A Caltech Library Service

High- vs. low-fidelity models for dynamic recrystallization in copper

Tutcuoglu, A. D. and Hollenweger, Y. and Stoy, A. and Kochmann, D. M. (2019) High- vs. low-fidelity models for dynamic recrystallization in copper. Materialia, 7 . Art. No. 100411. ISSN 2589-1529.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


We investigate the benefits and limitations of mesoscale models for discontinuous dynamic recrystallization (DDRX) in pure copper at elevated temperature with the two-fold aim of capturing microscale mechanisms and predicting the macroscale mechanical response during severe plastic deformation. Differing strongly in their computational expenses and the underlying constitutive assumptions, we introduce and compare an efficient Taylor model (which treats polycrystals as collections of spatially non-interacting grains) with a Field Monte-Carlo Potts (FMCP) model (which resolves spatially inhomogeneous deformation within grains by an FFT-based treatment). Both approaches are based on the same temperature-aware crystal plasticity model for pure copper and introduce only three model parameters for DDRX. The latter are fitted to stress-strain data from uniaxial compression experiments at elevated temperature levels where DDRX is prevalent. Both models capture grain refinement, texture evolution and the stress-strain history with convincing agreement with experiments. The fully-resolved model has highest accuracy, reveals pronounced texture formation, and captures the gradual formation of high-angle grain boundaries within grains as precursors to subgrain formation. The Taylor model, though being significantly more efficient, fails to capture spatially-correlated features including necklace formation and leads to comparatively high prediction errors. However, at temperatures where migration dominates the recrystallization behavior, we observe compelling agreement between the Taylor model and the FMCP model. Last, we demonstrate how reduced-order models facilitate identifying model parameters of the computationally more expensive models.

Item Type:Article
Related URLs:
URLURL TypeDescription
Kochmann, D. M.0000-0002-9112-6615
Additional Information:© 2019 Acta Materialia Inc. Published by Elsevier Ltd. Received 20 July 2019, Accepted 22 July 2019, Available online 25 July 2019.
Record Number:CaltechAUTHORS:20190725-111817655
Persistent URL:
Official Citation:A.D. Tutcuoglu, Y. Hollenweger, A. Stoy, D.M. Kochmann, High- vs. low-fidelity models for dynamic recrystallization in copper, Materialia, Volume 7, 2019, 100411, ISSN 2589-1529, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:97404
Deposited By: Tony Diaz
Deposited On:25 Jul 2019 18:43
Last Modified:03 Oct 2019 21:31

Repository Staff Only: item control page