

At the Assembly Show, booth no. 1337, EMG Presses launched an innovation dedicated to the needs of monitoring and total traceability of industrial processes. EMG offers a range of force and/or displacement management solutions combining force and displacement sensors connected to a display for 100% part control. This new equipment enables permanent and accurate quality control and anomaly detection on rack and pinion, toggle or pneumatically operated bench machines used in manual, automated or semi-automated workstations. Suitable for use in the most challenging industrial environments, this plug-and-play solution enables the production of compliant parts right from the manufacturing stage and includes multiprogram management, sequence programming, statistics provision and can be an important part of any SPC process. “At a time when production lines are undergoing digital transformation, we had to offer an agile and easily integrable solution,” said Ugo Baldassini, U.S. and Canada EMG sales manager. “The complete ‘EMG-CONTROL’ ecosystem is a turnkey solution, which, as a first or second fit, enables manufacturers to digitize their workshops independently.”
EMG-CONTROL offers a wide variety of standard measurement applications, either simple or combined, such as force, force and distance, force/time, and distance/time. Measurements can be displayed in the form of bar graphs, smileys, numerical values, curves, and allow the user to view measurement history in real time in graph form. A sequence editor allows total control over the display and measurement process. Anomalies are detected immediately if the required parameters are not met. This signal allows the operator to immediately isolate the non-compliant part. The plug-and-play sensor with TEDS (Transducer Electronic Data Sheet) technology is self-calibrating and, when connected to the display, is automatically recognized and configured, eliminating the need for manual configuration. The information is stored in the control unit and can be exported to a PC for analysis, statistics or archiving purposes.
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