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Modeling the Survival of Hard-Alpha Inclusions in Titanium. Ernesto Gutierrez-Miravete, Rensselaer at Hartford Tony Giamei, Belcan Indresh Padmonkar, Rensselaer Hartford Srikanth Bandlamudi, Rensselaer Hartford Mas Hongoh, Pratt & Whitney Brice Cassenti, UTRC and Pratt&Whitney. Outline.
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Modeling the Survival of Hard-Alpha Inclusions in Titanium Ernesto Gutierrez-Miravete, Rensselaer at Hartford Tony Giamei, Belcan Indresh Padmonkar, Rensselaer Hartford Srikanth Bandlamudi, Rensselaer Hartford Mas Hongoh, Pratt & Whitney Brice Cassenti, UTRC and Pratt&Whitney
Outline • Introduction • Model Description • Description of Code • Preliminary Results • Summary
Introduction • Undetected N- and/or O-containing particles in Ti alloys (hard-alpha) can result in catastrophic failure of aircraft engine components. • The process metallurgy of Ti alloys provides many potential sources of N and/or O. • Better understanding of the dissolution behavior of N- and/or O containing Ti inclusions in Ti alloys during thermal processing is required.
Model Description • When N and/or O come in contact with Ti several different phases can form depending on composition and temperature. • The Ti-N phase diagram (Fig 1a). • The Ti-O phase diagram (Fig 1b). • If an isolated N-rich or O-rich seed particle is embedded in a Ti matrix, the various phases appear as concentric layers on the original particle.
Model Description (contd.) • The concentration of impurity decreases with distance from the center of the seed particle. • Dissolution of the resulting layers involves mass transport of N and/or O away from the seed particle. • See Figure 2.
C Flux of N (or O) L x Fig 2 Concentration profile around a dissolving inclusion.
Model Description (contd.) • Assumptions and Limitations • Binary Systems (Ti-N or Ti-O) • Chemical Equilibrium at all Interfaces • All Phases form Ideal Solutions • Temperatures restricted to within beta transus of pure Ti and first peritectic • 882 - 2020 C for Ti-N • 882- 1720 C for Ti-O • Necessary Diffusivity Data Available • Porosity Neglected
Model Description (contd.) • Governing Equation dc/dt = div ( D grad a) dc/dt = div ( grad a*) where c = concentration of N (or O) D = diffusivity of N (or O) a = activity of N (or O) (Fig 3) da* = D da (Fig. 4)
a L C Fig 3
a* L a Fig 4
Model Description (contd.) • Solution Methodology: • Finite Difference, Fixed Domain Method • Fixed Mesh • Explicit Scheme • Physico-Chemical Data: • Phase Diagrams • Diffusivities
Description of the Code • Derived from earlier code MICRO developed at UTRC. • FORTRAN program embedded in a UNIX wrapper. • Code can be used from a computer anywhere anytime via the internet. • Inputs: • Inclusion size and geometry • Inclusion and matrix concentration • Thermal history • Mesh
The GROW Code (contd.) • Outputs • Concentration profiles around inclusion at selected times during specified temperature history • Extent of the various layers as functions of time. • Extent of the diffusion zone surrounding the inclusion as function of time.
Preliminary Results (Ti-N) • 250 micron inclusion with 32 a/o N • Isothermal Hold at 1200 C (Figs. 5a and 5b) • Isothermal Hold at 1600 C (Figs. 6a and 6b) • Isothermal Hold at 2020 C (Figs. 7a and 7b) • Sample Thermal History (Figs. 8a and 8b) t (min) 0 1 5 10 12 13 15 T(C) 2000 1670 1000 1000 1300 1500 1000
Preliminary Results (Ti-N) (contd.) • Two-dimensional system (250 by 1000 micron inclusion). Figs. 9a and 9b. • Three-dimensional system (250 by 500 by 1000 micron inclusion). Figs. 10a and 10b.
Preliminary Results (Ti-O) • 250 micron inclusion with 50 a/o O • Isothermal Hold at 1200 C (Figs. 11a and 11b) • Isothermal Hold at 1600 C (Figs. 12a and 12b) • Isothermal Hold at 1720 C (Figs. 13a and 13b) • Sample Thermal History (Figs. 14a and 14b) t (min) 0 1 5 10 12 13 15 T(C) 2000 1670 1000 1000 1300 1500 1000
Example Runs (Ti-N) (contd.) • Two alternative calculation methods of phase thickness under thermal history (Figs. 15 and 16) • Two alternative calculation methods of phase thickness under isothermal hold at 2020 C (Fig. 17).
Web Enabled Simulation • The code is now being made available for execution within a web browser. • Users can execute the program using their own inputs from anywhere anytime while a single version of the code is maintained in our local server. • See Figs. 18 and 19.
Screen Navigation Process Home Page Select and Execute Program Results Page Select Files for Display Fig. 18
Parametric and Sensitivity Studies • Effect of Initial Seed Particle Size on Extent of Diffusion Zone under Specified Thermal History (Triple Melt VAR). • Effect of Initial Seed Particle Concentration on Extent of Diffusion Zone under Specified Thermal History (Triple Melt VAR).
Summary (contd.) • A mathematical model and associated computer code are now available to investigate the spread of diffusion zones around N- or O-rich inclusion particles in Ti as a function of thermal history, inclusion geometry and composition.