Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion...

5
CHINA FOUNDRY 300 Vol.6 No.4 Influence of directional solidification variables on primary dendrite arm spacing of Ni-based superalloy DZ125 Male, born in 1979, doctoral candidate. Research interest: directional solidification of superalloy. E-mail: [email protected] Received: 2009-01-10; Accepted: 2009-07-15 *Zhang Weiguo *Zhang Weiguo, Liu Lin, Huang Taiwen, Zhao Xinbao, Qu Min, Yu Zhuhuan, Fu Hengzhi (State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an 710072, China) Abstract: The primary dendrite morphology and spacing of DZ125 superalloy have been observed during directional solidification under high thermal gradient about 500 K/cm. The results reveal that the primary dendrite arm spacing decreases from 94 μm to 35.8 μm with the increase of directional solidification cooling rate from 2.525 K/s to 36.4 K/s. The regression equation of the primary dendrite arm spacings λ 1 versus cooling rate is λ 1 =0.013(GV)-0.32. The predictions of Kurz/Fisher model and Hunt/Lu model accord reasonably well with the experimental data. The influence of directional solidification rate under variable thermal gradient on the primary dendrite arm spacing has also been investigated. Key words: directional solidification; thermal gradient; cooling rate; primary dendrite arm spacing; superalloy CLC number: TG132.3 + 2 Document code: A Article ID: 1672-6421(2009)04-300-05 T he primary dendrite arm spacing of directional solidification materials is a very important microstructural feature that impacts the basic transport phenomena in the mushy zone and the mechanical properties of subsequent cast products. Primary dendrite arm spacings and morphology directly influence the convection in the mushy zone and dominate the occurrence of grain defects, freckle/channel segregates and porosity in the microstructure [1-3] . Thus, the variation of the primary dendrite arm spacings during directional solidification has been extensively studied [4- 10] . Numerous theoretical models have been successively presented to predict the primary dendrite arm spacings based on the imposed solidification parameters. Hunt [11] (1979) and Kurz and Fisher [12-13] (1981) have proposed the theoretical models to characterize the primary dendrite arm spacings based on the imposed process parameters. At high cooling rate, the results predicted by these two theories differed only by a constant. The equations representing these two theories can be expressed respectively as follows: (1) (2) Where D is the solute diffusion coefficient, k is the solute distribution coefficient, c is the alloy solid-liquid interfacial energy, ∆S is the entropy of fusion per unit volume, and m is the slope of the liquidus and C 0 is the alloy composition. G and V are the longitudinal thermal gradient and growth velocity at the aligned dendrite tip, respectively. C is the Gibbs-Thomson coefficient (equal to c / ∆S) and ∆T' and ∆T 0 are the non- equilibrium and equilibrium freezing ranges, respectively. ∆T' is the difference between the tip temperature and the non- equilibrium solidus temperature. Hunt and Lu [14-15] (1996) reported a numerical model to characterize the primary dendritic arm spacings. The model describes steady- or unsteady-state of an axial symmetric dendrite. The analytical relationship of the results from this numerical model is: (3) Where (4) Where V c is the critical velocity at which the interface will break down from a planar to a cellular structure, and a d is a gradient dependent exponential factor. Ma and Sahm [16] (1998) proposed a new analytic model to explain the variation of the primary arm spacing with growth velocity, with the effects of the secondary arm growth on the primary dendrite arm spacing specifically included. From Ma and Sahm’s analysis it was concluded that: (5) Ma and Sahm [16] tested their model and the Hunt and Lu’s model against the experimental data of V 1 vs. V for

Transcript of Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion...

Page 1: Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion coeffi ... made high thermal gradient heater along ... experimental data and theoretical

CHINA FOUNDRY

300

Vol.6 No.4

Infl uence of directional solidifi cation variables on primary dendrite arm spacing of Ni-based superalloy DZ125

Male, born in 1979, doctoral candidate. Research interest: directional solidifi cation of superalloy.E-mail: [email protected]: 2009-01-10; Accepted: 2009-07-15

*Zhang Weiguo

*Zhang Weiguo, Liu Lin, Huang Taiwen, Zhao Xinbao, Qu Min, Yu Zhuhuan, Fu Hengzhi(State Key Laboratory of Solidifi cation Processing, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract: The primary dendrite morphology and spacing of DZ125 superalloy have been observed during directional solidifi cation under high thermal gradient about 500 K/cm. The results reveal that the primary dendrite arm spacing decreases from 94 μm to 35.8 μm with the increase of directional solidifi cation cooling rate from 2.525 K/s to 36.4 K/s. The regression equation of the primary dendrite arm spacings λ1 versus cooling rate is λ1=0.013(GV)-0.32. The predictions of Kurz/Fisher model and Hunt/Lu model accord reasonably well with the experimental data. The infl uence of directional solidifi cation rate under variable thermal gradient on the primary dendrite arm spacing has also been investigated. Key words: directional solidifi cation; thermal gradient; cooling rate; primary dendrite arm spacing; superalloy CLC number: TG132.3+2 Document code: A Article ID: 1672-6421(2009)04-300-05

The primary dendr i te arm spacing of d i rec t ional solidifi cation materials is a very important microstructural

feature that impacts the basic transport phenomena in the mushy zone and the mechanical properties of subsequent cast products. Primary dendrite arm spacings and morphology directly influence the convection in the mushy zone and dominate the occurrence of grain defects, freckle/channel segregates and porosity in the microstructure [1-3]. Thus, the variation of the primary dendrite arm spacings during directional solidification has been extensively studied [4-

10]. Numerous theoretical models have been successively presented to predict the primary dendrite arm spacings based on the imposed solidifi cation parameters.

Hunt [11] (1979) and Kurz and Fisher [12-13] (1981) have proposed the theoretical models to characterize the primary dendrite arm spacings based on the imposed process parameters. At high cooling rate, the results predicted by these two theories differed only by a constant. The equations representing these two theories can be expressed respectively as follows:

(1)

(2)

Where D is the solute diffusion coeffi cient, k is the solute

distribution coefficient, c is the alloy solid-liquid interfacial energy, ∆S is the entropy of fusion per unit volume, and m is the slope of the liquidus and C0 is the alloy composition. G and V are the longitudinal thermal gradient and growth velocity at the aligned dendrite tip, respectively. C is the Gibbs-Thomson coefficient (equal to c/∆S) and ∆T' and ∆T0 are the non-equilibrium and equilibrium freezing ranges, respectively. ∆T' is the difference between the tip temperature and the non-equilibrium solidus temperature.

Hunt and Lu [14-15] (1996) reported a numerical model to characterize the primary dendritic arm spacings. The model describes steady- or unsteady-state of an axial symmetric dendrite. The analytical relationship of the results from this numerical model is:

(3)

Where

(4)

Where Vc is the critical velocity at which the interface will

break down from a planar to a cellular structure, and ad is a

gradient dependent exponential factor.

Ma and Sahm [16] (1998) proposed a new analytic model to explain the variation of the primary arm spacing with growth velocity, with the effects of the secondary arm growth on the primary dendrite arm spacing specifi cally included. From Ma and Sahm’s analysis it was concluded that:

(5)

Ma and Sahm [16] tested their model and the Hunt and Lu’s model against the experimental data of V1 vs. V for

Page 2: Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion coeffi ... made high thermal gradient heater along ... experimental data and theoretical

Research & Development

301

November 2009

directionally solidified succinonitrile-0.35wt.%-acetone, SRR99 superalloy and Pb-Ti alloy, and found that their model gave better agreement. Su R J et al. [17-18] found that although the primary dendrite arm spacings in Al-4.5wt.% Cu quickly adjusted to increase in imposed velocity, the compositional profi les adjusted more slowly. Han and Trivedi [19] investigated the pr imary dendri te spacing adjustment process in succinonitrile-acetone after a sudden increment in velocity, and proposed a new lateral adjustment mechanism.

For simple binary alloys, the effects of solidification

parameters on the primary dendrite arm spacings have been

extensively investigated under very low thermal gradient.

However, for the multi-component alloys with a high melting

point, the effects of solidifi cation parameters on the dendrite

arm spacings are limited under high thermal gradients. In

the present research, the dendritic solidification behavior

of the multicomponent directionally solidified (DS) Ni-

base superalloy DZ125 has been investigated over a range

of imposed cooling rate under high thermal gradient. The

mechanism of the influencing factors has been discussed.

Comparison and discussion have also been given between the

experimental data and the predictions of the theoretical models

on the primary dendrite arm spacing under different thermal

gradients.

1 Experimental The composition of the selected DS superalloy DZ125 is

8.9Cr, 10Co, 7.5W, 1.6Mo, 5.3Al, 0.8Ti, 3.8Ta, 1.5Hf, 0.09C,

0.015B and balance Ni (wt.%). Cylindrical samples with 7 mm

in diameter and 100 mm in length were processed by a linear

cutting machine. The sand ground samples were washed with

acetone, and then placed into a high-purity and thin-walled

alundum tube. Experiments were conducted with a self-

made high thermal gradient heater along with a near rapid

directional solidifi cation apparatus. The thermal gradient about

500 K/cm was created under the experimental condition. The

cooling rates were respectively 2.525, 5.15, 13.17, 24.875 and

36.4 K/s. After solidifi cation, test samples were fi rst polished,

and then etched. Microstructure observation was conducted

under a Leica DM-4000M optical microscope. Quantitative

metallographic analysis was performed with the Sisc IAS V8.0

image analysis system. The primary dendrite arm spacings

were measured in the transverse section of the steady state

region of the samples. In each measurement, at least ten fi elds

of view were selected, and the calculated average was used as

the value of primary dendrite arm spacing.

2 Results and discussion

2.1 Primary dendrite morphologies Figure 1 shows the primary dendrite morphologies of DZ125

alloy at different cooling rates under the high thermal

gradient. It can be seen that the dendritic microstructure of

DZ125 alloy changes from coarse to refined dendrite, then

to superfine dendrite with the increase of cooling rate. The

primary dendrite arm spacing is mainly determined by heat

emission condition at solidifi cation interface during directional

solidification. The stronger the heat emission capability at

solidification interface, the smaller latent heat affected zone

of each dendrite growth, and the smaller the primary dendrite

arm spacing. The heat emission capability at solidification

interface is determined by cooling rate during the directional

(a) 2.525K/s(b) 5.15K/s(c) 13.17K/s(d) 24.875K/s(e) 36.4K/s

Fig. 1: Primary dendritic microstructures at different directional solidifi cation cooling rates under high thermal gradients

(a)

(d) (e)

(b) (c)

Page 3: Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion coeffi ... made high thermal gradient heater along ... experimental data and theoretical

CHINA FOUNDRY

302

Vol.6 No.4

solidifi cation process. The larger the cooling rate, the stronger

the heat emission capability and the smaller the dendrite arm

spacing. Thereby the increase of cooling rate strengthens heat

emission capability, and promotes fi ne dendrite arm spacing.

Meanwhile, the length of solid-liquid phase zone is greatly

reduced with increasing cooling rate, so the further growth of

the primary dendrite arm is suppressed, which serves as a main

cause for the decrease of the primary dendrite arm spacing.

2.2 Primary dendrite arm spacingThe measured values of the primary dendrite arm spacing m1 at different directional solidifi cation cooling rates are shown in Table 1. Figure 1 and Table 1 illustrate that the primary dendrite arm spacing of the DZ125 alloy gradually decreases with increasing cooling rate. The relationship between the primary dendrite arm spacing m1 and cooling rate Vc can be obtained by the nonlinear regression equation:

(6)

Where, the units of m1 and Vc are respectively cm and K/s. The nonlinear regression correlation coefficient is 0.95. The relationship obtained by Kermanpur et al. [20] is m1= 0.013 (Vc)

-0.31 in Ni-based superalloy IN738LC with temperature gradient G=85 K/cm, which is similar to the relationship established in equation (6) [20]. For Al-4.5wt.%-Cu alloy, Su R J et al. [17] found the relationship between the primary dendrite arm spacing and cooling rate at m1= 0.0264 (Vc)

-0.27 with the temperature gradient of 31 K/cm. Liu Y L et al. [21] reported the relationship m1= constant (Vc)

- 0.325 for a Al-Mg alloy system. Kleber et al. [22] obtained the exponential relationship of m1= constant (Vc)

-0.55 in Al-Sn alloy. It can be seen that the exponent of the relationship between primary dendrite arm spacing and cooling rate is related to the composition of alloys and solidifi cation parameters.

Table 1: Value of Vc and λ1 at different solidifi cation rates

V (μm/s) 50 100 255 500 800

Vc (K/s) 2.525 5.15 13.17 24.875 36.4

λ1 (μm) 94 79.5 65.8 43.2 35.8

better agreements with the experimental data. The primary arm spacing predicted by Hunt model is smaller than the experimental data, while that from the prediction of Ma/Sahm model is larger. For cooling rate below 10 K/s, the prediction of Kurz/Fisher model is a little smaller than the experimental data, while the prediction of Hunt/Lu is slightly larger. However, for cooling rate over 10 K/s, an opposite result is obtained. The predictions of Kurz/Fisher model and Hunt/Lu model give better agreements with the experimental data at the cooling rate of 10 K/s.

Because of the difference of origin and the assumptions for each theoretical model, the prediction results are different. The relationship of the dendrite tip undercooling and the primary dendrite arm spacing m1 was obtained in Hunt model, while the steady state diffusion fi eld was calculated by mathematical analysis using Burden-Hunt model. But the main defect of Burden-Hunt model is the assumption that the dendrite tip radius is independent of thermal gradient. Moreover, the minimum undercooling theory used in Hunt model has been negated by subsequent researchers [25]. These are the main reasons of the large error between the prediction of Hunt model and the experimental data. The effects of the secondary dendrite arm growth on the primary dendrite arm spacing were taken into account in Ma/Sahm model, in which the primary dendrite arm spacing was considered to be the sum of the dendrite core diameter and twice the side arm length. But this model assumed that the dendrite core diameter was mostly correlated with dendrite tip radius, and the secondary dendrite arm spacing was evaluated by the analytical method for the primary dendrite arms. Meanwhile, the model assumed that the secondary dendrite arms grew under steady state condition, while the secondary dendrite arms growth was an unsteady process. These are the main reasons for the large error between the prediction of Ma/Sahm model and the experimental data. Kurz/Fisher model was a modifi ed model by the dendrite tip stability criterion and solute equilibrium among the primary dendrite arms, and the dendrite tip radius was dealt with Kurz/Fisher tip radius model. The prediction of Kurz/Fisher model agrees reasonably well with the experimental data by these

Fig. 2: Comparison of the cooling rates dependence of experimental data and theoretical predictions for primary dendrite arm spacing

The estimation of the primary dendrite arm spacing of the DZ125 alloy under the present experimental condition is based on the theoretical models of Hunt, Kurz/Fisher, Hunt/Lu and Ma/Sahm, or the equations (1), (2), (3) and (5) in which the solute partition coeffi cient of DZ125 alloy is 0.83 [23], and the freezing range of DZ125 alloy is 82 K determined by differential scanning calorimetry. The Gibbs-Thomson coefficient is about 1×10-5 cm K for many alloys [24], and the mean diffusion coeffi cient D in the liquid is taken as 2 × 10-5 cm2/s [16]. Figure 2 compares the experimental primary dendrite arm spacing data with the predictions of theoretical models.

It can be seen in Fig. 2 that all data lines, no matter obtained from the experiment or the predictions of theoretical models, have similar trends, that is, the primary dendrite arm spacing decreases with increasing cooling rates. Moreover, the predictions of Kurz/Fisher and Hunt/Lu models provide

Page 4: Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion coeffi ... made high thermal gradient heater along ... experimental data and theoretical
Page 5: Infl uence of directional solidifi cation variables on ... · Where D is the solute diffusion coeffi ... made high thermal gradient heater along ... experimental data and theoretical

CHINA FOUNDRY

304

Vol.6 No.4

Growth, 1992, 123: 17-34.[16] Ma D, Sahm P. Primary spacing in directional solidification.

Metall. Mater. Trans., 1998, 29A: 1113-1119.[17] Su R J, Overfelt R A, Jemian W A. Microstructural and

compositional transients during accelerated directional solidifi cation of Al-4.5 wt pct Cu. Metall. Mater. Trans., 1998, 29A: 2375-2381.

[18] Su R J, Jemian W A, Overfelt R A. Transient effects in the directional solidification of Al-Cu alloys. J. Crystal Growth, 1997, 179: 625-634.

[19] Han S H, Trivedi R. Primary spacing selection in directionally solidifi ed alloys. Acta Metall. Mater., 1994, 42: 25-41.

[20] Kermanpur A, Varahraam N, Engilehei E, Mohammadzadeh M, Davami P. Directional solidification of Ni base superalloy IN738LC to improve creep properties. Mater. Sci. Tech., 2000,16: 579-586.

[21] Liu Y L, Kang S B. Solidification and segregation of Al-Mg alloys and influence of alloy composition and cooling rate.

Mater. Sci. Tech., 1997,13: 331-336.[22] Kleber S C, José E S, Ivaldo L F, Noé Cheung and Amauri

G. Microstructural development in Al-Sn alloys directionally solidified under transient heat flow conditions. Materials Chemistry and Physics, 2008 (109): 87-98.

[23] Li L, Overfelt R A. Influence of directional solidification variables on the cellular and primary dendrite arm spacings of PWA 1484. J. Mater. Sci., 2002, 37: 3521-3532.

[24] Kurz W, Fisher D J. Fundamentals of Sol id i f icat ion . Switzerland: Trans. Tech. Publications, 1992: 65.

[25] Langer J S, Muller-Krumbhaar H. Stability effects in dendritic crystal growth. J. Crystal Growth, 1977, 42: 11-14.

[26] Du W, Wei P Y, L i J G, Fu H Z . Mic ros t ruc ture and microsegregation of Ni-base single crystal superalloy solidifi ed at medium cooling rate. Acta Metal. Sin., 1998,34: 356-361.

[27] Bhambri A K, Kattamis T Z, Morral J E. Cast microstructure of Inconel 713C and its dependence on solidifi cation variables. Metal. Trans. B., 1975, 6: 523-537.

This project is financially supported by the National Natural Science Foundation of China (50771081, 50827102) and the National Basic Research Program of China (2006CB605202)