KI-gestützte Prozessoptimierung in der Massivumformung

authored by: Claudia Glaubitz, Julian Raible, Helena Monke, Marcel Rothgänger, Julius Peddinghaus, Kai Brunotte
Abstract: AI-Supported Process Optimization in Bulk Metal Forming. The subproject “Transparent AI-Based Process Modelling in Die Forging” of the Priority Program (SPP) 2422 of the German Research Foundation (DFG) aims to optimize die forging through the use of artificial intelligence (AI). Currently, material allowances are used to compensate for process fluctuations. Explainable AI models enable the analysis of the interactions between process parameters and geometric deviations and are intended to be used in the future to optimize process and tool design. This can reduce material and energy requirements, contributing increasing sustainability in bulk metal forming.
Organisation(s): Institute of Metal Forming and Metal Forming Machines
External Organisation(s): University of Stuttgart
Type: Article
Journal: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
Volume: 120
Pages: 257-262
No. of pages: 6
ISSN: 0947-0085
Publication date: 20.03.2025
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Engineering, Strategy and Management, Management Science and Operations Research
Electronic version(s): https://doi.org/10.1515/zwf-2024-0124 (Access: Open)
: Details in the research portal "Research@Leibniz University"