Skip to main content

A Case Study of Minimizing Cutting Force in Hard Milling JIS SKD61 Steel Under Nanofluid-MQL Condition

  • 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:

  • 868 Accesses

Abstract

In the machining of hard material, the cutting force has a direct impact on the lifetime of the cutting tool, the vibration of the system, and more importantly the quality of the machined surface. On the other hand, the cutting force can be easily observed by using a three-component dynamometer. The goal of this research was to minimize the cutting force during milling JIS SKD61 steel under minimum quantity lubrication (MQL) aided SiO2 nanoparticles. The resultant cutting force was determined by three components: the feed force (Fx), the thrust force (Fy), and the tangential force (Fz). Cutting speed, feed rate, and depth of cut together with the hardness of the work-piece were selected as input parameters. Experiments were carried out based on the G. Taguchi method with L27 orthogonal arrays was used to find the effects of input parameters on the resultant cutting force. Analysis of variance (ANOVA) showed that the depth of cut had the most influence on the cutting force.

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. Do, T.-V., Hsu, Q.-C.: Optimization of minimum quantity lubricant conditions and cutting parameters in hard milling of AISI H13 steel. Appl. Sci. 6, 83 (2016)

    Article  Google Scholar 

  2. Do, T.V., Nguyen, Q.M., Pham, M.T.: Optimization of cutting parameters for improving surface roughness during hard milling of AISI H13 steel. Key Eng. Mater. 35–39 (2020)

    Google Scholar 

  3. Yan, H., Hua, J., Shivpuri, R.: Flow stress of AISI H13 die steel in hard machining. Mater. Des. 28, 272–277 (2007)

    Article  Google Scholar 

  4. Kumar, P., et al.: Influence of different grades of CBN inserts on cutting force and surface roughness of AISI H13 die tool steel during hard turning operation. Materials 12, 177 (2019)

    Article  Google Scholar 

  5. Ding, T., Zhang, S., Wang, Y., Zhu, X.: Empirical models and optimal cutting parameters for cutting forces and surface roughness in hard milling of AISI H13 steel. Int. J. Adv. Manuf. Technol. 51, 45–55 (2010)

    Article  Google Scholar 

  6. Aouici, H., Bouchelaghem, H., Yallese, M.A., Elbah, M., Fnides, B.: Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology. Int. J. Adv. Manuf. Technol. 73(9–12), 1775–1788 (2014). https://doi.org/10.1007/s00170-014-5950-0

    Article  Google Scholar 

  7. Do, T.-V., Le, N.-A.-V.: Optimization of surface roughness and cutting force in MQL hard-milling of AISI H13 steel. In: Fujita, H., Nguyen, D.C., Vu, N.P., Banh, T.L., Puta, H.H. (eds.) ICERA 2018. LNNS, vol. 63, pp. 448–454. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04792-4_58

    Chapter  Google Scholar 

  8. Nguyen, H.-T., Hsu, Q.-C.: Study on cutting forces and material removal rate in hard milling of SKD 61 alloy steel. J. Chin. Soc. Mech. Eng. 38, 41–51 (2017)

    Google Scholar 

  9. Nguyen, N.-T., Kao, Y.-C., Bui, G.T., Nguyen, Q., Nguyen, Q.-M., Do, T.-V.: An experimental investigation of dynamic cutting forces in the stable milling processes. In: Fujita, H., Nguyen, D.C., Vu, N.P., Banh, T.L., Puta, H.H. (eds.) ICERA 2018. LNNS, vol. 63, pp. 158–166. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04792-4_22

    Chapter  Google Scholar 

  10. Çalışkan, H., Kurbanoğlu, C., Panjan, P., Kramar, D.: Investigation of the performance of carbide cutting tools with hard coatings in hard milling based on the response surface methodology. Int. J. Adv. Manuf. Technol. 66, 883–893 (2013)

    Article  Google Scholar 

  11. Do, T.-V.: Effect of cutting parameters on cutting force of hard milling of SKD 61 steel under nanofluid-MQL condition. Int. J. Mech. Eng. Robot. Res. 9, 1104–1109 (2020)

    Article  Google Scholar 

  12. Lee, P.-H., Nam, J.S., Li, C., Lee, S.W.: An experimental study on micro-grinding process with nanofluid minimum quantity lubrication (MQL). Int. J. Precis. Eng. Manuf. 13, 331–338 (2012)

    Article  Google Scholar 

  13. Sayuti, M., Sarhan, A.A., Hamdi, M.: An investigation of optimum SiO 2 nanolubrication parameters in end milling of aerospace Al6061-T6 alloy. Int. J. Adv. Manu. Technol. 67, 833–849 (2013)

    Article  Google Scholar 

  14. Yu, W., Xie, H.: A review on nanofluids: preparation, stability mechanisms, and applications. J. Nanomater. 2012 (2012)

    Google Scholar 

  15. Phan, T.-D., Do, T.-V., Pham, T.-L., Duong, H.-L.: Optimization of cutting parameters and nanoparticle concentration in hard milling for surface roughness of JIS SKD61 steel using linear regression and taguchi method. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds.) ICERA 2020. LNNS, vol. 178, pp. 628–635. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64719-3_69

    Chapter  Google Scholar 

  16. Sayuti, M., Sarhan, A.A., Salem, F.: Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption. J. Clean. Prod. 67, 265–276 (2014)

    Article  Google Scholar 

  17. Do, T.-V.: Empirical model for surface roughness in hard milling of AISI H13 steel under nanofluid-MQL condition based on analysis of cutting parameters. J. Mech. Eng. Res. Dev. 43, 89–94 (2020)

    Google Scholar 

  18. Vu, N.-C., Dang, X.-P., Huang, S.-C.: Multi-objective optimization of hard milling process of AISI H13 in terms of productivity, quality, and cutting energy under nanofluid minimum quantity lubrication condition.Measurement and Control 0020294020919457 (2020)

    Google Scholar 

  19. Altintas, Y., Ber, A.: Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Appl. Mech. Rev. 54, B84–B84 (2001)

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank Thai Nguyen University of Technology. This work was supported by Thai Nguyen University of Technology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to The-Vinh Do .

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

Do, TV. (2022). A Case Study of Minimizing Cutting Force in Hard Milling JIS SKD61 Steel Under Nanofluid-MQL Condition. 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_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-92574-1_2

  • 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