Validation of Automatically Generated Forging Sequences by Using FE Simulations

verfasst von

Yorck Hedicke-Claus, Mareile Kriwall, Jan Langner, Malte Stonis, Bernd Arno Behrens

Abstract

To increase the economic efficiency in the production of geometrically complicated forgings, material efficiency is a determining factor. In this study, a method is being validated to automatically design a multi-staged forging sequence initially based on the CAD file of the forging. The method is intended to generate material-efficient forging sequences and reduce development time and dependence on reference processes in the design of forging sequences. Artificial neural networks are used to analyze the geometry of the forging and classify it into a shape class. Result of the analysis is information on component characteristics, such as bending and holes. From this, special operations such as a bending process in the forging sequence can be derived. A slicer algorithm is used to divide the CAD file of the forging into cutting planes and calculate the mass distribution around the center of gravity line of the forging. An algorithm approaches the mass distribution and cross-sectional contour step by step from the forging to the semi-finished product. Each intermediate form is exported as a CAD file. The algorithm takes less than 10 min to design a four-stage forging sequence. The designed forging sequences are checked by FE simulations. Quality criteria that are evaluated and investigated are form filling and folds. First FE simulations show that the automatically generated forging sequences allow the production of different forgings. In an iterative adaptation process, the results of the FE simulations are used to adjust the method to ensure material-efficient and process-reliable forging sequences.

Externe Organisation(en)

Institut für integrierte Produktion Hannover (IPH) gGmbH

Typ

Aufsatz in Konferenzband

Seiten

2867-2881

Anzahl der Seiten

15

Publikationsdatum

2021

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Elektronische, optische und magnetische Materialien, Energieanlagenbau und Kraftwerkstechnik, Werkstoffmechanik, Metalle und Legierungen, Werkstoffchemie

Ziele für nachhaltige Entwicklung

SDG 8 – Anständige Arbeitsbedingungen und wirtschaftliches Wachstum, SDG 12 – Verantwortungsvoller Konsum und Produktion

Elektronische Version(en)

https://doi.org/10.1007/978-3-030-75381-8_238 (Zugang: Geschlossen)