Metal matrix composites reinforce with ( macro or micro) size particles have wide application in industry due to excellent mechanical properties. This study has been aimed to evaluate the effect of process variables (machining parameters) in end milling operation of Al-Si/MWCNTs/ Al2O3 hybrid nanocomposites. The experiments were designed using Taguchi L27 by selecting number of flutes in end mill, volume fractions of MWCNTs, spindle speed and feed rate as a process inputs parameters. Surface roughness, flatness error and material removal rate in cutting operation as a process output were evaluated using single noise (SN) ratio and analysis of variance (ANOVA) by using gray relation grad. The result showed that number of flutes is the most significant factor on multi objective response with contribution 52.199%, followed by nanofiller (0.0) % volume fraction with 29.40 %.
.M.Shaabn, A., .A. Khalil, T., & .A. Elmogy, B. (2019). Multi Response Optimization of End Milling Parameters Using Gray Relation Analysis. Engineering Research Journal (Shoubra), 41(1), 31-39. doi: 10.21608/erjsh.2019.243170
MLA
A. .M.Shaabn; T. .A. Khalil; B. .A. Elmogy. "Multi Response Optimization of End Milling Parameters Using Gray Relation Analysis", Engineering Research Journal (Shoubra), 41, 1, 2019, 31-39. doi: 10.21608/erjsh.2019.243170
HARVARD
.M.Shaabn, A., .A. Khalil, T., .A. Elmogy, B. (2019). 'Multi Response Optimization of End Milling Parameters Using Gray Relation Analysis', Engineering Research Journal (Shoubra), 41(1), pp. 31-39. doi: 10.21608/erjsh.2019.243170
VANCOUVER
.M.Shaabn, A., .A. Khalil, T., .A. Elmogy, B. Multi Response Optimization of End Milling Parameters Using Gray Relation Analysis. Engineering Research Journal (Shoubra), 2019; 41(1): 31-39. doi: 10.21608/erjsh.2019.243170
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