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Multi-Response Optimization of Parameters during Turning of AA7075/ SiC Composite for Minimum Surface Roughness and Maximum Tool Life

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Abstract

Turning of 7075 Al alloy reinforced with SiC particulates was done on CNC machine by using tungsten carbide tools. Experimental were planned as per face centered central composite design (FCCCD). Response surface methodology (RSM) was utilized for modeling impact of parameters viz. cutting speed, feed, depth of cut and nose radius on responses viz. surface roughness and tool life. Single objective optimization for surface roughness and tool life was carried out. To obtain balance between surface roughness and tool life, a system for concurrent optimization of several objectives founded on an overall desirability function was utilized. Multi response optimization provided cutting speed of 90 m/min, feed of 0.15 mm/rev, depth of cut of 0.20 mm and nose radius of 0.68 mm. turning at these conditions will result in lowest surface roughness and maximum tool life. Which signify a satisfactory whole desirability. Components of AA7075/ SiC composite are being used in automobiles, ships, aero planes due to their high specific strength and wear resistance. Machining of AA7075/10 wt.% SiC (10-20 μm) composites is still a challenge due to poor surface roughness and high tool wear. Novelty of this work is that values of parameters to simultaneously achieve minimum surface roughness and maximum tool life was obtained by multi response optimization of process parameters. Very little research is available on this issue in literature.

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References

  1. Palanikumar K, Karthikeyan R (2007) Optimal machining conditions for turning of particulate metal matrix composites using Taguchi and response surface methodologies. Machining Science and Technology 10:417–433

    Article  Google Scholar 

  2. Nalbant M, Gökkaya H, Sur G (2007) Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials and Design 28:1379–1385

    Article  CAS  Google Scholar 

  3. Das P, Mukherjee S, Ganguly S, Bhattacharyay BK, Datta S (2009) Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function. Computational Materials Science 45(1):104–110

    Article  CAS  Google Scholar 

  4. Kremer A, Devillez A, Dominiak S, Dudzinski D, El Mansori M (2008) Machinability of Ai/Sic Particulate Metal-Matrix Composites under Dry Conditions with CVD Diamond-Coated Carbide Tools. Machining Science and Technology 12:214–233

    Article  CAS  Google Scholar 

  5. Sadat AB (2009) On the Quality of Machined Surface Region When Turning Al/Sic Metal Matrix Composites. Machining Science and Technology 13:338–355

    Article  CAS  Google Scholar 

  6. Asilturk I, Akkus H (2011) Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement 44:1697–1704

    Google Scholar 

  7. Arun Premnath A, Alwarsamy T, Rajmohan T (2012) Experimental Investigation and Optimization of Process Parameters in Milling of Hybrid Metal Matrix Composites. Materials and Manufacturing Processes 27:1035–1044

    Article  Google Scholar 

  8. Sahoo AK, Pradhan S, Rout AK (2013) Development and machinability assessment in turning Al/SiCp-metal matrix composite with multilayer coated carbide insert using Taguchi and statistical techniques. Archives of civil and mechanical engineering 13:27–35

    Article  Google Scholar 

  9. Johanssona D, Hägglund S, Bushlya V, Ståhl J-E (2017) Assessment of Commonly Used Tool Life Models in Metal Cutting. Procedia Manufacturing 11:602–609

    Article  Google Scholar 

  10. Sahithi VVD, Malayadri T, Srilatha N (2019) Optimization Of Turning Parameters On Surface Roughness Based On Taguchi Technique. Materials Today: Proceedings 18(Part 7):3657–3666

    CAS  Google Scholar 

  11. Grum J, Slab JM (2004) The use of factorial design and response surface methodology for fast determination of optimal heat treatment conditions of different Ni-Co-Mo surface layers. Journal of material processing technology 155–156:2026–2032

    Article  Google Scholar 

  12. Oktem H, Erzurmlu T, Kurtaran H (2005) Application of response surface methodology in the optimization of cutting conditions for surface roughness. Journal of material processing technology 170:11–16

    Article  Google Scholar 

  13. Montgomery DC (2001) Design and Analysis of experiment5th edn. Wiley, New York

    Google Scholar 

  14. Jinshan L, Cuiqing YM, Yan L, Wei Z, Ping X (2007) Medium optimization by combination of response surface methodology and desirability function: An application in glutamine production. International Journal of Advanced Manufacturing Technology 74:563–571

    Google Scholar 

  15. Dhupal D, Doloi R, Bhattacharyya B (2008) Parametric analysis and optimization of Nd: YAG laser micro-grooving of aluminium titanate (Al2TiO5) ceramics. International Journal of Advanced Manufacturing Technology 36(9–10):883–893

    Article  Google Scholar 

  16. Bhushan RK, Kumar S, Das S (2010) Effect of Machining Parameters on Surface Roughness and Tool Wear for 7075 Al Alloy SiC Composite. The International Journal of Advanced Manufacturing Technology 50(5–8):459–469

    Article  Google Scholar 

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Correspondence to Rajesh Kumar Bhushan.

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Bhushan, R.K. Multi-Response Optimization of Parameters during Turning of AA7075/ SiC Composite for Minimum Surface Roughness and Maximum Tool Life. Silicon 13, 2845–2856 (2021). https://doi.org/10.1007/s12633-020-00640-w

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  • DOI: https://doi.org/10.1007/s12633-020-00640-w

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