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ANALISIS PARAMETER PEMOTONGAN TERHADAP DAYA PEMESINAN PADA PROSES FACE MILLING MATERIAL BAJA AISI 1045

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The increasing electrical power consumption in the manufacturing industry necessitates the optimization of machining parameters to achieve higher efficiency and sustainability. Milling Process is one of the machining operations that requires relatively high power, in which cutting parameters directly influence the machining power consumption. This study aims to analyze the effects of cutting speed (Vc), feed per tooth (fz), depth of cut (a), and type of nanoparticles on machining power in the face milling process of AISI 1045 steel using a coconut oil based cutting fluid supplemented with Al₂O₃, and Fe₃O₄ nanoparticles. Machining power was measured indirectly through electrical current measurements using an SCT-013 current sensor installed on a conventional DAHLIH DL-U2 milling machine. The experimental data were designed using the Taguchi method with an L9 (33) orthogonal array and analyzed using the Signal to Noise Ratio (SNR) and Analysis of Variance (ANOVA). The results indicate that cutting speed is the most influential parameter affecting machining power, with a contribution of 89,92%. The optimum machining condition was achieved using Al₂O₃ nanoparticles at a cutting speed of 22.5 m/min, a feed per tooth of 0.028 mm/tooth, and a depth of cut of 0.50 mm, resulting in a optimum machining power of 1552 W. Therefore, the use of coconut oil based nanofluids with Al₂O₃ nanoparticles is effective in reducing machining power consumption and supports more environmentally friendly machining processes.

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Detail Information

Series Title

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Call Number

T1916012025

Publisher

Indralaya : Prodi Teknik Mesin, Fakultas Teknik Universitas Sriwijaya., 2025

Collation

xvii, 41 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

621.907

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Mesin
Pemesinan logam

Specific Detail Info

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Statement of Responsibility

TUTI

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