Optimization of Machining Characteristics of Hybrid Composites Using Grey Relational Technique

  • Authors

    • Ramanan. G
    • Neela Rajan.R.R
    • Jai Aultrin.K.S
    • Pradeep. P
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.17077
  • Aluminium composites, Grey relational analysis, surface roughness

  • Abstract

    Metal matrix composite imparts several advantages over alloys. The MMCs exhibit improved properties compared with monolithic alloy. They are particularly suited for applications that require higher strength, dimensional stability and enhanced structural rigidity. Aluminium composite materials are engineered materials made from at least two or more constituent materials having different physical or chemical properties. In this work Seventeen turning experiments were conducted using response surface methodology. The machining parameters cutting speed, feed rate, and depth of cut are varied with respect to different machining conditions for each run. The optimal parameters were predicted by grey relational analysis technique. The optimum process parameter predicted from RSM techniques is cutting speed 250m/min, feed rate 0.06mm and depth of cut 1.5mm are found.

     

  • References

    1. [1] Lin ZC, Ho CY, Analysis and application of grey relation and ANOVA in chemical–mechanical polishing process parameters. Int J Adv Manuf Technlogy, 21, 2003, pp.10–14.

      [2] W.H. Yang, Y.S. Tang, Design optimization of cutting parameters for turning operations based on Taguchi method, Journal of Materials Processing Technology, 84, 1998, pp.122-129.

      [3] Yan BH, Wang CC, Chow HM, Lin YC, Feasibility study of rotary electrical discharge machining with ball burnishing for Al2O3/6061Al composite. Int J Mach Tools Manufacture, 40, 2000, pp.1403–1421.

      [4] Ersan Aslan, Necip Camuscu Burak Bingoren, Design of optimization of cutting parameters when turning hardened AISI 4140 steel (63 HRC) with Al2O3+TiCN mixed ceramic tool, Materials and Design, 2006.

      [5] Ramanan.G, Neela Rajan.R, Diju samuel.G, Edwin Raja Dhas.J, Multiple Response Characteristics Optimization of WEDM Parameters for AA7075 composites by Response Surface Grey Relative analysis, International Journal of Mechanical Engineering and Technology. Vol.8, pp.667-676, 2017.

      [6] M.A. El-Baradie, I.A. Choudhury, Surface roughness prediction in the turning of high strength steel by factorial design of experiments, Journal of Materials Processing technology, 67, 1997, pp.55-67.

      [7] N. Nalbant, H. Gokkaya, G. Sur, Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Materials and Design, 2006.

      [8] Partha Protim Das Priyank, Kumar Ghadai, M. Ramachandran, KanakKalita, Optimization of Turning Process Parameters by Taguchi-Based Six Sigma, Mechanics and Mechanical Engineering, 21(3):649-656, 2017.

      [9] Ramanan.G, Edwin Raja Dhas.J, Ramachandran.M, Optimization of material removal rate and surface roughness for wire electric discharge machining of AA7075 composites using grey relational analysis, International Journal of Vehicle Structures and Systems, 9, 2017, pp. 309-312.

      [10] Rajesh Prabha.N, Edwin Raja Dhas.J and Ramanan.G., Finite element structural analysis of connecting rod of AA7075-TiC composite using ANSYS, International Journal of Mechanical Engineering and Technology, 8, 2017, pp. 1102-1110.

      [11] M. Ramachandran, Back Propagation Neural Network for Prediction of Some Shell Moulding Parameters, Periodica Polytechnica Mechanical Engineering, 60(4), pp. 203-208, 2016.

      [12] Ramanan.G, Edwin Raja Dhas, J. Multi Objective Optimization of Wire EDM Machining Parameters for AA7075-PAC Composite Using Grey - Fuzzy Technique, Materials Today Proceedings, Vol.5, No.1, 2018, pp.8280-8289.

      [13] K. S. Jai Aultrin, M. Dev Anand, Optimization of Machining Parameters in AWJM Process for Lead Tin Alloy Using RSM and Regression Analysis, International Review of Mechanical Engineering, 9 , 2015.

      S.Baskaran, V. Anandakrishnan, Investigations on dry sliding wear behavior of casted AA7075-TiC metal matrix composites by taguchi technique, Materials and Design, 60, 2014, pp.184-192.

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  • How to Cite

    G, R., Rajan.R.R, N., Aultrin.K.S, J., & P, P. (2018). Optimization of Machining Characteristics of Hybrid Composites Using Grey Relational Technique. International Journal of Engineering & Technology, 7(3.1), 158-161. https://doi.org/10.14419/ijet.v7i3.1.17077

    Received date: 2018-08-08

    Accepted date: 2018-08-08

    Published date: 2018-08-04