Skip to main content
SpringerLink
Log in

Parametric optimization of CNC turning process for hybrid metal matrix composite

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Machining of hybrid metal matrix composite is difficult as the particulates are abrasive in nature and they behave like a cutting edge during machining resulting in quick tool wear and induces vibration. An attempt was made in this experimental study to evaluate the machining characteristics of hybrid metal matrix composite, and a mathematical model was developed to predict the responses, namely surface finish, intensity of vibration and work-tool interface temperature for known cutting condition while machining was performed in computer numerical control lathe. Design of experiments approach was used to conduct the trials; response surface methodology was employed to formulate a mathematical model. The experimental study inferred that the vibration in V x, V y, and V z were 41.59, 45.17, and 26.45 m/s2, respectively, and surface finish R a, R q, and R z were 1.76, 3.01, and 11.94 μm, respectively, with work-tool interface temperature ‘T’ of 51.74 °C for optimal machining parameters, say, cutting speed at 175 m/min, depth of cut at 0.25 mm and feed rate at 0.1 mm/rev during machining. Experimental results were in close conformity with response surface method overlay plot for responses.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Vijayarangan S, Rajamanickam N, Sivananth V (2013) Evaluation of metal matrix composite to replace spheroidal graphite iron for a critical component, steering knuckle. Mater Des 43:532–541

    Article  Google Scholar 

  2. Sivananth V, Vijayarangan S, Rajamanickam N (2014) Evaluation of fatigue and impact behavior of titanium carbide reinforced metal matrix composites. Mater Sci Eng A 597:304–313

    Article  Google Scholar 

  3. Suresh P, Marimuthu K, Ranganathan S, Rajmohan T (2014) Optimization of machining parameters in turning of Al − SiC − Gr hybrid metal matrix composites using grey-fuzzy algorithm. Trans Nonferrous Metals Soc China 24:2805–2814

    Article  Google Scholar 

  4. Guo RQ, Rohatgi PK (1998) Chemical reactions between aluminum and fly ash during synthesis and reheating of Al–Fly ash composite. Metall Mater Trans B 29:519–525

    Article  Google Scholar 

  5. Garg HK, Verma K, Manna A, Kumar R (2012) Hybrid metal matrix composites and further improvement in their machinability—a review. IJLRST 1:36–44

    Google Scholar 

  6. Krishankant, Taneja J, Bector M (2012) Application of Taguchi Method for optimizing turning process by the effects of machining parameters. IJEAT 1:263–274

    Google Scholar 

  7. Akhyar G, Che Haron CH, Ghani JA (2008) Application of Taguchi Method in the optimization of turning parameters for surface roughness. IJSET 1:60–66

    Article  Google Scholar 

  8. Suresh RK, Krishnaiah G (2013) Parametric optimization on single objective dry turning using Taguchi Method. IJIET 2:263–269

    Google Scholar 

  9. Yadav UK, Narang D, Attri PS (2012) Experimental investigation and optimization of machining parameters for surface roughness in CNC turning by Taguchi Method. IJERA 2:2060–2065

    Google Scholar 

  10. Choudhuri K, Goyal S, Chakraborti P (2014) Optimization of multi-objective problem by taguchi approach and utility concept when turning aluminium 6061, Proceedings of Fifth IRF International Conference

  11. Ranganath MS, Vipin H (2014) Optimization of process parameters in turning operation using response surface methodology: a review. IJETAE 4:351–360

    Google Scholar 

  12. Singh S, Singh H, Garg H (2014) Study & Optimization of Parameters for Optimum Cutting condition duringTurning Process using Response Surface Methodology, Design and Research Conference AIMTDR: 699-6

  13. Naga Phani Sastry M, Devaki Devi K, Madhava Reddy K (2012) Analysis and optimization of machining process parameters using design of experiments. Ind Eng Lett 2:23–32

    Google Scholar 

  14. Murthy M, Mallikharjuna Babu K, Suresh Kumar R (2014) Optimization of machinability parameters of Al6061 using Taguchi Technique. IJCET SI3:63–66

    Google Scholar 

  15. Poornima S (2012) Optimization of machining parameters in CNC turning of martensitic stainless steel using RSM and GA. IJMER 2:539–542

    Google Scholar 

  16. Hessainia Z, Belbah A, Yallese MA, Mabrouki T, Rigal J-F (2013) On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations. Measurement 46:1671–1681

    Article  Google Scholar 

  17. Srinivasan A, Arunachalam RM, Ramesh S, Senthilkumaar JS (2012) Machining performance study on metal matrix composites—a response surface methodology approach. Am J Appl Sci 9:478–483

    Article  Google Scholar 

  18. Saravanan I, Elaya Perumal A, Vettivel SC, Selvakumar N, Baradeswaran A (2015) Optimizing wear behavior of TiN coated SS 316L against Ti alloy using Response Surface Methodology. Mater Des 67:469–482

  19. Kanthavel K, Arunkumar K, Vivek S (2014) Investigation of chill performance in steel casting process using response surface methodology. GCMM Procedia Eng 97:329–337

    Article  Google Scholar 

  20. Manohar M, Jomy J, Selvaraj T, Sivakumar D (2013) Application of Box Behnken design to optimize the parameters for turning Inconel 718 using coated carbide tools. IJSER 4:620–641

    Google Scholar 

  21. Ahilan C, Somasundaram K, Sivakumaran N, Edwin Raja Dhas J (2013) Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools. Appl Soft Comput 13:1543–1551

    Article  Google Scholar 

  22. Venkata Ramaiah P, Rajesh N, Dharma Reddy K (2013) Determination of optimum influential parameters in turning of Al6061 using fuzzy logic. IJIRSET 2:5555–5560

    Google Scholar 

  23. Sahoo P (2011) Optimization of turning parameters for surface roughness using RSM and GA. APEM 6:197–208

    Google Scholar 

  24. Makadia AJ, Nanavati JI (2013) Optimisation of machining parameters for turning operations based on response surface methodology. Measurement 46:1521–1529

    Article  Google Scholar 

  25. Sahoo AK, Pradhan S (2013) Modeling and optimization of Al/SiCp MMC machining using Taguchi approach. Measurement 46:3064–3072

    Article  Google Scholar 

  26. Abdallah A, Rajamony B, Embark A (2014) Optimization of cutting parameters for surface roughness in CNC turning machining with aluminum alloy 6061 material. IOSRJEN 4:01–10

    Article  Google Scholar 

  27. Hufenbach W, Gude M, czulak A, Przybyszewski B, Malczyk P (2013) Investigation of mechanical properties of aluminium based metal matrix composites at elevated temperatures, METAL 2013 Conference Proceedings

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Government College of Technology, Coimbatore, India

    M. Nataraj & K. Balasubramanian

Authors
  1. M. Nataraj
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. Balasubramanian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Nataraj.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nataraj, M., Balasubramanian, K. Parametric optimization of CNC turning process for hybrid metal matrix composite. Int J Adv Manuf Technol 93, 215–224 (2017). https://doi.org/10.1007/s00170-016-8780-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-016-8780-4

Keywords

Search

Navigation