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From

Optimization of Machining Parameter for Surface Roughness in Turning GFRP Composite Using RSM-GA Approach

Md. Rezaul Karim, Sayem Ahmed, Samia Salahuddin, Md. Rezaul Karim

American Journal of Materials Science and Engineering. 2018, 6(1), 18-25 doi:10.12691/ajmse-6-1-4
  • Figure 1. Experimental Setup
  • Figure 2. Main effects plot for surface roughness
  • Figure 3. 3D surface plot of surface roughness with respect to cutting speed and depth of cut, with respect to feed rate and depth of cut and with respect to feed rate and cutting speed
  • Figure 4. Linear Regressions plot for Experimental values of surface roughness (R2 = 0.99994) and RSM Predicted values of surface roughness (R2 = 0.99186)
  • Figure 5. Bar chart of individual desirability
  • Figure 6. Optimal value selection of (a) surface roughness and (b) cutting speed using genetic algorithm