Skip to main content

Multi-objective Optimization for Minimum Surface Roughness and Maximum Wheel Life When External Cylindrical Grinding SKD11 Steel

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

Abstract

Increasing the quality of workpieces and tool life is essential in grinding processes. This paper proposes a grey relation method to optimize surface roughness and wheel life in external cylindrical grinding SKD11 steel. The parameters comprising the rough dressing depth of cut, the number of rough dressings, the finish dressing depth of cut, the number of finish dressing, the dressing number without the depth of cut, and the longitudinal feed rate were evaluated by the grey relation coefficient at different levels. The optimum parameters were found based on the highest value of the grey relation coefficient in each factor at different levels. The results are reliable due to the combination with examining the influences of these parameters on the output responses, i.e., surface roughness and wheel life. Applying the optimal values of these parameters in external cylindrical grinding SKD11 steel the surface roughness, and the wheel life respectively obtain 0.143 μm and 14.5 min.

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

Access this chapter

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. Tu, H.X., Jun, G., Hung, L.X., Tung, L.A., Pi, V.N.: Calculation of optimum exchanged grinding wheel diameter when external grinding tool steel 9CrSi. Int. J. Mech. Eng. Robot 8, 59–64 (2019)

    Google Scholar 

  2. Tran, T.H., et al.: Optimization of replaced grinding wheel diameter for minimum grinding cost in internal grinding. Appl. Sci. 9, 1363 (2019)

    Article  Google Scholar 

  3. Vu, N.P., Luu, A.T., Le, X.H., Nguyen, V.N.: Experimental determination of optimum exchanged diameter in surface grinding process. J. Environ. Sci. Eng. A. 6, 85–89 (2017)

    Google Scholar 

  4. Hung, L.X., Pi, V.N., Tung, L.A., Tu, H.X., Jun, G., Long, B.: Determination of optimal exchanged grinding wheel diameter when internally grinding alloy tool steel 9CrSi. IOP Conf. Ser. Mater. Sci. Eng. 417, 012026 (2018)

    Article  Google Scholar 

  5. Tran, T.H., et al.: A study on calculation of optimum exchanged grinding wheel diameter when surface grinding stainless. Mater. Sci. Forum. 977, 3–11 (2020)

    Article  Google Scholar 

  6. Pi, V.N., Tung, L.A., Hong, T.T., Nga, N.T.T., Hung, L.X., Long, B.T.: An optimization of exchanged grinding wheel diameter when surface grinding alloy tool steel 9CrSi. Mater. Today Proc. 18, 2225–2233 (2019)

    Article  Google Scholar 

  7. Vu, N.P., Luu, A.T., Le, X.H., Banh, T.L.: Cost optimization of surface grinding process. J. Environ. Sci. Eng. A. 5, 606–611 (2016)

    Google Scholar 

  8. Vu, N.P., Le, X.H., Luu, A.T., Banh, T.L.: Cost optimization of internal grinding. J. Mater. Sci. Eng. B. 6, 291–296 (2016)

    Google Scholar 

  9. Vu, N.P., Phan, Q.T., Vu, H.K., Nguyen, N.H.: Cost optimization of external cylindrical grinding. Appl. Mech. Mater. 312, 982–989 (2013)

    Article  Google Scholar 

  10. Tran, T.H., et al.: A study on cost optimization of external cylindrical grinding. Mater. Sci. Forum. 977, 18–26 (2020)

    Article  MathSciNet  Google Scholar 

  11. Tran, T.H., et al.: A study on cost optimization of external cylindrical grinding, Mater. Sci. Forum. 977 MSF, 18–26 (2020)

    Google Scholar 

  12. Saravanakumar, A., Dhanabal, S., Jayanand, E., Logeshwaran, P.: Analysis of process parameters in surface grinding process. Mater. Today Proc. 5, 8131–8137 (2018)

    Article  Google Scholar 

  13. Jeevanantham, S. Robinson Smart, D.S., Sivaram, N.M., Nallusamy, S., Manikanda Prabu, N.: Effect of machining parameters on MRR and surface roughness in internal grinding using EN8, EN31 steel, Int. J. Appl. Eng. Res. 12, 2963–2968 (2017)

    Google Scholar 

  14. Daneshi, A., Jandaghi, N., Tawakoli, T.: Effect of dressing on internal cylindrical grinding. Proc. CIRP 14, 37–41 (2014)

    Article  Google Scholar 

  15. Xuan Tu, H., et al.: Influence of dressing parameters on surface roughness of workpiece for grinding hardened 9XC tool steel. IOP Conf. Ser. Mater. Sci. Eng. 542 (2019)

    Google Scholar 

  16. Hoang, T.D., Tran, T.H., Van Cuong, N., Le, H.K., Thi, N., Nga, T.: An optimization study on surface grinding stainless steel 7, 6621–6625 (2018)

    Google Scholar 

  17. Luu, A.T., Vu, N.P., Do, T.T.H., Le, X.H., Tien Long, B.: A study on optimization of surface roughness in surface grinding 9CrSi tool steel by using Taguchi method. Adv. Eng. Res. Appl. 100–108 (2019)

    Google Scholar 

  18. Ky, L.H., et al.: Optimization of grinding parameters for surface roughness when grinding tablet by CBN wheel on CNC milling machine. Int. J. Mech. Eng. Technol. 960–967 (2019)

    Google Scholar 

Download references

Acknowledgment

This work was supported by Thai Nguyen University of Technology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xuan Tu Hoang .

Editor information

Editors and Affiliations

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

Nguyen, A.T. et al. (2022). Multi-objective Optimization for Minimum Surface Roughness and Maximum Wheel Life When External Cylindrical Grinding SKD11 Steel. 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_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-92574-1_63

  • 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