Investigation on the surface roughness of the Nimonic C-263 alloy during turning under different machining conditions

Tuan Hussin, Tuan Norliza Hanim (2022) Investigation on the surface roughness of the Nimonic C-263 alloy during turning under different machining conditions. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Investigation on the surface roughness of the Nimonic C-263 alloy during turning under different machining conditions.pdf - Submitted Version Download (709kB)
	Text (Full Text) Investigation on the surface roughness of the Nimonic C-263 alloy during turning under different machining conditions.pdf - Submitted Version Restricted to Registered users only Download (1MB)

Abstract

This study was conducted at the high-speed finish turning the process of Nimonic C-263 Alloy in order to evaluate the surface integrity of the machined surface and make a comparison of the surface roughness (Ra) values for dry and flooded conditions using PVD coated carbide insert. This study was also carried out to achieve three objectives which are to determine the significant factors onto surface roughness for both conditions (dry and flood) through ANOVA analysis and lastly to investigate the surface roughness values of Nimonic Alloy C263 under dry and flood conditions. The experimental design for this experiment was based on the response surface methodology (RSM) in identifying the best performance of significant factors. The box-Behnken design was selected to arrange the machining parameters. The cutting parameters that had been selected in this study are cutting speed (60-120 m/min), feed rate (0.05-0.15 mm/rev), and depth of cut (0.3-0.5mm). The surface roughness values were measured at every 20mm along the machineds surface using a portable surface roughness tester until the flank wear average, Vb value exceeds 0.2mm. ANOVA analysis was used to identify cutting parameters that significantly towards the response. ANOVA analysis showed that the feed rate was the most significant cutting factor affecting the surface roughness. A regression model was developed for surface roughness through this ANOVA analysis. Based on the results obtained, the application of flooded coolants produced better surface roughness rather than in dry conditions. Additionally, the result showed that the optimum parameter for both machining conditions was the feed rate

Actions (login required)

View Item