Optimization of Surface Finish in Milling Operation Using Live Tooling via Taguchi Method
The main objective of this research is to optimize the surface roughness of a milling operation on AISI 1018 steel using live tooling on a HAAS ST-20 lathe. In this study, Taguchi analysis is used to optimize the milling process by investigating the effect of different machining parameters on surface roughness. The L9 orthogonal array is designed with four controllable factors with three different levels each and an uncontrollable factor, resulting in 18 experimental runs. The optimal parameters determined from Taguchi analysis were feed rate – 76.2 mm/min, spindle speed 1150 rpm, depth of cut – 0.762 mm and 2-flute TiN coated high-speed steel as tool material. The process capability Cp and process capability index Cpk values were improved from 0.62 and -0.44 to 1.39 and 1.24 respectively. The average surface roughness values from the confirmation runs were 1.30 µ, decreasing the defect rate from 87.72% to 0.01%. The purpose of this study is to efficiently utilize the Taguchi design to optimize the surface roughness in a milling operation using live tooling.
 Nitin Agarwal, “Surface Roughness Modeling with Machining Parameters (Speed, Feed & Depth of Cut) in CNC Milling”, in Proc. MIT International Journal of Mechanical engineering, vol. 2, no. 1, pp. 55-61, Jan.2012.
 Suresh Dhiman, Rakesh Sehgal, S K Sharma, Vishal S Sharma, “Machine Behavior of AISI 1018 steel during Turning,” Journal of scientific & Industrial Research, vol. 67, pp. 355-360, May. 2008.
 Z. Julie Zhang, C. Joseph Chen, E. Daniel Kirby, “Surface Roughness Optimization in an End- Milling Operation Using the Taguchi Design Method.” Journal of Materials Processing Technology, no. 184, pp. 233–239, 27 Sept. 2006
 C. R. Rao, (1946a) Proc. National Institute of Science, 12, pp. 123 – 135.
 C. R. Rao, (1946b) Bull. Calcutta Math. Soc, 38, pp. 67-78.
 R. Jithin babu, A Ramesh Babu, “Correlation among the cutting parameters, surface roughness and cutting forces in turning process by experimental studies”, in Proc. 5th International & 26th all India Manufacturing technology, Design and Research Conference (AIMTDR 2014) Journal of Mechanical Engineering, December (12th -14th) 2014.