Austenitic stainless steels (AISI 304) is most versatile grade in stainless steel and widely
used in various industries owing to its attractive properties. It has high durability, high …

Significant advances in theory, simulation tools, advanced computing infrastructure, and
experimental frameworks have enabled the field of materials science to become …

This paper presents a study that investigates the effect of the WEDM process parameters on
the surface roughness average and the kerf width of the stainless steel (SS 304). Nine …

In this comparative study, response surface methodology (RSM) was utilized to predict the
surface roughness (Ra) and cutting force (Fz) when dry turning of AISI 316L austenitic …

Purpose The purpose of this paper is to investigate the influence of turning parameters such
as cutting speed, feed rate and depth of cut on tool flank wear and machined surface quality …

The work and study presented in this paper aims to investigate the effect of nose radius on
surface roughness, in CNC turning of Aluminium (6061) in dry condition. The effect of cutting …

Surface roughness (R a) and micro-hardness (μh) are two important constituents of the
surface integrity (SI) of the machined component. In Wire Electric Discharge Machining …

This paper presents a hybrid approach utilizing Principal Component Analysis (PCA)
integrated with the Taguchi Method to address a multi-criteria optimization problem in the …

Abstract In this Study, Taguchi method and regression analysis has been used to optimize
the machining parameters during the CNC turning of EN-45 spring steel by plain carbide …

Multi-criteria (or) attribute decision making (MCDM/MADM) methods have very high
applications inindustriesforsolving real world engineering problems. In the present work …