How can AI-generated recommendations for process variable settings help employees manage processes? The Mittelstand-Digital Center in Hanover explored this question in collaboration with H&T Presspart GmbH & Co. KG. The company manufactures pharmaceutical devices and components. Despite automated aerosol can production, employees remain heavily involved in monitoring process parameters. A solution for the early determination of optimal settings is intended to reduce their workload.
AI, machine learning, process optimization, process parameter tuning
The IPH – Institut für Integrierte Produktion Hannover gGmbH is developing a method for contactless detection of rotational angle and torque on unmodified steel shafts in the "Modimo" research project. This approach utilizes natural surface features of the shaft, employing optical methods to determine the rotational angle. The phase shift of the rotational angles allows for the calculation of the applied torque. This technique aims to enable precise monitoring and control of drives and generators without the need for elaborate mechanical modifications to the shaft.
torque, sensors, optical metrology
