Within the foundry industry, large castings (weighing up to several tens of tons), used for power generation or machine tool applications, constitute a range of products with extremely high added value. These castings are made primarily of steel or cast iron, depending on their intended use or performance. Paradoxically, the realization of these products, which have exceptional quality requirements, still requires laborious manual processes to be carried out by the operator (polishing, grinding, deburring, etc.). These procedures cause significant ergonomic and vibro-acoustic comfort problems for operators, potentially leading to occupational diseases.
The Project therefore aims to:
The robotic equipment developed by the project for grinding, deburring, de-scoring and repairing castings is a first for most ferrous alloy foundries. The direct benefits that can be identified are varied:
EnginSoft is responsible for the mechanical design of the robotic solutions, and the vibro-acoustic simulations.
ADI TOOLS SPA, BNP SRL, BUSON SRL, ENGINSOFT SPA, FONDERIA CORRA' SPA, IT+ROBOTICS SRL, SAFAS SPA, UNIVERSITA' DI PADOVA - DTG.
Funding Scheme POR - Obiettivo "Incremento dell'attività di innovazione delle imprese" - Parte FESR fondo europeo di sviluppo regionale 2014 - 2020
"Project co-funded by POR ERDF 2014-2020 Regione del Veneto" - AXIS 1 "RESEARCH, TECHNOLOGICAL DEVELOPMENT AND INNOVATION" ACTION 1.1.4 "Support for collaborative R&D activities for the development of new sustainable technologies, new products and services"
“Progetto finanziato con il POR FESR 2014-2020 Regione del Veneto” - ASSE 1 “RICERCA, SVILUPPO TECNOLOGICO E INNOVAZIONE” AZIONE 1.1.4 “Sostegno alle attività collaborative di R&S per lo sviluppo di nuove tecnologie sostenibili, di nuovi prodotti e servizi”
Importo finanziamento: € 1.007.700,00 / Grant Amount: € 1.007.700,00
November 2017 - October 2020
Some of our competences in research and technology transfer
The MUSIC is strongly aimed at leading EU-HPDC/PIM factories to cost-based competitive advantage through the necessary transition to a demand-driven industry with lower waste generation, efficiency, robustness and minimum energy consumption.
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.