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ANALISIS KEKASARAN PERMUKAAN BAJA AISI 1045 PADA PROSES FREIS MENGGUNAKAN MACHINE LEARNING

Sustainability in the manufacturing industry demands the optimization of machining processes to be both environmentally friendly and cost-effective. This research aims to analyze and predict surface roughness (Ra) in the milling process of AISI 1045 steel by integrating the Minimum Quantity Lubrication (MQL) method using vegetable oil-based nanofluids and Al2O3 nanoparticles. The use of vegetable oil is intended to replace mineral oils that pose risks to human health and the environment, while Machine Learning technology is applied to replace trial-and-error methods in determining product quality. The research method is quantitative with an experimental approach conducted on a conventional milling machine using carbide endmill tools. The research variables include cutting speed (Vc), feed rate (fz), and depth of cut (a). Experimental data were analyzed and modeled using two Machine Learning algorithms: Support Vector Machine (SVM) and Decision Tree. The results indicate that cutting speed significantly influences the reduction of surface roughness values, whereas an increase in feed rate and depth of cut tends to increase roughness. The most optimal machining condition was obtained at Vc 40.82 m/min, fz 0.028 mm/tooth, and a 0.5 mm. Model evaluation shows that Support Vector Regression (SVR) achieves a higher level of accuracy compared to the Decision Tree, with a MAPE of 8.67% and an MSE of 0.0054. Thus, the application of SVR proves effective for accurately predicting surface roughness, supporting sustainable manufacturing production efficiency.

Availability
#
Central Library (Reference) T1914712025
T191471
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1914712025
Publisher
Indralaya : Prodi Teknik Mesin, Fakultas Teknik Universitas Sriwijaya.,
Collation
xxix, 91 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
671.350 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Teknik Mesin
Manufaktur Logam — Proses Pemesinan
Specific Detail Info
-
Statement of Responsibility
Other version/related
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