Process-informed material model selection

نویسندگان

چکیده

Abstract. The efficient development of metal products with high quality usually requires realistic numerical simulations before the manufacturing procedure. choice constitutive model has a considerable influence on predicted material behavior’s description. Several models have been proposed to describe different mechanical phenomena. However, its selection is labored task that expertise. This lack knowledge can lead errors in predictions and, consequently, large costs and delays To overcome this problem, an automatic tool necessary. work aims compare impact their features simulation forming process develop rational systematic strategy for selection. approach focuses study hole expansion test using Abaqus statistical analysis variance (ANOVA). It was possible establish ranking importance types help decision-making parameter calibration accurate predictions.

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ژورنال

عنوان ژورنال: Materials research proceedings

سال: 2023

ISSN: ['2474-3941', '2474-395X']

DOI: https://doi.org/10.21741/9781644902479-148