Analisis Vibrasi untuk Mengidentifikasi Material Peredam Berbahan Serat Alami pada Lantai Kereta Api menggunakan Software ANSYS

Okarina, Vira (2024) Analisis Vibrasi untuk Mengidentifikasi Material Peredam Berbahan Serat Alami pada Lantai Kereta Api menggunakan Software ANSYS. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengendalian getaran pada kereta terus dikembangkan untuk meningkatkan kenyamanan penumpang. Hal tersebut dapat dilakukan dengan material peredam getaran pada panel lantai kereta serat alami seperti serat rami, sabut kelapa, dan sekam padi yang memiliki kemampuan peredaman getaran yang baik. Analisis getaran berbasis simulasi dibutuhkan untuk meningkatkan efektivitas pengendalian getaran. Sehingga penelitian ini berfokus untuk menganalisis pengaruh serat alami serta masing-masing parameter terhadap kinerja peredaman getaran pada panel lantai kereta melalui perangkat lunak ANSYS. Analisis dilakukan dengan metode modal analysis dan harmonic response analysis. Sampel uji penelitian terdiri atas material satuan dengan ketebalan yang sama 15 mm dan sampel panel lantai kereta dengan ukuran 100 cm x 112 cm serta ketebalan maksimum 52,7 mm. Melalui penelitian ini diperoleh bahwa analisis getaran dapat dilakukan melalui metode modal analysis dan harmonic response analysis, serta dihasilkan data nilai frekuensi natural, citra distribusi getaran, dan respon struktur terhadap getaran. Melalui data-data tersebut diketahui bahwa material dengan frekuensi natural rendah, nilai Modulus Young rendah, Rasio Poisson rendah, dan densitas tinggi optimal meredam getaran berfrekuensi rendah. Berdasarkan amplitudo responnya diketahui serat alami memberikan peningkatan peredaman getaran pada panel lantai kereta. Panel serat rami diketahui sebagai panel dengan peredaman getaran terbaik pada frekuensi 4 – 63 Hz didapatkan nilai rentang amplitudo respon 1,50 x 10-20 m – 4,96 x 10-22 m, diikuti panel sekam padi 3,10 x 10-20 – 1,44 x 10-20 m, panel sabut kelapa 3,82 x 10-20 m – 5,24 x 10-21 m.
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Vibration control in trains is continually being developed to enhance passenger comfort. This can be achieved using vibration-damping materials in the train's floor panels, such as natural fibers like flax fibers, coconut coir, and rice husk, which possess good vibration-damping capabilities. Vibration analysis is needed to improve the effectiveness of vibration control. This research focuses on analyzing the influence of natural fibers and their respective parameters on the vibration damping performance of train floor panels through ANSYS software. The analysis is carried out using modal analysis and harmonic response analysis. The analysis is performed on test samples consisting of individual materials with the same thickness of 15 mm and train floor panels with dimensions of 100 cm x 112 cm and a maximum thickness of 52.7 mm. Through these methods, it was found that vibration analysis can be effectively conducted through modal analysis and harmonic response analysis, resulting in data on natural frequency values, vibration distribution images, and the structural response to vibrations. The data indicated that jute fiber is the optimal material for controlling low-frequency vibrations in train floor panels, as it has low Young's modulus, low Poisson's ratio, and high density. Therefore, natural fibers with low natural frequency can enhance vibration damping in train floor panels. Based on the response amplitude, it is showed that natural fibers enhance vibration damping in train floor panels. The flax fiber panel exhibited the best vibration damping performance within the frequency range of 4 – 63 Hz, with a response amplitude range of 1.50 x 10-20 m – 4.96 x 10-22 m, followed by rice husk panels with 3.10 x 10-20 – 1.44 x 10-20 m, and coconut coir panels with 3.82 x 10-20 m – 5.24 x 10-21 m.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Ansys, Frekuensi Natural, Getaran, Panel Lantai Kereta, Serat Alami, Natural Fiber, Natural Frequencies, Train Floor Panel, Vibration
Subjects:	Q Science > QC Physics > QC221 Acoustics. Sound
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Vira Okarina
Date Deposited:	23 Aug 2024 08:04
Last Modified:	23 Aug 2024 08:04
URI:	http://repository.its.ac.id/id/eprint/113921

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