Open Access Open Access  Restricted Access Subscription or Fee Access

Experimental Investigation of Influence of Tool Setting on Surface Roughness

Lokesha K, P. B. Nagaraj, P. Dinesh, Manoj K


The quality of a finished part is an important aspect of any manufacturing process. It directly relates to the productivity of the process, which is a result of combination of many processing factors such as process parameters, work piece material, machine tool condition, cutting conditions, cutting tool condition and cutting tool setting. In context with this, an effort has been made to analyze the influence of process parameters and tool setting on surface roughness of turned part. In the present study, mild steel material was machined with different combinations of process parameter and tool setting by following the Taguchi L9 orthogonal array design of experiments approach. The surface roughness of the turned work piece was measured for every experimental trial. The effect of tool setting was derived with the help of analysis of variance tool. The investigation reveals that the feed rate and tool setting have more influence on surface roughness.


ANOVA; Optimization; Surface roughness; Tool setting; Turning process

Full Text:



Lazarevic D, Madic M, Jankovic P, Lazarevic A. Cutting parameters optimization for surface roughness in turning operation of polyethylene (PE) using Taguchi method. Tribol Ind. 2012; 34(2): 68–73p.

Nagandran V, Janahiraman TV, Ahmad N. Modelling and optimization of carbon steel AISI 1045 surface roughness in CNC turning based on response surface methodology and heuristic optimization algorithms. Am J Neural Netw Appl. 2017; 3(6): 56–62p.

Aruna M, Dhanalaksmi V. Design optimization of cutting parameters when turning inconel 718 with cermet inserts. Int J Mech Mechatron Eng. 2012; 6: 278–281p.

Saurabh, Jassi JS, Mohammad A, Singh DP, Jafri HZ. Machining parameter optimization using Taguchi approach. 2015 1st International Conference on Futuristic Trend in Computational Analysis and Knowledge Management (ABLAZE-2015). Noida, India. 2015, February 25–27.

Gang W, Mianhao Z. Optimization of cutting parameters in machining surface to reduce errors. 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering. Wuhan, China. 2011, August 20–21. 978-1-4244-9600-6/11.

Yusup N, Zain AM, Hashim SZM. Evolutionary techniques in optimizing machining parameters: Review and recent applications. Expert Syst Appl. 2012; 39: 9909–9927p.

Tamizharasan T, Senthil Kumar N. Analysis of surface roughness and material removal rate in turning using Taguchi's technique. IEEE International Conference on Advances in Engineering, Science and Management (lCAESM 2012). 2012, March 30–31, p. 231.

Chelladurai H, Jain VK, Vyas NS. Development of a cutting tool condition monitoring system for high speed turning operation by vibration and strain analysis. Int J Adv Manuf Technol. 2008; 37: 471–485p.

Jana DR, Aslam F. Errors and its remedy of tool setting in turning operation. Int J Comput Technol Appl. 2012; 3(5): 1843–1847p.

Santha Kumari KV, Jana DR, Kumar A. Effects of tool setting on tool cutting angle on turning operation. ARPN J Eng Appl Sci. 2010; 5(5).


  • There are currently no refbacks.