| Summary: | At the current state of the art, the roll bending of heavy plates is mainly controlled and monitored manually. By automating these tasks, the economic efficiency of the process can be increased significantly. For this reason, the industry is looking for a solution to modernize the used machine tools. Therefore, in this paper, an AI-based prognosis model and an associated optical monitoring system were developed. The prediction model assists the plant operator by calculating the expected forming result. Here, it is trained with empirical process data, determined by the monitoring system. The two components were tested numerically and experimentally.
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