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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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News

Virtual Machining and Optimisation Workshop with the AMRC

On March 1st 2018, the AMRC along with the Twin-Control consortium will host a workshop on virtual machining and optimisation at their facilities located near Sheffield, United Kingdom.

The aims of this event are to:

• Share the recent developments on virtual machining and optimisation.
• Discuss how industries are currently using it and what the gaps are.
• Display on-machine demonstration of virtual machining at the AMRC. Read more

Twin-Control seminar at TU Darmstadt: Energy 4.0

On November 27, the first Twin-Control workshop was held at the Technische Universität Darmstadt, aiming to give insight into the Twin-Control project, and focusing on the topic of energy efficiency.

At the workshop, presentations were shared showing current research approaches to utilize Industry 4.0 applications to increasing energy efficiency. Besides that, the sensor-reduced energy monitoring system, where only one single measuring point is sufficient to calculate the power consumption of the components via a Kalman-Filter-based disaggregation approach, was demonstrated in the Twin-Control pilot line ETA-Factory. Read more

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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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