Reconnoitering the influence of nanofluid of Nano- alumina particles enriched waste coconut oil in Machining SAE 1045 shaft on modification Surface finish. (2022)

• Record Type: Journal Article
• Authors: Anbuchezhiyan, G.; Saravanan, R.; Pugazhenthi, R.; Rathinam, V.; Nagireddy, Madhavi
• Is Part Of: Materials today. Volume 64:Part 1(2022)
• Page Start: 661
• Page End: 666
• Publication Date: 2022
• Subjects: Surface Roughness -- Waste -- Novel Nano fluid -- Alumina -- Sample size, SAE 1045; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2022.05.183
• Languages: English
• ISSNs: 2214-7853

Abstract

Highlights: 5 nm sized Alumina Nano-particles considered for suspension on the waste coconut oil. Variable input parameters are cutting velocity, depth of cut, and feed rate in millimetre. Waste coconut oil-based Nano fluid reduced the average Surface Roughness. Nose radius factor not influencing in the response of Surface Roughness. Abstract: Nanofluids plays critical role in thermal engineering. In this research prepare nanofluid for improving the thermal as well as tribological properties for shaft manufacturing. The surface quality is a prime factor in the failures of shaft by fatigue load. Here used coconut oil or waste coconut oil from Kerala chips shop for base fluid. This study looked into the effect of a Nano fluid containing Nano-alumina particles which float on the base fluid of coconut oil for the purpose of act as coolant and thereby reducing surface roughness on machined surface. The samples in this study were divided into two groups: group I was the control group, and group II was the experimental group, in which the samples were machined (turned) on a heavy-duty lathe using the green machining process. The intervention group's sample was machined using a clean technology approach using 0.3 percent Nano-alumina particles enriched waste coconut oil based wet machining process. The sample size was estimated to be 12 per group using G-Power 80 percent, while 16 samples observations were examined to optimize process parameters using Taguchi analysis and analysing further using ANOVA to validate the statistical model, observation fits, and mathematical model creation. The Surface Roughness encountered under various combinations of similar input conditions for both green machining and Nano- alumina particles enriched waste coconut oil based wet machining methods were compared, and it was discovered that material processing of AE 1045 shaft by graphite enriched waste coconut oil based wet machining method significantly reduced Surface Roughness. 0.006 (p 0.05) is indicated that observation are significant. According to the results of the experimental investigation, the proposed Nano-alumina particles concentrated waste coconut oil based wet machining method reduces Surface Roughness by 39.95% on average and ensures that the results do not violate the statistical assumption, it can be recommended to process SAE 1045 material for shaft manufacturing.