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Twin-Control aims to develop a simulation system that integrates the different aspects that affect machine tool and machining performance, including lifecycle concepts, providing better estimation of machining performance than single featured simulation packages. This holistic simulation model will be linked to the real machines in order to update itself according to their real condition and to perform control actions that will lead to performance improvements.

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First Twin-Control seminar at TU Darmstadt

On November 27, 2017, the first Twin-Control seminar will take place at the Technische Universität Darmstadt. The aim of this event is the presentation of current project results for participants from both the academic and industrial environment.

The general topic of the seminar is Energy 4.0: Industry 4.0 applications to increase energy efficiency and energy flexibility. A specific advantage of digitization is the potential for increasing energy efficiency. On the one hand, growing data collections increase transparency, making it easier Read more

Twin-Control presented at scientific-industrial forums

Before the summer, members of the Twin-Control consortium presented the project at different forums of sicentific-industrial interest.

  • NAFEMS World Conference 2017 took place in Stockholm, Sweden, 11-14 June 2017. Frédéric Cugnon from SAMTECH presented the paper “Machine tools mechatronic analysis in the scope of EU Twin-Control project”, co-authored by Mani Ghassempouri (COMAU) and Mikel Armendia (IK4-TEKNIKER). The main subject was machine tool FEM modelling and validation, using COMAU Urane machine as an example.

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Technology Watch

FAG VarioSense Bearings

Source: Schaeffler

FAG VarioSense bearings — a combination of a standard rolling bearing and a sensor cluster — provide several sensor signals for monitoring machines and processes in one compact unit. And they offer a combination of different measured values which can be adapted to specific applications in a standard envelope.

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Smart manufacturing must embrace big data

Source: Nature magazine

Manufacturing is getting smart. Companies are increasingly using sensors and wireless technologies to capture data at all stages of a product’s life. These range from material properties and the temperatures and vibrations of equipment to the logistics of supply chains and customer details. Truck engines beam back data on speed, fuel consumption and oil temperature to manufacturers and fleet operators. Optical scanners are used to spot defects in printed electronics circuits1.

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