Superalloys

 
 
 

Among our competences is the simulation of precipitation evolution in various polycrystalline and single-crystal, wrought and cast Ni-base superalloys. For instance, we tackle the role of primary precipitates, formed during casting, and evaluate the particle distributions of multimodal precipitation. Further, we can propose processing parameters such as proper homogenization times. Based on our precipitation simulations, we are able to predict materials properties such as yield strength, as well as the microstructural evolution of the material.

Some examples demonstrating our competence in the Ni-base superalloys process simulation include:

 

Solidification of Ni-based alloy IN718
Figure 1: ME-Ni prediction of primary phases formed during continuous casting of Ni-base superalloy IN718. Laves-phase (Ni,Cr,Fe)2(Nb,Mo) forms as primary particle due to segregation. In equilibrium, this phase is stable in a narrow temperature range around 1000°C in IN718.
Homogenization of Ni-based alloy PWA 1480
 
 

On some occasions that the material is not homogeneous or by typical examples of the cast materials with microsegregation, the existing composition gradients in the system can be disappeared with various time-temperature process cycle(s). Depending on the target, it might bring advantages or disadvantages for the material. It is possible to predict in advance the outcome and consequence of the process cycle(s).

With available data for chemical potentials and mobilities of the system components, the diffusion processes leading to the microstructure homogenization can be simulated. The concentration profiles for various annealing times at various temperatures can be estimated. Moreover, it is possible to perform the precipitates kinetics simulation in this changing environment to realize the consequential microstructural evolution.

Homogenization of Ni-based alloy PWA 1480: We use our thermodynamic and diffusion databases in “cell simulations” to predict requirements of homogenization heat treatments of cast alloys. The results of these “cell simulations” with ME-Ni database represent, for instance, the development of temperature-dependent element diffusion profiles between dendrite core and interdendritic area of a cast single-crystal Ni-base superalloy as a function of annealing time.

            

The metallographical picture of the PWA 1480 alloy structure with etched dendrite structure (bright cross-shapes) cut along (001) of the fcc matrix structure. A one-dimensional diffusion profile along the A-B cross-section simulated with MatCalc for the sample homogenized at 1300°C for various time periods are shown below. Sample is homogenized after 10 hours.
Multimodal precipitation in alloy Udimet720
 
 

 Our characterizations of microstructures, precipitate distributions and types of precipitates by metallographic techniques and transmission electron microscopy support our simulation results on precipitate sizes and distributions, such as bimodal to multimodal particle distribution in some solution-treated single-crystal Ni-base alloys, evolving during continuous cooling.

 

Figure1: Energy filtered transmission electron microscopy (EFTEM) picture of the multimodal gamma prime precipitate distribution.

 

Figure2: Simulated multi-modal distribution of gamma´ precipitates during continuous cooling with 0.1°C/s in technological Ni-base superalloy Udimet720.

Figure3: Simulated size of secondary precipitates in Udimet720 compared with experiments.

 

Yield strength evolution in Allvac 718Plus
 
 

 

Figure1: Evolution of total yield strength of a solution-treated technological Ni-base superalloy due to γ´ precipitation during isothermal aging. Lines are simulated, symbols are from experiment.

We evaluate matrix compositions in good agreement with experimental data. Combined with collected strengthening coefficients, our quantitative simulation results enable the prediction of solid solution strengthening.

Figure2: Prediction of solid solution strengthening in aged wrought Ni-base superalloy IN718.

 

Characterization and identification of precipitated phases by use of electron diffraction and HRTEM
 
 

Single crystal superalloy alloy: γ’ precipitates

Fig. 1 shows a TEM bright field overview of a single crystal creep resistant superalloy with coherent cuboid γ’-precipitates. The size, shape and aspect ratio of these secondary precipitates are characterized.

Figure1: TEM bright field image of γ’ precipitates in a Ni-base single crystal alloy.

The use of electron diffraction and dark field imaging reveals tertiary precipitates in the channels between the secondary cuboids (see Fig. 2).

Figure2: TEM dark field image of Ni-base single crystal alloy with nano-sized tertiary γ’ particles in channels between the secondary cuboids.

Polycrystalline superalloy: γ’’ precipitates

Fig. 3 shows three grains (different contrast values) with precipitates in a polycrystalline superalloy.

Figure3: TEM bright filed image of polycrystalline Ni-base alloy with platelet shaped γ'' precipitates in three neighboring grains.

Using electron diffraction (Fig. 4) the precipitates are identified as γ’’. The strong diffraction spots belong to the Ni matrix, the weaker spots result from the γ’’ precipitates.

Figure4: Diffraction pattern of the dark grain in Fig. 3. Weak diffractions spots between the strong ones (Ni matrix) are related to the γ'' precipitates.

Fig. 5 shows a TEM dark field image using the diffraction spot marked in Fig. 4. All precipitates have bright contrast and allow the obtaining of local number densities and volume fractions.

Figure5: TEM dark field image of γ'' precipitates (bright lines).

High Resolution TEM (HRTEM) imaging in Fig. 6 is used to detect coherency, strain fields on the interface between matrix and precipitate and crystal defects.

Figure6: HRTEM image of a semi-coherent γ'' precipitate.
Multimodal distribution of γ’ precipitates in Udimet 720 Li

Our characterizations of microstructures, precipitate distributions and types of precipitates by metallographic techniques and transmission electron microscopy support our simulation results on precipitate sizes and distributions, such as bimodal to multimodal particle distribution in some solution-treated single-crystal Ni-base alloys, evolving during continuous cooling.

Figure1: Energy filtered transmission electron microscopy (EFTEM) picture of the multimodal gamma prime precipitate distribution.

Figure2: Simulated multi-modal distribution of gamma´ precipitates during continuous cooling with 0.1°C/s in technological Ni-base superalloy Udimet720.

Figure3: Simulated size of secondary precipitates in Udimet720 compared with experiments.
 

Figure: Dendrites in etched single-crystal superalloy PWA1480, cut normal to growth direction.
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