Benchmarking mean-field models available in commercial FE software in application to two-blow forging of IN718 alloy

Reshetov, Aleksey and Bylya, Olga; Madej, Lukasz and Sitko, Mateusz and Perzynsk, Konrad, eds. (2023) Benchmarking mean-field models available in commercial FE software in application to two-blow forging of IN718 alloy. In: Material Forming - The 26th International ESAFORM Conference on Material Forming – ESAFORM 2023. Materials Research Proceedings . Materials Research Forum LLC, POL, pp. 683-692. ISBN 9781644902462 (https://doi.org/10.21741/9781644902479-74)

[thumbnail of Reshetov-Bylya-ESAFORM2023-Benchmarking-mean-field-models-available-in-commercial-FE-software-in-application]
Preview
 Text. Filename: Reshetov_Bylya_ESAFORM2023_Benchmarking_mean_field_models_available_in_commercial_FE_software_in_application.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (2MB)| Preview

Abstract

This paper analyses the potential of standard mean-field models available in commercial FE software Deform®, Forge® and QForm® for a microstructural prediction during multistage forging process of Inconel 718 at conditions close to industrial ones. The special set of experimental trials including heating, forging, reheating and final forging were conducted on 5 MN hydraulic press with detailed measurements of temperature distributions, timings and forging parameters. The microstructure distribution was investigated after each stage of the process (optical and EBSD) and compared with the predictions obtained in three softwares. Standard and optional capabilities as well as limitations and challenges of the models were investigated, and some improvement ideas were proposed.

CORE (COnnecting REpositories)