Physical simulation of investment casting for GTD-222 Ni-based superalloy processed by controlled cooling rates

  • Jiangping Yu
  • Donghong WangEmail author
  • Dayong Li
  • Ding Tang
  • Guoliang Zhu
  • Anping Dong
  • Da Shu
  • Yinghong Peng


The influence of the solidification process parameters on the microstructure is still identified by the trial and error method. It is common practice to perform multiple casting tests to defecate the optimum process parameters for high-quality casting parts. In order to establish the solidification-microstructure relationship, a high-efficiency experimental method is proposed to accelerate the speed of finding the optimum casting process parameters by the controlled cooling rate of 0.25 °C/s, 1 °C/s, 5 °C/s, and 10 °C/s, respectively. It demonstrated that the physics simulation can successfully predict the microstructure of the GTD-222 Ni-based superalloy casting and the relationship between the secondary dendrite arm spacing (SDAS) and cooling rate is λ2 = 76.4747(GV)−0.2926.The response behavior of secondary dendrite arm spacing is sensitive to the change of solidification parameters. Moreover, the microhardness tends to decrease along the axial direction as well. The relationships between the temperature gradient, cooling rate, and microstructure are discussed as well. The results also show that the prior model of the numerical simulation and the physical simulation of the high-efficiency experiment design can reproduce the conventional casting conditions and the high-efficiency experiment can be applied to other casting studies of all kinds for the enhancement of time- and cost-saving.


GTD-222 Ni-based superalloy Microstructure cooling rate Temperature gradient High-efficiency experiment 



This work was financially supported by The Major State Basic Research Development Program of China (2016YFB0701405) and National Natural Science Foundation of China (51705314, 51771118, 51821001, U1760110). The authors gratefully acknowledge the financial supports from the National Industrial Basis Improvement Project under Project (TC160A310-12-1), The 13th Five-year Major Project of Aero Engine and Gas Turbine of China (2017-VII-008) and Startup Fund for Youngman Research at SJTU (18X100040025).


  1. 1.
    Chang HC, Lin A (2005) Automatic inspection of turbine blades using a 3-axis CMM together with a 2-axis dividing head. Int J Adv Manuf Technol 26(7-8):789–796CrossRefGoogle Scholar
  2. 2.
    Jahangiri MR, Abedini M (2014) Effect of long time service exposure on microstructure and mechanical properties of gas turbine vanes made of IN939 alloy. Mater Des 64:588–600CrossRefGoogle Scholar
  3. 3.
    Zheng L, Zhang G, Lee TL, Gorley MJ, Wang Y, Xiao C, Li Z (2014) The effects of Ta on the stress rupture properties and microstructural stability of a novel Ni-base superalloy for land-based high temperature applications. Mater Des 61:61–69CrossRefGoogle Scholar
  4. 4.
    Seaver DW, Beltran AM (1993) Nickel-Base Alloy GTD-222, a new gas turbine nozzle Alloy. J Eng Gas Turbines Power 115(1):155–159CrossRefGoogle Scholar
  5. 5.
    Wang R, Wang W, Zhu G, Pan W, Zhou W, Wang D, Li F, Huang H, Jia Y, Du D (2018) Microstructure and mechanical properties of the TiN particles reinforced IN718C composite. J Alloys Compd 762:237–245CrossRefGoogle Scholar
  6. 6.
    Kartavykh AV, Tcherdyntsev VV, Gorshenkov MV, Kaloshkin SD (2014) Microstructure engineering of TiAl-based refractory intermetallics within power-down directional solidification process. J Alloys Compd 586:S180–S183CrossRefGoogle Scholar
  7. 7.
    Aveson JW, Tennant PA, Foss BJ, Shollock BA, Stone HJ, Souza ND (2013) On the origin of sliver defects in single crystal investment castings. Acta Mater 61(14):5162–5171CrossRefGoogle Scholar
  8. 8.
    Li WP, Yong G, Wen LG, Zhi LH, Hu Z (2010) Prediction of shrinkage porosity (hole) in tial based alloy blade and its processing optimization based on the ProCAST. Spec Cast Nonferrous Alloys 30(06):504–507 + 592Google Scholar
  9. 9.
    Yang L, Chai LH, Liang Y, Zhang Y, Bao CL, Liu SB, Lin J (2015) Numerical simulation and experimental verification of gravity and centrifugal investment casting low pressure turbine blades for high Nb-TiAl alloy. Intermetallics 66:149–155CrossRefGoogle Scholar
  10. 10.
    Eriksson M, Wikman B, Bergman, G (2003) Estimation of material parameters at elevated temperatures by inverse modeling of a Gleeble experiment. IUTAM symposium on field analyses for determination of material parameters-experimental and numerical aspects. Springer Netherlands. CrossRefGoogle Scholar
  11. 11.
    Lewandowski MS, Overfelt RA (1999) High temperature deformation behavior of solid and semi-solid alloy 718. Acta Mater 47(18):4695–4710CrossRefGoogle Scholar
  12. 12.
    Rahimian M, Milenkovic S, Sabirov I (2013) Microstructure and hardness evolution in MAR-M247 Ni-based superalloy processed by controlled cooling and double heat treatment. J Alloys Compd 550:339–344CrossRefGoogle Scholar
  13. 13.
    Fisher DJ (1986) Fundamentals of solidification. Trans Tech. Pub.1989Google Scholar
  14. 14.
    Zhai W, Geng DL, Wang WL, Wei B (2012) A calorimetric study of thermodynamic properties for binary Cu-Ge alloys. J Alloys Compd 535:70–77CrossRefGoogle Scholar
  15. 15.
    Rahimian M, Milenkovic S, Maestro L, Sabirov C (2015) Physical Simulation of Investment Casting of Complex Shape Parts[J]. Metall Mater Trans A 46(5):2227–2237CrossRefGoogle Scholar
  16. 16.
    Cao S, Gu D, Shi Q (2017) Relation of microstructure, microhardness and underlying thermodynamics in molten pools of laser melting deposition processed TiC/Inconel 625 composites. J Alloys Compd 692:758–769CrossRefGoogle Scholar
  17. 17.
    Chen W (2018) High-efficiency computing for accelerated materials discovery. In: Shin D, Saal J (eds) Computational Materials System Design. Springer, Cham, pp 169–191CrossRefGoogle Scholar
  18. 18.
    Makihata M, Pisano AP (2019) High-efficiency microstructure printing technology using inflatable thin membrane with microchannel. Int J Adv Manuf Technol 103:1709–1719. CrossRefGoogle Scholar
  19. 19.
    Kirklin S, Saal JE, Hegde V, Wolverton CM (2016) High-efficiency computational search for strengthening precipitates in alloys. Acta Mater 102:125–135CrossRefGoogle Scholar
  20. 20.
    Safran G (2018) “One-sample concept” micro-combinatory for high efficiency TEM of binary films. Ultramicroscopy 187:50–55CrossRefGoogle Scholar
  21. 21.
    Li J, Wang B, Qin Y, Fang S, Huang X, Chen P (2019) Investigating the effects of process parameters on the cross wedge rolling of TC6 alloy based on temperature and strain rate sensitivities. Int J Adv Manuf Technol 103:2563–2577. CrossRefGoogle Scholar
  22. 22.
    Bor HY, Wei CN, Jeng RR, Ko PY (2008) Elucidating the effects of solution and double aging treatment on the mechanical properties and toughness of MAR-M247 superalloy at high temperature. Mater Chem Phys 109(2):334–341CrossRefGoogle Scholar
  23. 23.
    Chen J, Lee JH, Jo CY, Choe SJ, Lee YT (1998) MC carbide formation in directionally solidified MAR-M247 LC superalloy. Mater Sci Eng A 247(1):113–125CrossRefGoogle Scholar
  24. 24.
    Whitesell HS, Li L, Overfelt RA (2000) Influence of solidification variables on the dendrite arm spacings of Ni-based superalloys. Metall Mater Trans B Process Metall Mater Process Sci 31(3):546–551CrossRefGoogle Scholar
  25. 25.
    Kostic S, Golubovic A, Valcic A (2009) Primary and secondary dendrite spacing of Ni-based superalloy single crystals. J Serb Chem Soc 74(1):61–69CrossRefGoogle Scholar
  26. 26.
    Liu C, Shen J, Zhang J, Lou L (2010) Effect of withdrawal rates on microstructure and creep strength of a single crystal superalloy processed by LMC. J Mater Sci Technol 26(4):306–310CrossRefGoogle Scholar
  27. 27.
    Franke MM, Hilbinger RM, Konrad C, Glatzel U, Singer RF (2011) Numerical determination of secondary dendrite arm spacing for IN738LC investment castings. Metall Mater Trans A 42(7):1847–1853CrossRefGoogle Scholar
  28. 28.
    Zhang Y, Huang B, Li J (2013) Microstructural evolution with a wide range of solidification cooling; rates in a Ni-based superalloy. Metall. Mater. Trans. A 44(4):1641–1644CrossRefGoogle Scholar
  29. 29.
    Souza ND, Ardakani MG, Wagner A, Shollock BA, Lean MMC (2002) Morphological aspects of competitive grain growth during directional solidification of a nickel-base superalloy, CMSX4. J Mater Sci 7:481–487CrossRefGoogle Scholar
  30. 30.
    Das D, Pratihar DK, Roy GG (2018) Cooling rate predictions and its correlation with grain characteristics during electron beam welding of stainless steel. Int J Adv Manuf Technol 97:2241CrossRefGoogle Scholar
  31. 31.
    Bemani M, Pouranvari M (2019) Resistance spot welding of Nimonic 263 nickel-based superalloy: microstructure and mechanical properties. Sci Technol Weld Joining. 1-9Google Scholar
  32. 32.
    Melo MLN, Penhalber CL, Pereira NA, Pelliciari CL, Santos CA (2007) Numerical and experimental analysis of microstructure formation during stainless steels solidification. J Mater Sci 42(7):2267–2275CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Jiangping Yu
    • 1
    • 2
  • Donghong Wang
    • 1
    • 3
    • 4
    Email author
  • Dayong Li
    • 2
    • 4
  • Ding Tang
    • 2
  • Guoliang Zhu
    • 1
    • 3
  • Anping Dong
    • 1
    • 3
  • Da Shu
    • 1
    • 3
    • 4
  • Yinghong Peng
    • 2
  1. 1.Shanghai Key Lab of Advanced High-Temperature Materials and Precision Forming, School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.State Key Laboratory of Mechanical System and Vibration, School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghaiChina
  3. 3.State Key Laboratory of Metal Matrix Composites, School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  4. 4.Materials Genome Initiative CenterShanghai Jiao Tong UniversityShanghaiChina

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