Microstructure Clones
Authors:
Open Access
- 3 March 2025
- journal article
- research article
- Published by Springer Nature in Experimental Mechanics
- Vol. 65 (5) , 729-742
Abstract
Background: A material’s microstructure drives its material performance. Contemporary crystal plasticity experiments compare full-field strain measurements of polycrystal specimens to models. Because each specimen is unique, it is impossible to know which features of the observed deformation are deterministic vs statistical; thus, differences between model and experiment may or may not be significant. Objective: This paper introduces the invention of microstructure clones. Microstructure clones are 2D oligocrystal specimens that have nearly identical microstructures to remedy the aforementioned experimental limitations. Having specimens with nearly identical microstructures will allow for multiple destructive tests of a microstructure (either as repeats or intentionally different experiments), an ability to “see the future” by providing insight into how a specimen will deform, variability quantification, and experimental investigations of response to small microstructural changes. Methods: This work introduces microstructure clones. Repeatability of these clones is demonstrated in tensile bars of pure nickel. Local strain measurements from digital image correlation are compared between clone specimens and compared to results from a crystal plasticity finite element model. Results: Two sets of microstructure clones were tested in this study and displayed very consistent deformation responses within each clone set. Small observed differences in deformation invite investigation into microstructure stochasticity and the effect of small microstructural and loading differences. Conclusions: Microstructure clones represent a significant shift in understanding structure–property relationships. This work reshapes experimental crystal plasticity to allow for experiments that control for specific variables, quantification of microstructural stochasticity (and other sources of stochasticity), and opportunities for replicating experiments.Keywords
This publication has 30 references indexed in Scilit:
- Grain boundary-mediated plasticity in aluminum films unraveled by a statistical approach combining nano-DIC and ACOM-TEMActa Materialia, 2024
- Identification of crystal plasticity model parameters by multi-objective optimization integrating microstructural evolution and mechanical dataComputer Methods in Applied Mechanics and Engineering, 2021
- Non-deterministic Calibration of Crystal Plasticity Model Parameters2020
- Investigating active slip planes in tantalum under compressive load: Crystal plasticity and slip trace analyses of single crystalsActa Materialia, 2020
- A microstructure based approach to model effects of surface roughness on tensile fatigueInternational Journal of Fatigue, 2019
- Predicting the mechanical response of oligocrystals with deep learningComputational Materials Science, 2019
- Crystal orientation changes: A comparison between a crystal plasticity finite element study and experimental resultsActa Materialia, 2012
- Crystallographic texture evolution in bulk deformation processing of FCC metalsJournal of the Mechanics and Physics of Solids, 1992
- An analysis of nonuniform and localized deformation in ductile single crystalsActa Metallurgica, 1982
- Grain-boundary slide-hardening in zinc bicrystalsJournal of Materials Science, 1968