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Study of surface quality in machining nickel-based alloy Inconel 718

  • YiHang Fan
  • ZhaoPeng Hao
  • MinLi Zheng
  • FengLian Sun
  • ShuCai Yang
ORIGINAL ARTICLE

Abstract

In machining operation, the surface quality is one of the most important requirements for many workpieces. Because of the special physical and chemical properties, good-machined surface quality becomes a key issue to solve in machining Inconel 718. In this paper, PVD-TiAlN-coated carbide tools were used to turn Inconel 718. Based on observing the tool wear and machined surface morphology, the main factors affecting surface quality at different cutting speeds were analyzed. The optimal cutting temperature was calculated, according to the above analysis and Archard adhesion wear model, and further cutting parameters optimization was conducted, on the basis of the proposed optimal cutting temperature. The optimized cutting parameters based on optimal cutting temperature can be considered to improve surface quality.

Keywords

Inconel 718 Surface quality Chip plastic side flow Wear equilibrium Optimal cutting temperature Cutting parameters optimization 

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References

  1. 1.
    Ezugwu EO, Bonney J, Yamane Y (2003) An overview of the machinability of aeroengine alloys. J Mater Process Technol 135:233–253. doi: 10.1016/S0924-0136(02)01042-7 CrossRefGoogle Scholar
  2. 2.
    Choudhury IA, El-Baradie MA (1999) Machinability assessment of Ineonel 718 by factorial design of experiment coupled with response suface methodology. J Mater Process Technol 95:30–39. doi: 10.1016/S0924-0136(99)00085-0 CrossRefGoogle Scholar
  3. 3.
    Pawade RS, Joshi Suhas S, Brahmankar PK (2008) Effect of machining parameters and cutting edge geometry on surface integrity of high-speed turned Inconel 718. Int J Mach Tools Manuf 48:15–28. doi: 10.1016/j.ijmachtools.2007.08.004 CrossRefGoogle Scholar
  4. 4.
    Arunachalam RM, Mannan MA, Spowage AC (2004) Surface integrity when machining age hardened Inconel 718 with coated carbide cutting tools. Int J Mach Tools Manuf 44:1481–1491. doi: 10.1016/j.ijmachtools.2004.05.005 CrossRefGoogle Scholar
  5. 5.
    Arunachalam RM, Mannan MA, Spowage AC (2004) Residual stress and surface roughness when facing age hardened Inconel 718 with CBN and ceramic cutting tools. Int J Mach Tools Manuf 44:879–887. doi: 10.1016/j.ijmachtools.2004.02.016 CrossRefGoogle Scholar
  6. 6.
    Alauddin M, EIBaradie MA, Hashmi MSJ (1996) Optimization of surface finish in end milling Inconel 718. J Mater Process Technol 56:54–65. doi: 10.1016/0924-0136(95)01820-4 CrossRefGoogle Scholar
  7. 7.
    Ezugwu EO, Tang SH (1995) Surface abuse when machining cast iron (G-17) and nickel-base superalloy (Inconel 718) with ceramic tools. J Mater Process Technol 55:63–69. doi: 10.1016/0924-0136(95)01786-0 CrossRefGoogle Scholar
  8. 8.
    Thakur DG, Ramamoorthy B, Vijayaraghavan L (2009) Study on the machinability characteristics of superalloy Inconel 718 during high speed turning. Mater and Des 30:1718–1725. doi: 10.1016/j.matdes.2008.07.011 CrossRefGoogle Scholar
  9. 9.
    Hsu CY, Huang CK, Wu CY (2007) Milling of MAR-M247 nickel-based superalloy with high temperature and ultrasonic aiding. Int J Adv Manuf Technol 34:857–866. doi: 10.1007/s00170-006-0657-5 CrossRefGoogle Scholar
  10. 10.
    Gao CQ, Liu JJ (1999) Adhesion wear and fatigue wear. China Machine Press, Beijing (In Chinese)Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • YiHang Fan
    • 1
    • 2
  • ZhaoPeng Hao
    • 3
  • MinLi Zheng
    • 1
  • FengLian Sun
    • 2
  • ShuCai Yang
    • 1
  1. 1.National and Local United Engineering Laboratory of High-efficiency Cutting and Tool TechnologyHarbin University of Science and TechnologyHarbinChina
  2. 2.School of Materials Science and EngineeringHarbin University of Science and TechnologyHarbinChina
  3. 3.School of Mechanics EngineeringHarbin Institute of TechnologyHarbinChina

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