Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method

• Main Authors: Muhammad Munawar, Nadeem A. Mufti, Hassan Iqbal
• Format: Article
• Language: English
• Published: Mehran University of Engineering and Technology 2012-01-01
• Series: Mehran University Research Journal of Engineering and Technology
• Subjects: Taguchi Method; Surface Roughness; Vibration Amplitude; ANOVA; Optimization.
• Online Access: http://publications.muet.edu.pk/research_papers/pdf/pdf202.pdf

Optimization of surface roughness has been one of the primary objectives in most of the machining operations. Poor control on the desired surface roughness generates non conforming parts and results into increase in cost and loss of productivity due to rework or scrap. Surface roughness value is a result of several process variables among which machine tool condition is one of the significant variables. In this study, experimentation was carried out to investigate the effect of machine tool condition on surface roughness. Variable used to represent machine tool\'s condition was vibration amplitude. Input parameters used, besides vibration amplitude, were feed rate and insert nose radius. Cutting speed and depth of cut were kept constant. Based on Taguchi orthogonal array, a series of experimentation was designed and performed on AISI 1040 carbon steel bar at default and induced machine tool\'s vibration amplitudes. ANOVA (Analysis of Variance), revealed that vibration amplitude and feed rate had moderate effect on the surface roughness and insert nose radius had the highest significant effect on the surface roughness. It was also found that a machine tool with low vibration amplitude produced better surface roughness. Insert with larger nose radius produced better surface roughness at low feed rate.