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The experiment layout was obtained in accordance with the 2-level full-factorial Central Composite Design with 8 cube points, | axial points, 4 center points, and 2 center points in axial, resulting in a total of 20 runs. a was chosen as | to make design fac center. Table 3.2 below contains the experimental layout used. Analysis of Variance Table E. Lay out of Experiment for RSM

Table 3 The experiment layout was obtained in accordance with the 2-level full-factorial Central Composite Design with 8 cube points, | axial points, 4 center points, and 2 center points in axial, resulting in a total of 20 runs. a was chosen as | to make design fac center. Table 3.2 below contains the experimental layout used. Analysis of Variance Table E. Lay out of Experiment for RSM

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Many researchers investigated and formulated the effect of cutting variables for the optimization of the surface roughness. Published work of different authors in the referred area is mentioned here.
Many researchers investigated and formulated the effect of cutting variables for the optimization of the surface roughness. Published work of different authors in the referred area is mentioned here.
Then Regression Equation in Un-coded Units Ra=1.2+0.000046Vc-13.3F-0.614D+70.3F*F+0.262 D*D -0.00231Vc*F+0.000226Vc*D+1.03F*D Solution given by RSM At Vc=5000, F= 0.0964646, D=0.76967 Ra will be minimum its value in 0.362615 micron and the composite durability will be 64 .7%
Then Regression Equation in Un-coded Units Ra=1.2+0.000046Vc-13.3F-0.614D+70.3F*F+0.262 D*D -0.00231Vc*F+0.000226Vc*D+1.03F*D Solution given by RSM At Vc=5000, F= 0.0964646, D=0.76967 Ra will be minimum its value in 0.362615 micron and the composite durability will be 64 .7%
Related topics:
Depth of CutResponse surface design
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