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.
Highlights
Metal cutting plays a crucial role in the field of manufacturing
It was found that turning factors such as feed, depth of cut, and speed influence material removal rate (MRR) and surface roughness (RA) [1]
This is associated with an increase in revolutions per minute (RPM) that leads to a rise in material removal per unit time
Summary
It was found that turning factors such as feed, depth of cut, and speed influence material removal rate (MRR) and surface roughness (RA) [1]. Most of these research findings are established with three levels of parameters and are for specific levels of these parameters. Generalizations of the behaviors of the factors mentioned above and the specified process performance are difficult because the findings of the earlier researchers were for specific tool–material combinations, such as the range of process variables and given turning conditions. The influence on depth of cut was rather low while performing a turning operation on AA2219-TiB2 /ZrB2 in a setup of a metal matrix composite using uncoated tungsten carbide inserts. The surface quality was obtained at low feed and depth of cut, while the speed was Materials 2020, 13, 3137; doi:10.3390/ma13143137 www.mdpi.com/journal/materials
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