International Journal of Mechanical Engineering and Applications

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A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces

Received: 25 March 2018    Accepted: 18 April 2018    Published: 15 May 2018
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Abstract

Oxygen, nitrogen and hydrogen from air greatly affect the surface quality of milled superalloys—a difficult-to-cut material. Here, we described a novel infrared-thermal conductivity method to measure oxygen, nitrogen and hydrogen on superalloy surfaces during milling. A milling experimental program was projected via the uniform design method—this contained a qualitative factor. The quadratic regression model of the superalloy was established using the best regression subset method. Here, the cutting speed, feed per tooth, axial cutting depth, radial cutting depth, and tool nose radius were the independent variables. The results were feasible with an acceptable regression effect.

DOI 10.11648/j.ijmea.20180602.13
Published in International Journal of Mechanical Engineering and Applications (Volume 6, Issue 2, April 2018)
Page(s) 29-34
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Superalloy, Oxygen, Nitrogen, Hydrogen, Detection Method

References
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[5] Mignanelli, P. M., N. G. Jones, K. M. Perkins, M. C. Hardy and H. J. Stone (2015). Microstructural Evolution of a Delta Containing Nickel-Base Superalloy during Heat Treatment and Isothermal Forging. Materials Science & Engineering A 621, 265-271.
[6] Qiu, C. L., M. M. Attallah, X. H. Wu and P. Andrews (2013). Influence of Hot Isostatic Pressing Temperature on Microstructure and Tensile Properties of a Nickel-Based Superalloy Powder. Materials Science & Engineering A 564(3), 176-185.
[7] Yang, H., R. Bao, J. Zhang, L. Peng and B. Fei (2011). Crack Growth Behaviour of a Nickel-Based Powder Metallurgy Superalloy under Elevated Temperature. International Journal of Fatigue 33(4), 632-641.
[8] Thakur, A. and S. Gangopadhyay (2016). State-of-the-art in Surface Integrity in Machining of Nickel-Based Super Alloys. International Journal of Machine Tools & Manufacture 100, 25-54.
[9] Jang, C., D. Kim, D. Kim, I. Sah, W. S. Ryu and Y. S. Yoo (2011). Oxidation Behaviors of Wrought Nickel-Based Superalloys in Various High Temperature Environments. Transactions of Nonferrous Metals Society of China 21(7), 1524-1531.
[10] Baldan, R., R. Guimarães, C. A. Nunes, S. B. Gabriel and G. C. Coelho (2015). Oxidation Behavior of the Niobium-Modified Mar-M247 Superalloy at 1000°C in Air. Oxidation of Metals 83(1-2), 151-166.
[11] Zhang, J. W., L. T. Lu, P. B. Wu, J. J. Ma, G. G. Wang and W. H. Zhang (2013). Inclusion Size Evaluation and Fatigue Strength Analysis of 35CrMo Alloy Railway Axle Steel. Materials Science & Engineering A 562(2), 211-217.
[12] Sun, C., Z. Lei, J. Xie and Y. Hong (2013). Effects of Inclusion Size and Stress Ratio on Fatigue Strength for High-Strength Steels with Fish-Eye Mode Failure. International Journal of Fatigue 48(48), 19-27.
[13] Holt, R. T. and W. Wallace (1976). Impurities and Trace Elements in Nickel-Base Superalloys. Metallurgical Reviews 21(1), 1-24.
[14] Durber, G. L. R. and M. Boneham (2013). Trace Element Control in Vacuum Induction and Consumable a Electrode Melted Ni Superalloys. Metal Science Journal 11(1), 428-437.
[15] Jiang, F., J. Li, L. Yan, J. Sun and S. Zhang (2010). Optimizing End-Milling Parameters for Surface Roughness under Different Cooling/Lubrication Conditions. International Journal of Advanced Manufacturing Technology 51(9-12), 841-851.
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Author Information
  • State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China; Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China

  • State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China

  • Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China

  • Sichuan Province Engineering Laboratory for Superalloy Cutting Technology, Sichuan Engineering Technical College, Deyang, China

  • State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China

Cite This Article
  • APA Style

    Tao Sun, Jin Liang, Dengwan Li, Ling Zhong, Chunyuan Gong. (2018). A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces. International Journal of Mechanical Engineering and Applications, 6(2), 29-34. https://doi.org/10.11648/j.ijmea.20180602.13

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    ACS Style

    Tao Sun; Jin Liang; Dengwan Li; Ling Zhong; Chunyuan Gong. A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces. Int. J. Mech. Eng. Appl. 2018, 6(2), 29-34. doi: 10.11648/j.ijmea.20180602.13

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    AMA Style

    Tao Sun, Jin Liang, Dengwan Li, Ling Zhong, Chunyuan Gong. A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces. Int J Mech Eng Appl. 2018;6(2):29-34. doi: 10.11648/j.ijmea.20180602.13

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  • @article{10.11648/j.ijmea.20180602.13,
      author = {Tao Sun and Jin Liang and Dengwan Li and Ling Zhong and Chunyuan Gong},
      title = {A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {6},
      number = {2},
      pages = {29-34},
      doi = {10.11648/j.ijmea.20180602.13},
      url = {https://doi.org/10.11648/j.ijmea.20180602.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijmea.20180602.13},
      abstract = {Oxygen, nitrogen and hydrogen from air greatly affect the surface quality of milled superalloys—a difficult-to-cut material. Here, we described a novel infrared-thermal conductivity method to measure oxygen, nitrogen and hydrogen on superalloy surfaces during milling. A milling experimental program was projected via the uniform design method—this contained a qualitative factor. The quadratic regression model of the superalloy was established using the best regression subset method. Here, the cutting speed, feed per tooth, axial cutting depth, radial cutting depth, and tool nose radius were the independent variables. The results were feasible with an acceptable regression effect.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - A New Detection Method for Oxygen, Nitrogen and Hydrogen on Superalloy Milling Surfaces
    AU  - Tao Sun
    AU  - Jin Liang
    AU  - Dengwan Li
    AU  - Ling Zhong
    AU  - Chunyuan Gong
    Y1  - 2018/05/15
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ijmea.20180602.13
    DO  - 10.11648/j.ijmea.20180602.13
    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
    SP  - 29
    EP  - 34
    PB  - Science Publishing Group
    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.20180602.13
    AB  - Oxygen, nitrogen and hydrogen from air greatly affect the surface quality of milled superalloys—a difficult-to-cut material. Here, we described a novel infrared-thermal conductivity method to measure oxygen, nitrogen and hydrogen on superalloy surfaces during milling. A milling experimental program was projected via the uniform design method—this contained a qualitative factor. The quadratic regression model of the superalloy was established using the best regression subset method. Here, the cutting speed, feed per tooth, axial cutting depth, radial cutting depth, and tool nose radius were the independent variables. The results were feasible with an acceptable regression effect.
    VL  - 6
    IS  - 2
    ER  - 

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