Funded Research Projects
HPE GROUP contributes to the development of new competences and innovative solutions, particularly in the automotive sector, also through participation in regional and European research projects involving significant companies, institutions, and research entities
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ERDF 2014-2020
Funded Research and Development Projects by the Emilia-Romagna Region under the Operational Programme of the European Regional Development Fund (ERDF) 2014-2020 – Regional Agreements for Business Establishment and Development in implementation of Article 6 of Regional Law No. 14/2014.
In June 2017, HPE S.r.l. signed a Business Establishment and Development Agreement (ARIS) with the Emilia-Romagna Region for an investment program aimed at establishing a Research Center on Integrated Design for Additive Manufacturing Technologies for the Regional Automotive Production System (Design For Additive Manufacturing Dfam HPE Center).
The investment program includes the establishment of a Research and Development Center and dedicated infrastructure, with a total investment of 7.8 million euros, funded by a regional contribution of 3.4 million euros.
The project has allowed the development and validation of a Design For Additive Manufacturing (DFAM) methodology that enables HPE to effectively offer innovative design solutions to companies in the automotive industry, leveraging all possible advantages derived from the use of additive technology.
The goal is the integration of modeling and process simulation tools capable of enabling the design of an automotive component using AM technology with the same level of reliability as designing a component manufactured through traditional methods (casting and mechanical machining).
With this program, HPE also contributed to generating additional employment in the Emilia-Romagna Region.)
KDT JU PROJECTS
Transform is an R&D project funded by the EU and national funding authorities aiming to build a complete and competitive supply chain in EUROPE for Power electronics (PE) based on SiC semiconductor technology.
The project aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.
