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Enhancing Machining performance in Stainless Steel Machining using MXene Coolant: A Detailed Examination.
- Source :
- International Journal of Automotive & Mechanical Engineering; Mar2024, Vol. 21 Issue 1, p10993-11009, 17p
- Publication Year :
- 2024
-
Abstract
- Metal cutting, a complex process in manufacturing, involves various factors that significantly affect the quality of the final product. Notably, the turning process is crucial, with outcomes that heavily depend on multiple machining parameters. These parameters encompass speed, depth of cut, feed rate, the type of coolant used (specifically, high heat transfer MXene coolant), and insert types, among others. The material of the workpiece is also a critical factor in the metal-cutting operation. This study focuses on achieving optimal surface quality and minimizing cutting forces in the turning process. It recognizes the substantial impact of numerous process parameters, directly or indirectly affecting the product's surface roughness and cutting forces. Understanding these optimal parameters can lower machining costs and improve product quality. Our research concentrates on turning a stainless-steel alloy workpiece using a carbide insert tool. We employ the Response Surface Method (RSM) to optimize cutting parameters within a set range of cutting speed (100, 125, 150 m/min), feed rate (0.1, 0.2, 0.3 mm/rev), and depth of cut (0.4, 0.8, 1.2 mm). Additionally, we use various tool geometries and the RSM design of experiments to enhance and analyze the multi-response parameters of surface roughness and tool life. Optimal machining parameters for MXene-NFC involve a cutting speed of 140 m/min, a feed rate of 0.05 mm/rev, and a depth of cut of 0.5 mm. These settings ensure minimal surface roughness, maximum tool life, and the greatest total length of cut, achieving a composite desirability of 0.695. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22298649
- Volume :
- 21
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- International Journal of Automotive & Mechanical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 177271122
- Full Text :
- https://doi.org/10.15282/ijame.21.1.2024.04.0850