ANALISIS PENGARUH PENGGUNAAN NANO-CUTTING FLUID PADA PROSES FREIS TERHADAP KEKASARAN PERMUKAAN MENGGUNAKAN METODE TAGUCHI

SYAUKANI, MUHAMMAD MAULVY and Yanis, Muhammad (2022) ANALISIS PENGARUH PENGGUNAAN NANO-CUTTING FLUID PADA PROSES FREIS TERHADAP KEKASARAN PERMUKAAN MENGGUNAKAN METODE TAGUCHI. Undergraduate thesis, Sriwijaya University.

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Abstract

The quality of the machining process is determined by the surface roughness produced. In this study, the optimization of milling machining parameters and the comparison between two vegetable-based cutting fluids on the surface roughness of AISI 1045 steel workpieces. The cutting fluid used was pure coconut oil and coconut oil with 1% mixture of Al2O3 nanoparticle. Cutting speed, feed rate, and axial depth of cut were considered as milling machining parameters. Taguchi's L9(33) orthogonal array, signal-to-noise ratio, and analysis of variance (ANOVA) were used to analyze the impact of these machining parameters. The analysis of the results indicates that the optimal combination of machining parameters to produce the best surface roughness is high cutting speed, low feed rate, and low depth of cut. The comparison of cutting fluid to surface roughness shows that coconut oil with a mixture of nanoparticles can produce better surface roughness.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	kekasaran permukaan, metode Taguchi, nanopartikel
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1040-1119 Machinery exclusive of prime movers > TJ1075.A66 Lubrication and lubricants T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1185 General works Machine tools and machining Including errors in workmanship, accuracy of fitting, etc. > TJ1185.A685 Machining. Manufacturing processes T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1185 General works Machine tools and machining Including errors in workmanship, accuracy of fitting, etc. > TJ1185.W382313 Machine-tools
Divisions:	03-Faculty of Engineering > 21201-Mechanical Engineering (S1)
Depositing User:	Muhammad Maulvy Syaukani
Date Deposited:	08 Aug 2022 04:30
Last Modified:	08 Aug 2022 04:30
URI:	http://repository.unsri.ac.id/id/eprint/76512

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