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düspohl

AI supported Producibility Analysis

The aim of this pilot project is the application of artificial intelligence to optimize the set-up process in an automated manufacturing process.

This production line in question is the fully automatic profile wrapping machine RoboWrap, in which robots have replaced the manual positioning of the wrapping rolls, which press the decorative material wetted with adhesive onto the profiles. It is the only profile wrapping machine worldwide that provides the process data needed to derive algorithms for an AI-based system.

Its development began in the early 2000s as a cooperation between düspohl Maschinenbau GmbH and the universities of Bielefeld and Paderborn, the Fraunhofer IEM and Mitsubishi Electric as supplier of the articulated arm robots. According to the current state of the art, the wrapping robot performs the positioning itself during the initial adjustment of the rollers to a profile geometry, using an intuitive interface on a tablet or PC: it teaches it. The combination that produces the optimum wrapping result is saved at the end. If a batch of the same profile geometry is produced again at a later date, it is sufficient to call up the stored recipe. The robots position the pressure rollers automatically, even taking into account the wear marks on the rollers.

The newly launched project within the context of the AI Marketplace is intended to complete the automation and replace the manual teach-in process. Furthermore, it shall be possible to automatically assess the expected producibility of new product specifications. In the first step, the manufacturing system, the set-up process and the availability of production data will be analysed. Subsequently, the software modules and interfaces to be developed are determined. Here, various methods of artificial intelligence are combined to form an overall concept. In a third step, modules for feature extraction, producibility analysis and process parameter prediction are developed and validated. Finally, the project will analyze how the findings can be generalized for the AI Marketplace and thus transferred to other use cases in order to derive a generic application for the platform.

Projects

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Westaflex

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Hella Gutmann

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CLAAS

Artificial Intelligence has the potential to fundamentally change the way we work and operate. CLAAS GmbH & Co. KGaA, an internationally active manufacturer of agricultural machinery, has recognised this potential and is testing a special use case for the integration of AI in Computer Aided Design (CAx) in the AI marketplace together with the Fraunhofer Institutes IEM and IPK.

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Diebold Nixdorf

How can service technicians be optimally supported? A pilot project by Diebold Nixdorf Systems together with Fraunhofer IOSB-INA is dedicated to this question. The aim is to develop an AI application that reads and analyzes service and sensor data from ATMs in the field. Based on this, differentiated repair instructions for service technicians are to be generated. An existing service platform will serve as a database.

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Ubermetrics

The goal of Ubermetrics’ project is an AI application that extracts relevant information from unstructured or semi-structured texts (e.g. online ratings, complaint emails, service reports, complaint reports), analyzes it and makes it systematically available to a developer. The application can be used, for example, in the context of targeted optimization of system components.

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