ANALISIS KEKASARAN PERMUKAAN DENGAN RESPONSE SURFACE METHODOLOGY PADA KONDISI PEMESINAN MENGGUNAKAN NANOFLUID AL2O3 DALAM SISTEM MINIMUM QUANTITY LUBRICATION

ALFALAH, UNGGUL and Yanis, Muhammad and Budiman, Arie Yudh (2022) ANALISIS KEKASARAN PERMUKAAN DENGAN RESPONSE SURFACE METHODOLOGY PADA KONDISI PEMESINAN MENGGUNAKAN NANOFLUID AL2O3 DALAM SISTEM MINIMUM QUANTITY LUBRICATION. Undergraduate thesis, Sriwijaya University.

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Abstract

High-performance steel machining naturally increases the temperature of the high-temperature cutting zone such as causing dimensional deviations and premature failure of the cutting tool. In addition to also damaging the surface integrity of the product, optimization of freis machining parameters and the ratio between two vegetable oil-based cutting fluids to the surface roughness of the steel workpiece AISI 1045. The cutting fluids used are virgin coconut oil and coconut oil with 1% mixture of Al2O3 nanoparticles. The varied freis machining parameters are cutting speed, feeding motion. Central Composite Design Actual Experiments, and Variance Analysis (ANOVA) used to analyze the impact of such machining parameters. The analysis carried out showed that the optimal combination of machining parameters to achieve low surface roughness is a high cutting speed and a low feeding rate. The comparison of cutting fluids to surface roughness shows that coconut oil with a mixture of nanoparticles is capable of producing better surface roughness

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Surface Roughness, Response Surface Method, Nanoparticle.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1040-1119 Machinery exclusive of prime movers > TJ1061.A6 Bearings (Machinery) Lubrication and lubricants. T Technology > TJ Mechanical engineering and machinery > TJ1040-1119 Machinery exclusive of prime movers > TJ1075.A66 Lubrication and lubricants
Divisions:	03-Faculty of Engineering > 21201-Mechanical Engineering (S1)
Depositing User:	Unggul Alfalah
Date Deposited:	08 Aug 2022 04:36
Last Modified:	08 Aug 2022 04:36
URI:	http://repository.unsri.ac.id/id/eprint/76520

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