A framework for accuracy enhancement in milling thin-walled narrow-vane turbine impeller of NiAl-based superalloy

Abstract

Impeller with narrow-vane is a typical thin-walled structural part of the turbine engine. The high-accuracy requirement for the impeller is difficult to achieve in the machining process due to its low structural stiffness and narrow machining domain. This paper proposes a framework for enhancing the milling accuracy of the thin-walled narrow-vane turbine impeller, which is made of NiAl-based superalloy. The proposed framework consists of a machinability study of the impeller material, a machining deformation analysis, and an error compensation. By studying the milling force and tool wear behavior experimentally, the machinability study yielded optimized process parameters for machining NiAl-based superalloy. A cantilever beam–based tool deformation model and a finite element analysis method model were developed respectively to analyze and predict the deformation of the milling tool in machining the impeller. A flexible and iterative compensation method was studied for decreasing the machining error when milling the impeller. The effectiveness of the proposed framework has been validated experimentally. The results show that the milling accuracy of the turbine impeller has been enhanced significantly.

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References

  1. 1.

    Jiang XL, Wang B (2010) Analysis of the future development of aero engine technology. Aeronaut Sci Technol 2:10–12

    Google Scholar 

  2. 2.

    Lin CI, Niuman SJ, Kulkarni AK, King DS, Singh J, Yamamoto N (2020) Sintering and joining of Ni-based superalloys via FAST for turbine disc applications. Metall Mater Trans A 51:1353–1366

    Article  Google Scholar 

  3. 3.

    Bai B, Li H, Zhang W, Cui Y (2020) Application of extremum response surface method-based improved substructure component modal synthesis in mistuned turbine bladed disk. J Sound Vib 472:115210

    Article  Google Scholar 

  4. 4.

    Fan, H. Z., Xi, G., Wang, W., & Cao, Y. L (2016) An efficient five-axis machining method of centrifugal impeller based on regional milling. Int J Adv Manuf Technol 87(1–4): 789–799.

  5. 5.

    Chen KH (2011) Investigation of tool orientation for milling blade of impeller in five-axis machining. Int J Adv Manuf Technol 52(1–4):235–244

    Article  Google Scholar 

  6. 6.

    Ning J, Zhu L (2019) Parametric design and surface topography analysis of turbine blade processing by turn-milling based on CAM. Int J Adv Manuf Technol 104(9-12):3977–3990

    Article  Google Scholar 

  7. 7.

    Song LK, Bai GC, Fei CW (2019) Dynamic surrogate modeling approach for probabilistic creep-fatigue life evaluation of turbine disks. Aerosp Sci Technol 95:105439

    Article  Google Scholar 

  8. 8.

    Bochenek K, Basista M (2015) Advances in processing of NiAl intermetallic alloys and composites for high temperature aerospace applications. Prog Aerosp Sci 79:136–146

    Article  Google Scholar 

  9. 9.

    Zeumert B, Sauthoff G (1997) Intermetallic NiAl-Ta alloys with strengthening Laves phase for high-temperature applications. I Basic properties. Intermetallics 5(7):563–577

    Article  Google Scholar 

  10. 10.

    Svensson H, Angenete J, Stiller K, Langer V (2003) Microstructural studies of NiAl-based model alloys and commercial coatings after isothermal oxidation. Mater High Temp 20(3):421–427

    Article  Google Scholar 

  11. 11.

    Pawade RS, Joshi SS, Brahmankar PK (2007) An investigation of cutting forces and surface damage in high-speed turning of Inconel 718. J Mater Process Technol 192(10):139–146

    Article  Google Scholar 

  12. 12.

    Nalbant M, Altın A, Gökkaya H (2007) The effect of cutting speed and cutting tool geometry on machinability properties of nickel-base Inconel 718 super alloys. Mater Des 28(4):1334–1338

    Article  Google Scholar 

  13. 13.

    Jindal PC, Santhanam AT, Schleinkofer U (1999) Performance of PVD TiN, TiCN, and TiAlN coated cemented carbide tools in turning. Int J Refract Met Hard Mater 17(1–3):163–170, 163.

  14. 14.

    Kadirgama K, Abou-El-Hossein KA, Noor MM (2011) Tool life and wear mechanism when machining Hastelloy C-22HS. Wear 270(3):258–268

    Article  Google Scholar 

  15. 15.

    Huai KW, Guo JT, Gao Q, Li HT, Yang R (2007) Microstructure and mechanical behavior of NiAl-based alloy prepared by powder metallurgical route. Intermetallics 15(5–6):749–752

    Article  Google Scholar 

  16. 16.

    Huang N, Yin C, Liang L, Hu J, Wu S (2018) Error compensation for machining of large thin-walled part with sculptured surface based on on-machine measurement. Int J Adv Manuf Technol 96(9-12):4345–4352

    Article  Google Scholar 

  17. 17.

    Calleja A, Bo P, Gonzalez H, Bartoň M, López de Lacalle LN (2018) Highly accurate 5-axis flank CNC machining with conical tools. Int J Adv Manuf Technol 97:1605–1615

    Article  Google Scholar 

  18. 18.

    Bo P, Bartoň M, Pottmann H (2017) Automatic fitting of conical envelopes to free-form surfaces for flank CNC machining. Comput Aided Des 91:84–94

    Article  Google Scholar 

  19. 19.

    Wang L, Si H (2018) Machining deformation prediction of thin-walled workpieces in five-axis flank milling. Int J Adv Manuf Technol 97(9-12):4179–4193

    Article  Google Scholar 

  20. 20.

    Sun YW, Jiang SL (2018) Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts. Int J Mach Tool Manu 135:38–52

    Article  Google Scholar 

  21. 21.

    Wang XZ, Li ZL, Bi QZ, Zhu LM, Ding H (2019) An accelerated convergence approach for real-time deformation compensation in large thin-walled parts machining. Int J Mach Tool Manu 142:98–106

    Article  Google Scholar 

  22. 22.

    Li ZL, Zhu LM (2019) Compensation of deformation errors in five-axis flank milling of thin-walled parts via tool path optimization. Precis Eng 55:77–87

    Article  Google Scholar 

  23. 23.

    Habibi M, Arezoo B, Nojedeh MV (2011) Tool deflection and geometrical error compensation by tool path modification. Int J Mach Tool Manuf 51(6):439–449

    Article  Google Scholar 

  24. 24.

    Rao VS, Rao PVM (2006) Tool deflection compensation in peripheral milling of curved geometries. Int J Mach Tool Manuf 46(15):2036–2043

    Article  Google Scholar 

  25. 25.

    Ma W, He G, Zhu L (2016) Tool deflection error compensation in five-axis ball-end milling of sculptured surface. Int J Adv Manuf Technol 84(5-8):1421–1430

    Google Scholar 

  26. 26.

    Zeroudi N (2015) Prediction of tool deflection and tool path compensation in ball-end milling. J Intell Manuf 26(3):425–445

    Article  Google Scholar 

  27. 27.

    Ratchev S, Liu S, Huang W (2004) A flexible force model for end milling of low-rigidity parts. J Mater Process Technol 153–154(1):134–138

    Article  Google Scholar 

  28. 28.

    Law KMY, Geddam A (2003) Error compensation in the end milling of pockets: a methodology. J Mater Process Technol 139(1):21–27

    Article  Google Scholar 

  29. 29.

    Kim GM, Kim BH, Chu CN (2003) Estimation of cutter deflection and form error in ball-end milling processes. Int J Mach Tool Manuf 43(9):917–924

    Article  Google Scholar 

  30. 30.

    Liu XW, Cheng K, Webb D (2002) Prediction of cutting force distribution and its influence on dimensional accuracy in peripheral milling. Int J Mach Tool Manuf 42(7):791–800

    Article  Google Scholar 

Download references

Funding

This work is partially supported by the National Natural Science Foundation of China (No. 51805258), Natural Science Foundation of Jiangsu Province (No. BK20180441), Fundamental Research Funds for Central Universities (NT2019016), the National Science Foundation for Post-doctoral Scientists of China (No. 2019 M661824), and Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology.

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Correspondence to Zhengcai Zhao.

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Zhao, Z., Wang, Y., Qian, N. et al. A framework for accuracy enhancement in milling thin-walled narrow-vane turbine impeller of NiAl-based superalloy. Int J Adv Manuf Technol 108, 3925–3938 (2020). https://doi.org/10.1007/s00170-020-05554-w

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Keywords

  • Turbine impeller
  • Accuracy enhancement
  • Tool deformation analysis
  • Error compensation