Prediction of Machining Characteristics of Hybrid Composites Using Response Surface Methodology Approach

  • Authors

    • Ramanan. G
    • Rajesh Prabha.N
    • Diju Samuel.G
    • Jai Aultrin. K. S
    • M Ramachandran
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.17078
  • Hybrid composites, Material removal rate, ANOVA.

  • Abstract

    This manuscript presents the influencing parameters of CNC turning conditions to get high removal rate and minimal response of surface roughness in turning of AA7075-TiC-MoS2 composite by response surface method. These composites are particularly suited for applications that require higher strength, dimensional stability and enhanced structural rigidity. 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 RSM technique. Turning process is studied by response surface methodology design of experiment. The optimal parameters were predicted by RSM technique. The most influencing process parameter predicted from RSM techniques in cutting speed and depth of cut.

     

     


     

  • References

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  • How to Cite

    G, R., Prabha.N, R., Samuel.G, D., Aultrin. K. S, J., & Ramachandran, M. (2018). Prediction of Machining Characteristics of Hybrid Composites Using Response Surface Methodology Approach. International Journal of Engineering & Technology, 7(3.1), 162-165. https://doi.org/10.14419/ijet.v7i3.1.17078

    Received date: 2018-08-08

    Accepted date: 2018-08-08

    Published date: 2018-08-04