Aris, Gedy Lydian (2025) Rancang Bangun Sistem Sandblasting Otomatis Dengan Bantuan Robot Crawler Pada Proses Docking Kapal. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pemeliharaan kapal, khususnya prosedur sandblasting untuk menghilangkan karat, cat lama, dan residu logam, merupakan proses krusial. Metode konvensional yang mengandalkan pengerjaan manual terbukti tidak efisien, memakan waktu, memerlukan biaya signifikan, serta memiliki risiko keselamatan kerja yang tinggi akibat paparan partikel abrasif dan kondisi lingkungan berbahaya. Penelitian ini bertujuan untuk merancang dan mengembangkan robot crawler sandblasting berteknologi roda magnetik. Robot ini dirancang agar mampu melakukan proses sandblasting pada permukaan lambung kapal secara otomatis, sehingga dapat mengoptimalkan efisiensi dan mengurangi risiko operasional. Robot yang diusulkan menggunakan magnet permanen yang terintegrasi pada trackpad untuk daya rekat berkelanjutan. Konfigurasi ini memungkinkan pergerakan yang stabil dan pemosisian yang akurat untuk operasi sandblasting yang efektif. Hasil pengujian menunjukkan bahwa robot mampu menjaga stabilitas operasional saat menempel dan bergerak pada permukaan vertikal. Analisis kinerja sandblasting secara spesifik mengungkap karakteristik kehilangan tekanan (pressure loss) yang terukur dalam rangkaian sistem pada berbagai ketinggian. Lebih lanjut, penelitian ini berhasil mengidentifikasi radius dan ketinggian efisien nozzle terhadap pelat target yang krusial untuk mencapai kualitas pembersihan permukaan yang optimal dan merata. Dengan demikian, penerapan Robot crawler ini diharapkan dapat meningkatkan efisiensi biaya dan produktivitas dalam pemeliharaan kapal melalui otomatisasi. Solusi ini juga berpotensi meningkatkan kesehatan dan keselamatan kerja secara substansial dengan mengurangi paparan langsung pekerja terhadap lingkungan kerja yang berbahaya.
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Ship maintenance, particularly the sandblasting procedure for removing rust, old paint layers, and residues from metal surfaces, is a crucial process. However, conventional methods relying on manual labor are often time-consuming, incur significant costs, and pose a high risk to workers due to abrasive exposure and hazardous working conditions. This research aims to design and develop a magnetic wheel-based crawler robot. This robot is engineered to autonomously perform sandblasting on ship surfaces, thereby optimizing process efficiency and mitigating operational risks and hazards to workers. The proposed robot achieves stable movement and adhesion to the ship hull through a permanent magnets integrated into the trackpad ensure continuous adhesion during locomotion. This magnetic configuration guarantees stable movement and accurate positioning for effective sandblasting operations. System testing demonstrates the robot's ability to maintain operational stability while adhering to and moving on vertical surfaces. Specific analysis of sandblasting performance reveals measurable pressure loss characteristics within the system at different heights. Furthermore, this study successfully identified the efficient radius and height of the nozzle relative to the ship plate, which is crucial for achieving optimal and uniform surface cleaning quality. Consequently, the implementation of this Crawler Robot is expected to optimize cost efficiency and enhance productivity in ship maintenance through the automation of the sandblasting process. This solution also holds the potential to substantially improve worker health and safety by reducing direct exposure to hazardous working environments.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Robot crawler, Pemeliharaan Kapal, Sandblasting |
Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ211 Robotics. V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM163 Hulls (Naval architecture) |
Divisions: | Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis |
Depositing User: | Gedy Lydian Aris |
Date Deposited: | 04 Aug 2025 06:54 |
Last Modified: | 07 Aug 2025 01:27 |
URI: | http://repository.its.ac.id/id/eprint/126192 |
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