Analysis of Surface roughness and tool wear rate for turning parameters using Taguchi Optimization Technique
Shilpa anil wagh anil wagh
Paper Contents
Abstract
The study aims to determine the effectiveness of vegetable and synthetic oils in improving machining performance, particularly in small-scale industries where cost constraints and environmental regulations are significant concerns. The input parameters of Cutting Speed, Depth of Cut, Feed rate and Fluid Flow rate is optimized using Taguchi analysis method. Preliminary results suggest that both types of oils offer unique advantages in terms of lubrication properties, with the choice of lubricant potentially influencing tool wear and surface quality. This investigation provides valuable insights into optimizing machining processes while promoting sustainable manufacturing practices in small-scale operations. The experimental setup involves the use of a lathe machine where the turning process is conducted under varying lubrication conditionsvegetable oil and synthetic oil, each delivered in minimal quantities through the MQL system. Tool life is assessed by measuring the wear and deterioration of the cutting tool over a specified number of machining cycles, while surface finish is evaluated through roughness measurements using a Talysurf.
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Copyright © 2025 Shilpa anil wagh. This is an open access article distributed under the Creative Commons Attribution License.