A surface roughness prediction model using response surface methodology in micro-milling Inconel 718. (2017)

• Record Type: Journal Article
• Authors: Lu, Xiaohong; Wang, Furui; Wang, Xinxin; Lu, Yanjun; Si, Likun
• Is Part Of: International journal of machining and machinability of materials. Volume 19:Number 3(2017)
• Page Start: 230
• Page End: 245
• Publication Date: 2017
• Subjects: surface roughness -- response surface methodology -- RSM -- micro-milling -- analysis of variance -- ANOVA -- Inconel 718; Machining -- Periodicals; Metals -- Machinability -- Periodicals; 671.35
• Languages: English
• ISSNs: 1748-5711

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.