Experimental investigation and ANFIS-Based modelling during machining of EN31 alloy steel
Document Type
Article
Publication Title
Materials
Abstract
This research presents the parametric effect of machining control variables while turning EN31 alloy steel with a Chemical Vapor deposited (CVD) Ti(C, N) + Al2O3 + TiN coated carbide tool insert. Three machining parameters with four levels considered in this research are feed, revolutions per minute (RPM), and depth of cut (ap). The influences of those three factors on material removal rate (MRR), surface roughness (Ra), and cutting force (Fc) were of specific interest in this research. The results showed that turning control variables has a substantial influence on the process responses. Furthermore, the paper demonstrates an adaptive neuro fuzzy inference system (ANFIS) model to predict the process response at various parametric combinations. It was observed that the ANFIS model used for prediction was accurate in predicting the process response at varying parametric combinations. The proposed model presents correlation coefficients of 0.99, 0.98, and 0.964 for MRR, Ra, and Fc, respectively.
DOI
10.3390/ma13143137
Publication Date
7-1-2020
Recommended Citation
Shivakoti, Ishwer; Rodrigues, Lewlyn L.R.; Cep, Robert; and Pradhan, Premendra Mani, "Experimental investigation and ANFIS-Based modelling during machining of EN31 alloy steel" (2020). Open Access archive. 1400.
https://impressions.manipal.edu/open-access-archive/1400