Optimization of surface roughness and material removal rate in milling of AISI 1005 carbon steel using Taguchi approach

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Taguchi technique was employed to find out the optimal cutting parameters in face milling operation of AISI 1005 steel using TiN coated tool. Three cutting parameters i.e. spindle speed (N), depth of cut (dc) and feed rate (f) were optimized with consideration of surface roughness (Ra) and material removal rate (MRR). Experiments have been performed based on L9 orthogonal array. Effect of cutting parameter were analyzed using ANOVA and the results shows that the depth of cut and feed rate influences the responses the most. Furthermore, confirmation experimental test has been conducted based on optimal parameter to justify the results. Surface roughness and MRR obtained at optimal process parameters were 2.97 mm and 0.96923 g/min respectively.

Cite

CITATION STYLE

APA

Kumar, S., Saravanan, I., & Patnaik, L. (2020). Optimization of surface roughness and material removal rate in milling of AISI 1005 carbon steel using Taguchi approach. In Materials Today: Proceedings (Vol. 22, pp. 654–658). Elsevier Ltd. https://doi.org/10.1016/j.matpr.2019.09.039

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free