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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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24/7 fleet monitoring of Twin-Control machine tools

By Dirk Euhus and Dr. Tobias Fürtjes,
D. Euhus is MMS Research Manager at MARPOSS / ARTIS and MMS project leader at Twin-Control
T. Fürtjes is MMS Research Project Manager at MARPOSS / ARTIS and task leader at Twin-Control

Monitoring infrastructure

A reliable and continuous monitoring of all use case machines is one of the most important task in Twin-Control. Overall, in Twin-Control six industrial use case machines (three at Renault, three at MASA), three laboratory use case machines (TU Darmstadt, TEKNIKER, ARTIS) and three Pilot-line use case machines (ETA Factory Darmstadt, Factory of the Future Sheffield, Basque AMC Bilbao) Read more

Twin-Control plenary meeting at IK4-TEKNIKER

This week, June 27-28, the Twin-Control consortium gathered for a plenary meeting at IK4-TEKNIKER’s facilities in Eibar, Spain. The aim of the meeting was to review recent advances of the project and to make all preparations for the industrial implementation of Twin-Control, scheduled to be performed this October.

During the plenary meeting, special sessions were devoted to check the status of the different modules developed within Twin-Control, which are almost finished, and to present the first steps in their integration. In addition, partners had the chance to see a demonstration of the automated Machine Tool characterization test procedure at IK4-TEKNIKER’s lab machine.

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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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