Development of a stress-induced martensitic transformation criterion for a Cu–Al–Be polycrystalline shape memory alloy undergoing uniaxial tension
Source abstract
Abstract
This study presents a criterion for predicting the martensitic variants (MVs) that appear during the stress-induced martensitic transformation (SIMT) in a polycrystalline sample of Cu 11.5% wt. Al 0.5% wt. Be under simple tension. Our criterion is based on crystallographic parameters, such as the crystal orientation and Schmid factor (SF). The displacement vector fields (DVFs) were obtained in the observation system by a mathematical model and were used to distort the boundary of a set of grains. From the DVF, the strain tensor for each grain was obtained, and the strain ratio (SR) in the observation system was calculated. Electron backscattering diffraction (EBSD) measurements were performed to determine the crystal orientation of the grains. The inverse SF was used to determine the in-plane stress transformation diagrams (STDs) for each studied grain. The combination of a balance criterion (BC) and STD provided a criterion that allowed us to predict the possible order of stress-induced MVs formed as a function of the crystal orientation and thermomechanical parameters of the shape memory alloy (SMA) with higher accuracy than when using the criteria separately. To validate our criteria, we tested other researchers published results. Our results were in agreement and were capable of predicting the stress-induced MVs in a polycrystalline SMA.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Shape Memory Alloy Transformations · Microstructure and Mechanical Properties of Steels · Magnetic Properties and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (35)
Show source-provided references
1. General applications of SMA’s and smart materials
2. Introduction to shape memory alloys
3. Characteristics and development of shape-memory alloys heat engine10.1299/jmmp.4.1094 ↗
4. Development of reciprocating heat engine using shape memory alloys10.1299/jee.6.131 ↗
5. Energy conversion in shape memory alloy heat engine Part I: theory10.1106/AMFV-FPQQ-RNBK-EE50 ↗
6. Energy conversion in shape memory alloy heat engine Part II: simulation10.1106/7H9E-GD5D-D3NN-B63R ↗
7. Mechanism of shape memory effect and superelasticity
8. Anisotropy of transformation characteristics of Cu-base shape memory alloys10.1016/S0921-5093(97)00175-5 ↗
9. On the anisotropy of martensitic transformations in Cu-based alloys10.1016/S0921-5093(99)00355-X ↗
10. Physical metallurgy of Ti–Ni-based shape memory alloys10.1016/j.pmatsci.2004.10.001 ↗
11. Equivalent transformation strain and its relation with martensite volume fraction for isotropic and anisotropic shape memory alloys10.1016/j.mechmat.2007.07.005 ↗
12. Shape memory alloys, Part I: general properties and modeling of single crystals10.1016/j.mechmat.2005.05.027 ↗
13. A multivariant micromechanical model for SMAs Part 1. Crystallographic issues for single crystal model10.1016/S0749-6419(00)00013-9 ↗
14. Modeling the effects of stress state and crystal orientation on the stress-induced transformation of Ni–Ti single crystals10.1007/BF02648858 ↗
15. Modeling the transformation stress of constrained shape memory alloy single crystals10.1016/1359-6454(96)00014-6 ↗
16. Micromechanics-based modeling of two-way memory effect of a single crystalline shape-memory alloy10.1016/S1359-6454(96)00172-3 ↗
17. Shape memory alloys, Part II: modeling of polycrystals10.1016/j.mechmat.2005.08.003 ↗
18. A self-consistent model for the stress-strain behavior of shape-memory alloy polycrystals10.1016/S1359-6454(98)00203-1 ↗
19. A three-dimensional phenomenological model for martensite reorientation in shape memory alloys10.1016/j.jmps.2007.03.010 ↗
20. Experiment feedbacks in micromechanics modeling of thermomechanical behaviors of SMA polycrystals10.1016/j.scriptamat.2004.04.022 ↗
21. Grain size and pseudoelastic behaviour of a Cu–Al–Be alloy10.1016/j.matchar.2006.11.009 ↗
22. In situ synchrotron analysis of lattice rotations in individual grains during stress-induced martensitic transformations in a polycrystalline CuAlBe shape memory alloy10.1016/j.actamat.2011.02.037 ↗
23. Constitutive equations for polycrystalline thermoelastic shape memory alloys. Part I. Intragranular interactions and behavior of the grain10.1016/S0020-7683(98)00196-6 ↗
24. Use of digital image correlation to determine the mechanical behavior of materials10.1016/j.matchar.2008.02.002 ↗
25. Micromechanical behavior of CuAlBe shape memory alloy undergoing 3-point bending analyzed by digital image correlation
26. Measurement of local strain heterogeneities in superelastic shape memory alloys by digital image correlation10.1016/j.phpro.2010.11.066 ↗
27. Martensitic transformation criteria in Cu–Al–Be shape memory alloy—In situ analysis10.1016/j.msea.2006.05.085 ↗
28. B. Kaouache (Doctorate thesis), ENSAM, CER de Metz, 2006.
29. J. Cortés (Ph.D. thesis), Facultad de Ingeniería UNAM, Distrito Federal, 2007.
30. S. Belkahla (Ph.D. thesis), INSA Lyon, 1990.
31. H. Flores (Ph.D. thesis), Inst. Nat. Sc. Appl., Lyon, 1993.
32. Orthorhombic lattice deformation of CuAlBe shape-memory single crystals under cyclic strain10.1107/S002188980101384X ↗
33. Thermomechanical behavior of monocrystalline Cu–Al–Be shape memory alloys and determination of the metastable phase diagram
34. Theoretical analysis of the crystallography of the martensitic transformation of BBC to 9R close-packed structure10.2320/matertrans1960.17.435 ↗
35. J. Cortés-Pérez, J.G. González, J. Carrera, H. Flores. Mathematical analysis of experimental results in polycrystalline shape memory samples subject to a simple uniaxial tension test, in: P. Šittner, L. Heller and V. Paidar, Paidar (Eds.), ESOMAT 2009. The 8th European Symposium on Martensitic Transformations, Sciences, 2009, pp. 1–6.10.1051/esomat/200903012 ↗