Skip to main content
SpringerLink
Log in

Optimization of Grinding Technology Parameters to Surface Roughness and Material Extracting Productivity of Turbine Shaft Parts

  • Conference paper
  • First Online:
Advances in Engineering Research and Application (ICERA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 366))

Included in the following conference series:

Abstract

The turbine shaft is an important part of the turbocharger structure. This part re-quires not only high mechanical properties, precision but also high surface smoothness to ensure the working conditions with very high speed and tempera-ture. This paper presents the research results of optimization of grinding technol-ogy parameters to surface roughness and material extracting productivity of tur-bine shaft parts made of 42CrMo steel of the turbocharger structure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Manoj, M., Jinu, G.R., Muthuramalingam, T.: Multi response optimization of AWJM process parameters on machining TiB2 particles reinforced Al7075 composite using Taguchi-DEAR methodology. SILICON 10(5), 2287–2293 (2018). https://doi.org/10.1007/s12633-018-9763-x

    Article  Google Scholar 

  2. Temuçin, T., Tozan, H., Vayvay, Ö., Harničárová, M., Valíček, J.: A fuzzy based decision model for nontraditional machining process selection. Int. J. Adv. Manuf. Technol. 70(9–12), 2275–2282 (2013). https://doi.org/10.1007/s00170-013-5474-z

    Article  Google Scholar 

  3. Chen, S.-J., Hwang, C.-L.: Fuzzy Multiple Attribute Decision Making. Springer, Berlin, Heidelberg (1992). https://doi.org/10.1007/978-3-642-46768-4

    Book  MATH  Google Scholar 

  4. Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making Methods and Applications. Springer, Berlin, Heidelberg (1981). https://doi.org/10.1007/978-3-642-48318-9

    Book  MATH  Google Scholar 

  5. Opricovic, S., Tzeng, G.H.: Compromise solution by MCDM method: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156, 445–455 (2004)

    Article  Google Scholar 

  6. Cables Perez, E., Lamata, M.T., Verdegay, J.L.: RIM-Reference ideal method in multicriteria decision making. Inf. Sci. 337–338(10), 1–10 (2016). https://doi.org/10.1016/j.ins.2015.12.011

    Article  Google Scholar 

  7. Maniya, K., Bhatt, M.G.: A selection of material using a novel type decision-making method Preference selection index method. Mater. Des. 31, 1785–1789 (2010). https://doi.org/10.1016/j.matdes.2009.11.020

    Article  Google Scholar 

  8. Ky, L.H., Nhan, N.N.: Research on the effects of high Ram mode on mechanical properties of 42CrMo steel for the Turbine shaft. Vietnam J. Mech. ISSN0866-7056 (2021)

    Google Scholar 

  9. Ky, L.H., Tam, D.T.: Design analysis of turbine blade in the turbocharger. Vietnam J. Mech. ISSN0866-7056 (2020)

    Google Scholar 

  10. Tam, D.T., Hung, T.V., Ky, L.H.: Evaluation on the accuracy of direct machining of turbine blade parts from inventor professional software on CNC milling machines. Vietnam J. Mech. ISSN0866-7056 (2020)

    Google Scholar 

  11. Ky, L.H., Thong. N.C.: Research on Turbo wing processing in turbocharger structure on CNC HAAS VF2 milling machine. Vietnam J. Mech. ISSN0866–7056 (2020)

    Google Scholar 

  12. Thong, N.C., Hung, T.V., Ky, L.H.: Research on processing turbine blades in HX40W turbocharger structure on CNC milling machine. Vietnam J. Mech. ISSN0866-7056 (2020)

    Google Scholar 

  13. Chaturvedi, P.K., Narang, H.K., Sahu, A.K.: Optimization of MRR and surface roughness of AlMg3 (AA5754) Alloy in CNC lathe machine by using Taguchi method. Appl. Mech. Mater. 877, 110–117 (2018). https://doi.org/10.4028/www.scientific.net/AMM.877.110

    Article  Google Scholar 

  14. Lukaszek-Sołek, A., Chyła, P., Bednarek, S.: Forging of gas turbine shaft – numerical modelling of technological process, Metal 2015 Brno Czech Republic EU (2015)

    Google Scholar 

  15. Xu, X., Yu, Z.: Failure analysis of a locomotive turbocharger main-shaft. Eng. Fail. Anal. 16, 495–502 (2009)

    Article  Google Scholar 

  16. Daniello, R.: Design and Manufacturing of a Miniature Turbojet Engine. Worcester Polytechnic Institute (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Vinh Long University of Technology Education, Vinh Long, Vietnam

    Nguyen Ngọc Nhan, Nguyen Chi Thong, Nguyen Hoang Thien & Le Hong Ky

Authors
  1. Nguyen Ngọc Nhan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nguyen Chi Thong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nguyen Hoang Thien
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Le Hong Ky
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Le Hong Ky .

Editor information

Editors and Affiliations

  1. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  2. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  3. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  4. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

  5. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nhan, N.N., Thong, N.C., Thien, N.H., Ky, L.H. (2022). Optimization of Grinding Technology Parameters to Surface Roughness and Material Extracting Productivity of Turbine Shaft Parts. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2021. Lecture Notes in Networks and Systems, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-030-92574-1_74

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-92574-1_74

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92573-4

  • Online ISBN: 978-3-030-92574-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation