الفهرس 
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Abstract
The dimensions, geometrical tolerance and surface roughness of products are a great importance of all machining process. This paper has been aimed to evaluate the cutting parameters in face milling of aluminum silicon and multi walled carbon nano tubes MWCNTs. The experiments were designed using Taguchi OR L27. The volume fraction of MWCNTs, spindle speed, feed rate and depth of cut were selected as cutting parameters. The material removal rate (MRR), surface roughness (Ra), flatness error and temperature evaluated using S/N ratio and
ANOVA. The results of the study showed that; the most significant factor on
MRR the feed rate with contribution of 49.29% followed by depth of cut with
contribution 47.05%. Depth of cut is the most significant factor that affects the surface roughness with contribution of 41.32% followed by feed rate with contribution of 36.755 % . The MWCNTs nano% is the most significant parameter that effect the flatness error with a percentage of contribution of 61.73%. The spindle speed is found to be the most influent parameter on temperature with contribution of 65.43%. The most significant factor on multi -
response is the MWCNTs Nano % with a percentage of contribution of 36.048%
followed by depth of cut with 27.915%.The optimal levels of machining parameters are determined. The predicted results possess an average accuracy of 93.96% in the case of material removal rate, 87.02% in the case of surface roughness, 94.10% in flatness error and accuracy of temperature of 96.83 % and accuracy of gray relation grade of 91.922%.