced processing time, (50-75%) and decreased factory floor footprint (50%), reduced environmental impact through energy use reduction (60%), and providing a flexible process base for future model introduction or product change.