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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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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

Twin-Control plenary meeting at MASA

Last month, the Twin-Control consortium gathered for the 24th month plenary meeting at MASA facilities in La Rioja, Spain, a company specialized in the manufacturing of parts for the aerospace industry. According to project coordinator Mikel Armendia, Twin-Control goes as planned and, after two years of technical developments, is now entering the industrial demonstration phase.

In the last months, MASA, PREDICT and ARTIS carried out a special effort to prepare the demonstrations that were shown at the meeting. 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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