Optimization of Cutting parameters of AISI 1018 Low Carbon Mild steel in turning using green cutting fluid by Taguchi Method

Abstract

The objective of this work is to optimize the response Cutting parameters (Tool wear and Material Removal Rate) of AISI 1018 Low carbon mild steel by Taguchi Method in straight turningprocess. We have taken speed, feed, depth of cut and types of cutting fluids as machining parameters with their three level values. In our study a commercial semi-synthetic cutting fluid (SSCF) and two vegetable based cutting fluids are used and values of response variables are analyzed to see if the performance of response machining parameters is increased by using Vegetable based cutting fluids for sustainable machining.For individual optimization,Taguchi‟s L9(34 ) orthogonal array and Analysis of Variance(ANOVA) are used. The optimum results are verified with the help of confirmation test

Artificial Neural Network-Based Tool Wear Prediction in Turning AISI 1040 Medium Carbon Steel Blanks

“…The model demonstrated effectiveness, producing optimal results with a regression coefficient of 0.9964, showcasing close correlation between the predicted values and experimental observations. Ghosh et al (2022) employed the Taguchi method to optimize Tool wear and Material Removal Rate (MRR) during the turning of mild steel AISI 1018. Cutting parameters such as speed, feed, depth of cut, and types of cutting fluids (three levels each) were considered, using two vegetable-based cutting fluids and a semi-synthetic water-emulsified cutting fluid.…”