الفهرس 
2.1. Modeling and Optimization of Surface Roughnessيوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
End milling operation is one of the most fundamental and commonly encountered metal removal operations occurring in a manufacturing environment. In the present investigation, a Response Surface Methodology (RSM) is proposed for modeling and optimizing of some process parameters, namely; cutting force, surface roughness and material removal rate during end milling of 5083- Alumimum alloy on a CNC machine tool. The considered machining parameters were spindle speed, feed rate, axial- and radial- depth of cut. Cutting forces were measured using a three- dimensional dynamometer and surface roughness was measured using surface roughness tester whereas material removal rate was calculated. Mathematical models were constructed using RSM and the confirmatory test has been conducted to ensure the validity of the models. Analysis of variance (ANOVA) was performed for a level of confidence of 95% to determine the significant machining parameters. The optimum machining parameters have been achieved by composite desirability approach for both roughing- and finishing- cut. Finally, a design modification of the end mill geometry has been considered through this study by integration between Solidworks and Ansys 16.0 software. The results showed that the feed rate is the most significant factor affecting the process parameters. Composite desirability optimization procedure is efficient and sufficient to obtain the optimum machining parameters during end milling operation. Also, design modification procedure showed a significant improvement in the tool life by about 27 percent.