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 …Read More
Tag Archives: industry 4.0
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 …Read More
Source: Fraunhofer – Hannover Messe Preview 2017 With an innovative new concept, researchers of the Fraunhofer Institute for Production Systems and Design Technology IPK want to turn the vision of Industrie 4.0 into reality. A digital twin models the entire production process and permits direct intervention into manufacturing at all times. Real and virtual production merge into an intelligent overall system. A virtual twin simulates the entire production system Bidirectional …Read More
An interview with Florent Barbier from PREDICT. For more than 17 years, this company based in France has specialized in digital solutions regarding Condition Based Monitoring (CBM), Prognosis & Health Management (PHM) and Fault Tolerant Control (FTC).
Source: DMG Mori Last year, DMG MORI presented an Industry 4.0 project developed in collaboration with its technology partners. Based on the DMC 80 FD duoBLOCK®, DMG MORI presented a machine tool equipped with more than 60 sensors that transmitted digitised information on components from the sensors to the cloud for the purposes of data collection, storage and analysis. The objective was constant status monitoring within the machine. The app-based …Read More