Experimental investigation and optimization of sustainable performance measures during wire-cut EDM of Ti-6Al-4V alloy employing preference-based TLBO …

D Devarasiddappa… - Materials and …, 2020 - Taylor & Francis
This article evaluates performance of wire-cut electrical discharge machining technique on
Ti6Al4V alloy. Taguchi L16 experimental design is employed considering four cutting …

Statistical analysis of WEDM machining parameters of Ti-6Al-4V alloy using taguchi-based grey relational analysis and artificial neural network

M Altin Karataş, MA Biberci - Experimental Techniques, 2023 - Springer
In this present study, the effect of processing parameters on cutting width (kerf), material
removal rate (MRR), Ra (arithmetic mean deviation), Rq (root mean square deviation) and …

Investigation and prediction of machining characteristics of aerospace material through WEDM process using machine learning

R Chalisgaonkar, S Sirohi, J Kumar… - International Journal on …, 2024 - Springer
In this study, pure titanium is used as the workpiece material and a machine learning
approach is used to forecast the material removal rate (MRR) during wire electrical …

Fuzzy logic modelling of sustainable performance measure (MRR) during WEDM of Ti/6Al/4V alloy

D Devarasiddappa, M Chandrasekaran - Materials Today: Proceedings, 2021 - Elsevier
Wire-cut electrical discharge machining (WEDM) has become an indispensable machine
tool in modern manufacturing industries. The growing demand for Ti-alloy components …