Bluetooth

Load carriers are essential for transporting manufactured parts in manufacturing companies. Despite their ‘simplicity’, they are usually expensive to purchase as they are manufactured expressly to fit purpose. While tracking methods such as GPS tracking can be used to prevent the loss of load carriers, this is associated with monitoring costs and presents challenges with regard to data protection as soon as the work performance of intralogistics employees is monitored. Assigning load carriers to designated clusters and monitoring these clusters provides an effective solution—without drawing conclusions about employee performance. Furthermore, artificial intelligence can optimize this approach whilst also deterring the theft of load carriers.

Rising demands for productivity and precision are leading to new machine concepts and processing strategies for tool machines. To meet the new request of these technologies all involved sub-systems must be taken into account for the development, also the clamping jig, which was neglected badly during the past. So one part of the research project “MaschinenbauInitiative Next Economy” was the development of a hydraulic clamping jig for dry milling processes, which can be integrated into compensation concepts of tool machines very easily. As a result, the demonstrator can hand over data of temperatures, positions and forces to the PLC without need of an excessive amount of additional hard and software.