Characterization of twin boundaries in an Fe–17.5Mn–0.56C twinning induced plasticity steel
Introduction
Twinning-induced plasticity (TWIP) steels came into existence in the late 1990s in the automotive industry's search for materials with advantageous combinations of mechanical properties. Modern automobiles are designed with safety factors such as crumple zones that absorb kinetic energy upon impact, which are meant to protect the occupants during a collision. For this reason the combination of ductility, strength, and energy absorption capacity under high deformation rates is highly desirable. Fully-austenitic TWIP steels strain harden during deformation while still maintaining more toughness and ductility than many other alloys such as dual phase (DP) steel, transformation-induced plasticity (TRIP) steels and other advanced high strength alloys [1], [2], [3], [4], [5], [6]. High yield and tensile strengths can be utilized for weight reduction by reducing material thickness, while ductility can be employed to accommodate increased complexity of component design. The strain hardening rates achievable during plastic deformation of TWIP alloys show a very high capacity for energy absorption during high-rate deformation [1], [2], [4], [7], [8], [9], [10], [11], [12]. Since their fruition, much effort has been made to characterize the properties and performance of TWIP steels to better understand their capabilities and how they may be tailored to meet the needs of different industries and applications.
One major influence on properties and performance of TWIP alloys is the stabilization of deformation twins at room temperature and during mechanical deformation, which is a function of the stacking fault energy (SFE). Annealing twins are also stabilized and are inherently present in the microstructure. The alloy composition, specifically the amounts of manganese (Mn), aluminum (Al), silicon (Si) and carbon (C), as well as deformation temperature, significantly affect the SFE and can be used to tailor which mechanisms, i.e. phase transformation, twinning, or dislocation slip, dominate deformation [4], [12]. The manganese content typically ranges from 15 to 35 weight percent (wt.%) and acts as the main austenite stabilizer. It has been reported that deformation by twinning is favored in the range of 16–40 mJ/m2. Below that the TRIP effect dominates, whereby austenite (γ) changes to hexagonal close-packed (hcp) martensite (ε) and then to body-centered cubic (bcc) martensite (α′) [13]. When the deformation temperature is increased, the SFE is also increased to a level where dislocation slip dominates [12].
Another significant influence on performance is the interaction between dislocations and twin boundaries, as well as interactions between multiple twin systems [4]. When mechanical twins are formed, they impede dislocation motion by reducing the mean free path, increasing the strain hardening rate [2], [4], [5], [6], [7], [9], [12], [14], [15], [16]. Gutierrez-Urrutia et al. observed that deformation twins pass through dislocation cell structures as they form, creating more refined structures in the lattice [5]. As the twins thicken during the deformation process they also decreases the spacing between the individual twins. This refinement of the lattice structure is frequently referred to as the dynamic Hall–Petch effect [6], [9], [12], [13], [14], [15]. Zhu et al. suggested that dislocations of specific orientations can either grow or shrink the thickness of a twin boundary depending on the sample loading parameters and energy barriers, which are a function of the SFE, and may produce zigzag-like steps in the twin as it undergoes cross-slip [16]. Twin–dislocation interactions are very prominent in the lower strain levels, evidenced by a high strain hardening rate and serrations frequently present in the plastic region of the uniaxial stress–strain curve [9]. With higher levels of plastic strain, however, when multiple non-coplanar twin systems have formed in single parent grains, the twin systems begin to interact with one another, preventing further twinning and decreasing the strain hardening rate [4], [6], [9], [12]. Bundles of nano-scale twins and multiple twin systems have been observed in other studies and were expected to be observed here using various methods of electron microscopy [4], [5], [6], [7], [12], [15], [17].
Electron backscatter diffraction (EBSD) is a useful method for obtaining microstructural and orientation data, and has a spatial resolution of approximately 20–30 nm when using field emission sources [5], [18], [19]. Several research groups have successfully used EBSD to image twin bundles in different TWIP alloys [2], [9], [11], [14], [15]. The spatial resolution is limited when a large beam diameter is needed to deliver the necessary probe current, and a highly-deformed lattice structure, as is the case here, decreases the clarity of the diffraction patterns [18]. For this reason, transmission electron microscopy (TEM) is frequently used to image individual nano-scale twins within the bundles [2], [3], [7], [9], [14], [17], [20], [21], [22], [23], [24]. Diffraction spot patterns from TEM can also give useful information on lattice structures and defects. However, thin foil samples are necessary in order for the beam to transmit through the sample, which requires labor-intensive sample preparation.
Electron channeling contrast imaging (ECCI), also a SEM-based characterization technique, has been shown to achieve spatial resolutions much smaller than EBSD when using low accelerating voltage and small working distances (WD) in a low-tilt configuration, but with larger sampling areas and less sample preparation than TEM [5], [13], [19], [25], [27]. The backscattered electron yield, η, also called the electron channeling coefficient, is dependent on crystal orientation and diffraction. The further the primary electron beam can penetrate the specimen, the lower the η because the electrons are less likely to escape from the sample surface. However, if the crystal is oriented in the Bragg condition, penetration will be shallower. The BSEs will lose less energy and the diffraction contrast will be high [26]. Any change in orientation and atomic packing density within the grain, such as twins or bending of the lattice due to strain fields and dislocation structures will cause modulation in BSE yield, thus making it possible to image the defects [26], [27], [28], [29], [30].
For this study, by employing a controlled diffraction technique, explained in further detail in later sections, specific grains are oriented into the Bragg condition to image the deformation twins. Contrast is optimized by using an accelerating voltage between 10 keV and 15 keV, a high current, and a large aperture diameter. Surface deformation and oxidation due to mechanical preparation must also be removed so as not to obscure the microstructure [28]. The BSE yield and thus contrast is also better with a small WD, between 3 and 7 mm, and the sample surface nearly orthogonal to the incident beam [5], [13], [19], [25], [26], [27]. This study uses EBSD, ECCI, and TEM to quantitatively and qualitatively analyze deformation-induced twin boundaries.
Section snippets
Material and Methods
The material examined was an Fe–17.5 wt.% Mn–0.56 wt.% C TWIP alloy. The complete composition is given in Table 1. Small dog-bone shaped samples were made from a 1.3 mm thick sheet using a water jet machining system. The gage length for each sample was 25.4 mm and the gage width was 2.54 mm. A schematic of the samples is given in Fig. 1.
Tensile Testing
Of the tensile samples, the best tensile strain was achieved by TS-0.46 at 0.46 true strain and 1553 MPa true stress, while the best ultimate tensile strength was achieved by TS-0.43 at 0.43 tensile strain and 1599 MPa true stress. Several other studies have reported ultimate tensile strengths of, or greater than, 1000 MPa and failure above 0.60 true strain for various compositions of TWIP steel [1], [4], [9]. It is assumed that surface defects may have limited the amount of total strain in the
Conclusion
In this study, samples of TWIP steel deformed in tension were analyzed using EBSD, TEM, and ECCI in order to characterize the deformation twinning that occurred in the microstructure for various levels of plastic strain. The primary conclusions of the study are as follows:
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Tensile tests were performed at a strain rate of 4 × 10− 3 s− 1. TS-0.46 achieved a UTS of 1553 MPa and the highest final tensile true strain of 0.46, while TS-43 achieved the highest UTS of 1599 MPa and a final tensile true strain
Acknowledgments
The FeMET initiative from AIST for project funding, Dr. X. Sun of Pacific Northwest National Laboratory for supplying the sample material, and Dr. A. Morawiec of the Polish Academy of Science in Krakow for the analysis of the TEM diffraction patterns are greatly appreciated.
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