Sep 2026· The eurasia proceedings of science, technology, engineering & mathematics· 0 citations· 20 references
Abstract
This study investigates the effects of fundamental machining parameters including insert types on the surface roughness (Ra) obtained during finish turning of AISI 4340 steel. External turning experiments were conducted on a Spinner TC65 CNC turning centre using a Taguchi L9 orthogonal array. Three different inserts like uncoated carbide, coated carbide, and CBN, respectively, were used to find out optimal conditions. Analysis of variance was carried out and the multiple linear regression equation was established. The results indicated that measured Ra values ranged from 0.361 to 2.411 μm. Feed rate was the dominant factor affecting on Ra, followed by cutting speed/insert type, and depth of cut. The optimal conditions based on the S/N response were determined as a cutting speed of 230 m/min, a feed rate of 0.08 mm/rev, a depth of cut of 1.2 mm, and the CBN insert. The regression model explained the Ra response with R-sq = 98.05%, R-sq(adj) = 96.10%, and R-sq (pred) = 90.09%. Moreover, ANOVA results revealed that feed rate was statistically significant (p < 0.001) by indicating the highest contribution to the variation of Ra values. Cutting speed was also statistically significant (p = 0.029), while the insert type and depth of cut were not statistically significant at the 0.05 level.
This study investigates the effects of machining process parameters on chip morphology, tool wear, and surface roughness (SR) using a Taguchi-based grey relational analysis with an L9 orthogonal array. The material for the investigation was 6061 aluminum alloy, machined via lathe turning operations. The highest surface...
In modern manufacturing, optimizing machining parameters is crucial for enhancing productivity, reducing costs, and improving surface quality. Turning, a widely used metal cutting process, often suffers from inefficiencies due to poor parameter selection, leading to increased tool wear and energy use. This study invest...
S. Omotehinse, Esiri Amagre Monday, Precious Osayomwanbor et al.· FUDMA Journal of Sciences· 0 citations
In this paper, an experimental optimization of cutting parameters in computer numerical control (CNC) milling of mild steel with the Taguchi method of robust design is presented. Three control factors, spindle speed, feed rate and depth of cut, were selected and tested at three levels each, and arranged in Taguchi L9(3...
Innocent Mapindu, Gilbert Munhuwamambo, Destine Mashava et al.· Global Journal of Engineerin...· 0 citations
EN24 alloy steel is widely used in high-strength engineering components such as shafts, gears and spindles, where machining performance and surface integrity are critical for reliable service. The present work investigates the influence of spindle speed, feed rate and depth of cut on material removal rate (MRR) and sur...
Y. R. Vadaje, H. A. Chavan· International Journal of App...· 0 citations
Machining operations, particularly precision turning, are fundamental to determining the service life and functional performance of mechanical components. This study presents a systematic optimization of turning parameters specifically cutting speed (V), depth of cut (D), and feed rate (F) to achieve an optimal balance...
Mohamed Rahuma G. Rahuma, Wannees A. Shabeesh· Taj Al-Ma'rifa journal· 0 citations
Stainless Steel 316 (SUS316) is widely employed in critical industrial components due to its mechanical strength and corrosion resistance, but its low thermal conductivity and high ductility make it a difficult to machine material. This study investigates the influence of spindle speed, feed rate, and depth of cut on s...
Muhamad Daffa Aditya Eka Pratama, Benidiktus Tulung Prayoga, Galuh Bahari et al.· Tribology in Industry· 0 citations
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