Influence of molybdenum disulfide particles' concentration on waste cooking oil nano fluid coolant in cutting force reduction on machining SAE 1144 steel. (2022)

• Record Type: Journal Article
• Authors: Baskaran, P.; Saravanan, R.; Vignesh, M.; Prasanna, N.; Gnanavel, C.; Nagarathi, D.K.; Gopalakrishnan, T.
• Is Part Of: Materials today. Volume 62:Part 4(2022)
• Page Start: 1969
• Page End: 1972
• Publication Date: 2022
• Subjects: Waste -- Novel nano fluid -- Molybdenum disulphide -- SAE 1144 -- Cutting force; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2022.02.191
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Utilization of waste cooking oil to develop a Nanofluid with Molybdenum disulfide Nanoparticles for a metal machining application is focused in this research. Based on the nature of lubricating, non-corrosive and biodegradable properties the waste cooking oil and nano Molybdenum disulfide combination is preferred in this research. Molybdenum disulfide Nano-particles enriched waste cooking oil in minimizing cutting forces. This investigation involved 2 group of samples the group-I is control group in which the samples machined (turning) in heavy duty lathe by green machining method. The sample of intervention group machined Nanofluids with variable concentration of Molybdenum disulfide between 0.1 and 0.25 wt%. The sample size estimated with G-Power 80% and was 12 per group but 16 samples group considered to conducting experiments and optimizing the process parameters by means of Taguchi analysis. The results of cutting forces encountered were measured under various combinations of similar input conditions for both green machining and Molybdenum disulfide Nano-particles enriched waste cooking oil based wet machining method for lathe machining of AE 1144 shaft. The statistical test reveals that Molybdenum disulfide Nano-particles enriched waste cooking oil based wet machining method averagely reduced the cutting force 27.53% than green machining method. The significant value is 0.001 (p < 0.05). It was ensured that the results did not violate the statistical assumption.