Face Mill Regression Analysis
Experimental Investigation of Face Milling Operation on Inconel 718 Using Response Surface Methodology
Received: / Accepted: / Published:
Abstract: Face milling operation is used to remove the materials in the form of chips on the work piece surface in order to improve the surface quality. It is one of the important machining processes for achieving high flatness and low surface roughness of prismatic parts. So, this work investigates the parameters influence on Material Removal Rate (MRR) and Surface Roughness (SR) in newer material Inconel 718. Inconel 718 has wide applications in aerospace industry, particularly in the hot sections of gas turbines, due to their high - temperature strength and high corrosion resistance. However, the milling parameters such as spindle speed, feed rate and depth of cut decide the productivity and the quality of part in face milling. Hence, this work aims to formulate the relationship between input and response variables for improving the face milling performances. For identifying the effects of input parameter and interaction effect of process parameter on MRR and SR, the Response Surface Methodology (RSM) is used. Regression analysis is conducted for building empirical model. The performance of developed regression models are verified with experimental
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The interaction effects between the independent variables and dependent variables are identified with response surface plots. Similarly, this work uses the RSM technique for the study of parameter role with ANOVA technique and constructs the model with regression analysis. The following sections are discussed about ANOVA results and developed models performance evaluation. The main elements of ANOVA table are source of variance, sum of squares, degrees of freedom, mean square, F ratio, and the probability associated with the F
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