Log in

Analysing the impact of cutting parameters of CNC machining on EN8 steel with high strength carbide tool tip insert

  • Conference Proceeding
  • Published:
Interactions Aims and scope Submit manuscript

Abstract

Turning is an often observed technique in the field of metal cutting. During CNC machining, a work material is rotated along its axis while cutting tools at the centre of its axis are used to remove excess material and create the desired component. The ultimate level of quality and accuracy of the end result depends on several factors. In this context, three crucial parameters stand out as key contributors: cutting speed, feed rate, and depth of cut. The specific input parameter chosen for the working material is EN 8, and the cutting tool used is a carbide insert. Observation of tool wear can be made by examining the effects of velocity, feed rate, and cutting depth under different conditions. EN8 steel is a type of steel that has a significant amount of carbon and has a stiffness of around 600 MPa. The displayed graphs obtained from the conducted CNC machining process research provide clear insights into the patterns that demonstrate how the progression of tool flank wear ultimately results in failure. Through the implementation of several experiments, we successfully examined the influence of input variables on both the Material Removal Rate and Tool Wear.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

No datasets were generated or analysed during the current study.

References

  1. Praveen, N., Mallik, U.S., Shivasiddaramaiah, A.G., Hosalli, R., Prasad, C.D., Bavan, S.: Machinability study of Cu-Al-Mn shape memory alloys using Taguchi method. J. Institution Eng. (India): Ser. D, 1–13. (2024)

  2. Gasmi, B., Yallese, M.A., Boucherit, S., Chihaoui, S., Mabrouki, T.: Experimental investigation on the performance of ceramics and CBN cutting materials during dry machining of cast iron: Modeling and optimization study using RSM, ANN, and GA. Proc. Institution Mech. Eng. Part. C: J. Mech. Eng. Sci. 238(5), 1397–1422 (2024)

    Article  Google Scholar 

  3. Khaisar, M.: Godfrey Devaputra,Prediction of tool wear during turning of EN9 work material against coated carbide insert using vibration signal processing. Int. J. Res. Eng. Technol. 3(3), 564–571 (2024)

    Google Scholar 

  4. Aggarwal, A.: and H. Singh,Optimization of Machining Techniques – A Retrospective And Literature Review. Sadhana Academy Proceedings in Engineering Sciences, vol. 30, no. 6, pp. 699–711, (2005)

  5. Jacques Masounave, Y.A., Youssef, Y., Beauchamp, Thomas, M.: An experimental design for surface roughness and built-up edge formation in lathe dry turning. Int. J. Qual. Sci. 2(3), 167–180 (1997). https://doi.org/10.1108/13598539710170803

    Article  Google Scholar 

  6. Pedersen, W., Ramulu, M.: Facing SiCp/Mg metal matrix composites with carbide tools. J. Mater. Process. Technololgy. 172(3), 417–423 (2006)

    Article  Google Scholar 

  7. Diwahar Reddy, D., Bhanu Praksh, G., Bhanodaya, Krishnaiah, G.: Sensitivity analysis of surface roughness of AISI 1040 carbon steel in dry turning operation with PVD tool using Taguchi method. Manuf. Technol. Today. 1, 5–11, (2012)

  8. Nalbant, M., Gokkaya, H., Sur, G.: Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Mater. Des. 28(4), 1379–1385 (2007). https://doi.org/10.1016/j.matdes.2006.01.008

    Article  Google Scholar 

  9. Yang, J.L., Chen, J.C.: A systematic approach for identifying optimum surface roughness in end – milling operations. J. Industrial Technol. 17(2), 1–8 (2001)

    Google Scholar 

  10. Yang, W.H., Tarng, Y.S.: Design optimization of cutting parameters for turning operations based on Taguchi Method. J. Mater. Process. Technol. 84, 122–129 (1998). https://doi.org/10.1016/S0924-0136(98)00079-X

    Article  Google Scholar 

  11. Sahin, Y., Motorcu, R.: Surface roughness prediction models in machining of carbon steel by PVD coated cutting tools. Am. J. Appl. Sci. 1(1), 12–17 (2004)

    Article  Google Scholar 

  12. Singh, H., Kumar, P.: Optimizing cutting force for turned parts by Taguchi’s parameter design approach. Indian J. Eng. Mater. Sci. 12, 97–103 (2005)

    Google Scholar 

  13. Gaitonde, V.N., Achyutha, B.T., Siddeswarappa, B.: Burr size minimization in drilling using Taguchi Technique. Indian J. Eng. Mater. Sci. 12, 91–96 (2005)

    Google Scholar 

  14. Aksoy, M., Inan, A.: Study of tool wear and surface roughness in machining of homogenized SiC-p reinforced aluminium metal matrix composite. J. Mater. Process. Technol. 164–165, 862–867 (2005)

    Google Scholar 

  15. Taguchi, G.: Introduction to Quality Engineering. Mc-Graw Hill, New York (1986)

    Google Scholar 

  16. Ross, P.J.: Taguchi Techniques for Quality Engineers. McGraw-Hill Company, Singapore (1988)

    Google Scholar 

  17. Phadke, M.S.: Quality Engineering Using Robust Design. Prentice Hall Int., New Jersey (1989)

    Google Scholar 

  18. NoorulHaq, A., Marimuthu, P., Jeyapaul, R.: Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method. Int. J. Adv. Manuf. Technol. 37, 250–255 (2008). https://doi.org/10.1007/s00170-007-0981-4

    Article  Google Scholar 

  19. Nor, N.H.M., Muhamad, N., Ibrahim, M.H.I., Ruzia, M., Jamaludin, K.R.: Optimization of injection molding parameter of Ti-6Al-4V powder mix with palm stearin and polyehylene for the highest green strength by using Taguchi method. Int. J. Mech. Mater. Eng. 6(1), 126–132 (2011)

    Google Scholar 

  20. Zaharudin, A.M., Talib, R.J., Berhac, M.N., Budin. And, S., Aziurah, M.S.: Taguchi method for optimizing the manufacturing parameters of friction materials. Int. J. Mech. Mater. Eng. 7(1), 83–88 (2012)

    Google Scholar 

  21. Krishnan, B.R., Ramesh, M.: Optimization of machining process parameters in CNC turning process of IS2062 E250 steel using coated carbide cutting tool. Mater. Today: Proc. 21, 346–350 (2020)

    Google Scholar 

  22. James Dhilip, J.D., Jeevan, J., Arulkirubakaran, D., Ramesh, M.: Investigation and optimization of parameters for hard turning of OHNS steel. Mater. Manuf. Processes. 35(10), 1113–1119 (2020)

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization K.Arunprasath. Methodology K.Arunprasath. Software Y.Carlin Calaph. Validation S.Kavitha. Formal analysis C.Muthusamy. Investigation S.Kavitha. Resources K.Arunprasath. Data Curation PSP.Sankar Ganesh. Writing - Original Draft K.Arunprasath. Writing - Review & Editing C.Muthusamy. Visualization PSP.Sankar Ganesh. Supervision Y.Carlin Calaph.

Corresponding author

Correspondence to K. Arunprasath.

Ethics declarations

Consent for publication

I hereby declare that the disclosed information is correct and that no other situation of real, potential or apparent conflict of interest is known to me. I undertake to inform you of any change in these circumstances, including if an issue arises during the course of the research work itself.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Calaph, Y.C., Ganesh, P.S., Shanawaz, A.M. et al. Analysing the impact of cutting parameters of CNC machining on EN8 steel with high strength carbide tool tip insert. Interactions 245, 74 (2024). https://doi.org/10.1007/s10751-024-01913-1

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10751-024-01913-1

Keywords

Navigation