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Indexed by:Journal Papers

Date of Publication:2017-01-01

Journal:International Journal of Machining and Machinability of Materials

Included Journals:EI

Volume:19

Issue:3

Page Number:230-245

ISSN No.:17485711

Key Words:surface roughness; response surface methodology; RSM; micro-milling; analysis of variance; ANOVA; Inconel 718.

Abstract:In this paper, a surface roughness prediction model of micro-milling Inconel 718 by applying response surface methodology (RSM) is presented. The experiments based on centre composite rotatable design (CCRD) are designed to conduct the experiments. The cutting parameters considered are depth of cut, spindle speed and feed rate. Statistical methods, analysis of variance (ANOVA), are used to analyse the adequacy of the predictive model. The influence of each micro-milling parameter on surface roughness is analysed; also the magnitude order of parameters is determined. Depth of cut is found to be the critical influence factor. At last, the parameters interaction on surface roughness of micro-milling Inconel 718 is discussed by graphical means through MATLAB. © 2017 Inderscience Enterprises Ltd.