Modeling and Analysis of CNC Milling Process Parameters on Al3030 based Composite

International Conference on Recent Advances in Materials & Manufacturing Technologies

Gupta, Anand^1,2 ; Soni, P.K.^1,2 ; Krishna, C.M.^1,2

Department of Mechanical Engineering, India^1

Maulana Azad National Institute of Technology, Bhopal (M.P)

462003, India^2

关键词: CNC milling;    CompositeAl3030;    Computer numerical control;    Flatness;    Linear regression models;    Material removal rate;    Portable coordinate measuring machines;    Surface irregularities;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/346/1/012073/pdf
DOI  :  10.1088/1757-899X/346/1/012073

来源: IOP

【 摘 要 】

The machining of Al3030 based composites on Computer Numerical Control (CNC) high speed milling machine have assumed importance because of their wide application in aerospace industries, marine industries and automotive industries etc. Industries mainly focus on surface irregularities; material removal rate (MRR) and tool wear rate (TWR) which usually depends on input process parameters namely cutting speed, feed in mm/min, depth of cut and step over ratio. Many researchers have carried out researches in this area but very few have taken step over ratio or radial depth of cut also as one of the input variables. In this research work, the study of characteristics of Al3030 is carried out at high speed CNC milling machine over the speed range of 3000 to 5000 r.p.m. Step over ratio, depth of cut and feed rate are other input variables taken into consideration in this research work. A total nine experiments are conducted according to Taguchi L9orthogonal array. The machining is carried out on high speed CNC milling machine using flat end mill of diameter 10mm. Flatness, MRR and TWR are taken as output parameters. Flatness has been measured using portable Coordinate Measuring Machine (CMM). Linear regression models have been developed using Minitab 18 software and result are validated by conducting selected additional set of experiments. Selection of input process parameters in order to get best machining outputs is the key contributions of this research work.