Advances in Materials Science and Engineering
Volume 2018 (2018), Article ID 8632580, 7 pages
https://doi.org/10.1155/2018/8632580

Research Article

Experimental Evidence of Precipitation of All 12 Variants in a Single β Grain in Titanium Alloys

Yi Chen,1,2,3,4 Hongchao Kou,⁵ Liang Cheng,¹ Yunlong Zhang,¹ Yun Yu,¹ Yalin Lu,¹ and Fuxian Zhu¹

¹School of Materials and Engineering, Jiangsu University of Technology, Changzhou 213001, China
²IMDEA Materials Institute, Madrid 28040, Spain
³Polytechnic University of Madrid, E.T.S. de Ingenieros de Caminos 28040, Madrid, Spain
⁴Sunnywell (China) New Material Technology Co., Ltd., Changzhou 213000, China
⁵State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an 710072, China

Correspondence should be addressed to Yi Chen; webchenyi@hotmail.com

Received 28 May 2018; Revised 5 September 2018; Accepted 25 October 2018; Published 11 November 2018

Academic Editor: Michael J. Schütze

Copyright © 2018 Yi Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

The effect of the changing of the local composition of the β matrix on the precipitation of the α phase has been investigated by electron backscatter diffraction (EBSD) to obtain more insight in the nucleation and variant selection of these α plates based on the Ti-5.04Al/Ti-1.52Mo (at.%) diffusion couple. The results showed that the composition gradient was formed from one side of the diffusion couple to another side after diffusion annealing. Followed by a secondary heat treatment process, it was found for the first time that all 12 variants formed in a single β grain in the diffusion zone in the Ti-5.04Al/Ti-1.52Mo diffusion couple, which indicated that the changing of the local composition of the β matrix significantly weakened the α variants selection behavior.

1. Introduction

The requirement of the high-performance airplane accelerates the application of titanium alloys due to their high specific strength together with the extraordinary corrosion resistance [1, 2]. It is well known that the precipitate of the phase from β grains directly affects the properties of the titanium alloys, which results in a considerable amount of interest in the precipitation mechanism of the phase [3–6].

During the β to phase transformation process, the precipitates are well known to be formed according to the Burgers orientation relationship (BOR), which implies the parallelism of dense planes and direction of both phases: (011)β//(0001)α and // [7, 8]. Because of the symmetry of the and β phases, 12 crystallographic orientations can form in a single parent β grain, called 12 α variants. When all α variants in a β grain occur with equal statistical probability, the transformation is said to evolve without variant selection [3]. However, it is unable to observe all 12 variants in a β grain in real alloys, which means the variant selection is always taking place during transformation in titanium alloys [6, 9, 10]. The variant selection will then result in the strong α transformation texture. Due to the high anisotropy, the mechanical properties of titanium alloys depend strongly on the texture of the α phase caused by the variant selection [11, 12]. It is indicated that the random α texture distribution in the β matrix will significantly improve the fatigue resistance and creep performance of titanium alloys [13, 14]. Therefore, the weakening of variants election during thermomechanical processing plays a key role to control the α texture in the final products and enhance their mechanical properties.

A variety of factors could contribute to variant selection during α precipitation, including external or residual stresses on the β matrix caused by the thermomechanical processing [15], heterogeneous nucleation on preexisting defects in the β matrix, and so on [5, 16, 17]. However, recent researches show that introducing those factors will accelerate the variant selection [18–20]. For example, the effect of the stresses on the variant selection was proposed by Shi et al. [18]. In this work, it was found that the interplay between externally applied stress or strain and internal stress generated by the precipitation reaction itself will result in the variant selection due to the difference of the elastic interaction energy of each variant. Furthermore, Qui et al [20] found that the dislocations on the β matrix significant influence the variant selection during α precipitation in titanium alloys due to the elastic interaction between α precipitates and dislocations.

Based on the phase transformation theory, the nucleation of α from β matrix should first satisfy the composition fluctuation condition [21]. Therefore, the local composition of the β matrix also will affect the nucleation of the α phase. Due to the existence of limited work in the literature, the main objective of this paper is to study the effect of the changing of local composition of the β matrix on the precipitation of the α variant.

In this paper, the changing of local composition of the β matrix was performed by the diffusion annealing of the Ti-5.04Al/Ti-1.52Mo (at.%) diffusion couple. Then, after a secondary heat treatment, the precipitation of α in the β matrix was studied.

2. Experimental

In our previous study [22], a new high throughput method named “kinetic diffusion couple” (KDC) was designed for rapidly mapping microstructural and mechanical properties in Ti-Al-Mo systems by using the same Ti-5.04Al/Ti-1.52Mo (at.%) diffusion couple studied in this paper. Thus, we followed the methods of our previous study [22] for preparing the diffusion couple in this paper, and the details were as follows. The Ti-5.04Al (at.%) and Ti-1.52Mo (at.%) alloys of the Ti-5.04Al/Ti-1.52Mo (at.%) diffusion couple were prepared from 99.9% sponge Ti, 99.99% Al, and 99.9% Mo (mass %) by arc melting in an argon atmosphere. The arc melting was repeated ten times to attain a homogeneous composition. The ingots were solid-solutioned at 1200°C for 8 hours under vacuum followed by water quenching for the further homogenization. The small cylinder samples of the Ti-5.04Al and Ti-1.52Mo alloys were cut from the ingots by a size of φ 15 × 5 mm by using wire-electrode cutting. Then, those small disks were prepared by polishing one surface of the cylinder samples to mirror-like quality. The well-contacted diffusion couple was then assembled with the small disks under vacuum at 900°C for 90 min with a load of 10 MPa on a vacuum diffusion bonding and hot pressing system. The diffusion couple was sealed into quartz capsules (evacuated and then back flushed with argon) and then was subjected to long-term diffusion annealing at 1250°C for 12 hours followed by quenching in ice water. The diffusion couple was then sectioned in half parallel to the diffusion direction which suffered no oxidation and evaporation of elements and polished by standard metallographic techniques. The local composition was analyzed by electron microprobe analysis (EPMA) on JEOL JXA 8900 at the assigned area.

In order to avoid oxidation, the samples were sealed into quartz capsules again before the secondary heat treatment for introducing the β to α phase transformation process. The diffusion couple was first solution treated above α/β phase transformation temperature to obtain a fully β single-phase microstructure, and then cooling was performed by furnace cooling to 700°C followed by water quenching for precipitating the appropriate α phase. Considering the α/β phase transformation temperature of each alloy in the Ti-5.04Al/Ti-1.52Mo diffusion couple, the solid-solution treatment was performed at 980°C for 15 min.

The surface of the Ti-5.04Al/Ti-1.52Mo diffusion couple was then carefully prepared by polishing with several diamond paste of decreasing size followed by a final polishing with a colloidal silica suspension of 0.02 μm. The precipitation of α in the central diffusion zone was determined by the electron backscatter diffraction (EBSD) using a FEI Helios NanoLab 600i with a HKL-Channel 5 system.

3. Results and Discussion

After long-term diffusion annealing at 1250°C for 12 hours followed by quenching in ice water, the concentration profiles of the Ti-5.04Al/Ti-1.52Mo diffusion couple are first measured by EPMA, as shown in Figure 1. It can be seen that the long-term diffusion annealing results in a large composition gradient in the diffusion zone in the Ti-5.04Al/Ti-1.52Mo diffusion couple, which obviously causes the changing of local composition on the β matrix. Then, the effect of the changing of local composition of the β matrix on the α variant selection can be studied after a secondary heat treatment process based on those composition gradients.

Figure 1: Compositional dependence of the microstructure in the Ti-5.04Al/Ti-1.52Mo diffusion couple after 12 h annealing at 1250°C followed by the secondary heat treatment.

Figure 1 also shows the microstructure in the diffusion zone of the Ti-5.04Al/Ti-1.52Mo diffusion couple after the secondary heat treatment. In the secondary heat treatment process, the solid-solution treatment at 980°C results in a fully β single-phase microstructure formed in the diffusion zone. Then, the α phase gradually precipitates in the β matrix during the furnace cooling process. It can be seen in Figure 1 that the significant microstructure gradients formed in the diffusion zone due to the changing of local composition of the β matrix. The volume fraction and width of α gradually decrease from the Ti-5.04Al side to the Ti-1.52Mo side of the diffusion couple.

Because only the orientation information of the α phase in a single β grain can be used for the studying the variant selection behavior, a series of small areas are selected for the EBSD test. From those tested EBSD results, the area marked by the red rectangle in Figure 1 is selected for the analysis due to the reason that only one single β grain existed in this area, as shown in Figure 2. From the left to right in the red rectangle, the measured composition of Al decreases from 0.4% to 0.29% with an average composition of 0.34%, while the composition of Mo increases from 1.23% to 1.27% with an average composition of 1.24%. The pole figure of the β matrix in Figure 2(b) confirmed that there is only a single β grain. Figure 3 shows the analysis of the pole figures of the α variants, in which it can be seen that all 12 α variants were observed in one β grain, which means that there is no variant select phenomenon. The 12 α variants are confirmed by calculating the orientation relationship of the β grain and α variants based on the pole figures in Figures 2(b) and 3 (Table 1). Through the literature research [3–5, 9, 16, 17], this is the first observation that all 12 variants formed in one β grain in titanium alloys during the annealing process.

(a)

(b)

Figure 2: EBSD analysis of the α precipitates in the Ti-5.04Al/Ti-1.52Mo diffusion couple: (a) Euler orientation map; (b) pole figure of the β matrix.

(a)

(b)

(c)

(d)

(e)

(f)

Figure 3: EBSD analysis of the 12 α variants with different orientations in Figure 2.

Table 1: Euler angles and Burgers orientation relationship of all 12 variants.

Variants
Euler angle
Orientation relationship
3D orientations

BCC
(151.2, 33.8, 26.6)

V1
(38, 21.1, 49.3)

V2
(37.4, 19.6, 39.3)

V3
(171.4, 76.4, 39.3)

V4
(170.9, 76.1, 51)

V5
(51.1, 140.2, 36)

V6
(49.8, 140.4, 44.8)

V7
(130.7, 121.6, 43.2)

V8
(130.3, 121.8, 54.2)

V9
(47.1, 79.5, 33.5)

V10
(46.0, 79.2, 22.8)

V11
(107.5, 65.3, 2.7)

V12
(107.5, 66.5, 51.6)

As in the earlier study [18], the scientists thought that all α variants in a β grain occur with equal statistical probability in titanium alloys. However, it is unable to observe all 12 variants in a β grain in real alloys, which means the variant selection always takes place during transformation in titanium alloys [9, 18, 19]. The previous work from Shi and Wang [18] and Qui et al [20] conformed that difference of the elastic interaction energy of each variants is the key factor in the formation of the variant selection during α precipitation.

Based on the phase transformation theory [21], the total free energy change during the β to α phase transformation process can be expressed by

where is the volume free energy reduction, is the released free energy when nucleation is in the defects, is the interfacial energy when the creation of an area of interface is during the to phase transformation process, while is the elastic energy caused by misfit between the interface of and . From Equation (1), the to phase transformation can only proceed when the driving force is large than the activation energy barrier . When variants precipitate in the matrix, the elastic energy will be changed due to the different orientation of the variants [18, 20], which will then cause the difference in the activation energy barrier of the different variants. In titanium alloys, the activation energy barrier of certain variants is larger than the driving force during the to phase transformation process, which finally causes the variant selection [9, 18, 19].

However, this work shows that the variant selection was eliminated when there has a composition changing in the single β grain. The reason can be indicated as follows. In this study, the formation of all 12 variants in one single β grain in Figure 3 means that an extra free energy existed in the β to phase transformation in this single β grain, which results in the total driving force larger than the activation energy barrier of the all 12 variants. As shown in Figure 1, the composition of the single β grain in Figure 2 is gradient changing from one side to another side. The inhomogeneous composition apparently will result in the high free energy in this single β grain when comparing with the grains with homogeneous composition, which will cause the increasing of the volume free energy reduction in Equation (1), and the driving force will then be increased. The change in gradient composition in this single β grain also will accelerate the diffusion of the alloying elements during the β to phase transformation process, which leads to fluctuation in the composition condition of nucleus more easily, and then, the nucleation of from β matrix can be promoted. Therefore, when the phase nucleates in this single β grain, the extra released free energy caused by the inhomogeneous composition, combined with the accelerated diffusion of the alloying elements, will lead to the total nucleation energy larger than the activation energy barrier of all the 12 variants, after which 12 variants formed.

As a final point, it is very interesting to observe that all 12 α variants simultaneously precipitated in one β grain when the composition changed in the β matrix, meaning the weakening of variant selection during the β to α phase transformation process, which is implicated in the enhance of the fatigue resistance and creep performance of titanium alloys [13, 14].

4. Conclusion

In this paper, the effect of the changing of the local composition of the β matrix on the precipitation of α phase has been investigated by using the Ti-5.04Al/Ti-1.52Mo (at.%) diffusion couple.

(1)After long-term diffusion annealing, a large composition gradient formed in the diffusion zone in the Ti-5.04Al/Ti-1.52Mo diffusion couple causes the changing of local composition on the β matrix. After the secondary heat treatment process, the precipitation of α also shows the gradient variation in the diffusion zone due to the changing of local composition of the β matrix.(2)The first observation that all 12 variants formed in one β grain is confirmed by the EBSD analyzing in the diffusion zone in the Ti-5.04Al/Ti-1.52Mo diffusion couple due to the changing of the local composition of the β matrix. When the α phase nucleates in this single β grain, the extra released free energy caused by the inhomogeneous composition will lead to the total driving force larger than the activation energy barrier of all the 12 α variants, combined with the accelerated diffusion of the alloying elements, which finally results in the formation of all 12 α variants.

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like to thank the National Natural Science Foundation of China (Grant no. 51601077) and the Natural Science Foundation of Jiangsu Province (Grant no. BK20160291) for the financial support. This work was also supported by the fund of the State Key Laboratory of Solidification Processing in NWPU (Grant no. SKLSP201743) and the Jiangsu Planned Projects for Postdoctoral Research Funds (Grant no. 1701006B).

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