A collection of case histories of successful collaborations between High Technology Network Laboratories and businesses. These are tangible and customisable examples of the application of new technologies, products, or services that show how industrial research can meet the needs of innovation.

Results: 5

DIGIMAN - Solutions for the digitalisation of companies in the manufacturing sector

Digitization to support businesses

The DIGIMAN project aims to develop tools to support the transformation of a generic industrial machinery into a Cyber-Physical System. This result will be possible thanks to the definition and implementation of a hardware-software platform, called...

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Hi-SCORE – Hi performances, Sustainability and COst REduction in machine tool industry

Circular innovation solutions in machine tools

The evolution of machine tool industry is linked to the stakeholders’ need to constantly increase productivity, which means constantly improving the applied technologies. The research for increased sustainability, combined with the reduction of...

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Cryogenic machining for hard to machine aerospace alloys

Improvement of productivity for machining aeronautical materials

Titanium alloys and Ni-based super-alloys are notoriously difficult to machine materials mainly because of their low thermal conductivity. This causes high cutting temperatures with a consequent triggering of a series of problems related to thermal...

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Machine tool components redesign with aluminium foams

Damping and stifness with structural metal foams

The experiences accumulated within the MUSP Laboratory in the field of redesig and, more broadly, design of structural parts of various types of machine tools, with conventional materials (especially electro-welded steel) and innovative ones such as...

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Data Fusion for Monitoring and Diagnostics of technological Processes

Sensors and data integration to improve performance

In the industrial realm it is now possible to have large amounts of data in various applications, from process monitoring to adaptive control. This “data rich” environment is mainly supported by two factors: the continuous development of high...

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