Microscale simulation of stray grain formation in investment cast turbine blades

Yang, Xinliang; DONG, H; WANG, W; LEE, P

doi:10.1016/s0921-5093(04)00914-1

Cited by 96 publications

(27 citation statements)

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“…The mesoscale model has previously been validated against experimental results reported elsewhere [13].…”

Section: Mesoscale Modelmentioning

confidence: 99%

The Sensitivity of Investment Casting Simulations to the Accuracy of Thermophysical Property Values

Yang¹,

Lee²,

Brooks³

et al. 2004

Superalloys 2004 (Tenth International Symposium)

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In this study, the importance of the accuracy of the thermophysical property to a simulation of an investment cast directionally solidified nickel-based superalloy turbine blade was investigated. CMSX-4 was chosen as the base alloy. The effect of the thermophysical properties on the thermal field and solidification microstructure was studied using a coupled macromesoscale model. Relevant thermophysical properties examined include density, specific heat (enthalpy) and thermal conductivity in both the liquid and the solid phases. Commercial finite-element analysis software, ProCAST, was used as the macroscale model to solve the heat and mass transportation equations. An in-house mesoscale code was used to simulate the dendritic solidification structure including microsegregation. During the macroscale analysis, the simulation results were compared to an idealized turbine blade previously cast under industrial conditions. In the mesoscale simulation, the response of primary arm spacing and segregation range was examined. The temperature prediction and the thermal gradient in the liquid show the greatest sensitivity to density and solid state thermal conductivity. Primary arm spacing is most sensitive to density and specific heat. Segregation range shows greatest sensitivity to density and thermal diffusivity in the solid.

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“…The mesoscale model has previously been validated against experimental results reported elsewhere [13].…”

Section: Mesoscale Modelmentioning

confidence: 99%

The Sensitivity of Investment Casting Simulations to the Accuracy of Thermophysical Property Values

Yang¹,

Lee²,

Brooks³

et al. 2004

Superalloys 2004 (Tenth International Symposium)

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“…However, the application of restrictor selector has been limited due its lower degree efficiency, resulting a longer length for selecting a single grain [17]. Around the corners of the angled selector, new grains often nucleate due to the sudden change in growth direction [18,19]. In the wax injection stage, the spiral selector cannot be integrally fabricated with the blades, because of the complex, three-dimensional (3D) shape of the spiral.…”

Section: Introductionmentioning

confidence: 99%

Grain Orientation Optimization of Two-Dimensional Grain Selector during Directional Solidification of Ni-Based Superalloys

et al. 2020

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The grain selection method is widely used in industry to produce Ni-based single crystal superalloys. A Z-form two-dimensional (2D) grain selector was designed to obtain high-quality single crystals. To control grain orientation deviation, one of the most important defects of the single crystal superalloys in casting, Z-form 2D grain selectors with different take-off angle were investigated in this study. The MM247LC superalloy single crystal samples were obtained by the Bridgman method modified by the Z-form grain selectors in this study. The Electron Backscattered Diffraction (EBSD) and the Optical Microscopy (OM) were used to observe and measure the grain selection growth and the microstructural evolution and orientation of the single crystal were also discussed. The results show that a Z-form 2D grain selector with an appropriate take-off angle can significantly reduce the deviation of the grain orientation. A single crystal superalloy with a deviation angle less than 6° can be obtained effectively when the take-off angle was 40°.

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“…Based on the investment casting technology and the rapid manufacturing capability of 3D printing technology, this paper selects the melt deposition forming (FDM) technology and the light curing molding technology (SLA) through comparison and analysis [18][19][20]. The methods of manufacturing wax molds in traditional investment casting (non-directional solidification) and single crystal casting (directional solidification) have both been studied and improved [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Dimensional Tolerance of Casting in the Bridgman Furnace Based on 3D Printing Techniques

Zhu

Wang

et al. 2020

Metals

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In this article, the feasibility and the dimensional accuracy based on the 3D printing technology during investment casting of non-vacuum and Bridgman furnace are investigated based on the coordinate measuring machine to calculate the dimensional tolerances through a systematic approach. The research proved that both the investigated RC solutions are effective at obtaining cast technological prototypes in short times and at low cost, with dimensional tolerances that are completely consistent with metal casting processes.

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Microscale simulation of stray grain formation in investment cast turbine blades

Cited by 96 publications

References 0 publications

The Sensitivity of Investment Casting Simulations to the Accuracy of Thermophysical Property Values

The Sensitivity of Investment Casting Simulations to the Accuracy of Thermophysical Property Values

Grain Orientation Optimization of Two-Dimensional Grain Selector during Directional Solidification of Ni-Based Superalloys

Dimensional Tolerance of Casting in the Bridgman Furnace Based on 3D Printing Techniques

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