Wijaya, Ryan Filbert (2026) Perancangan, Simulasi, Analisis dan Optimasi Sudut Pitch, Jumlah Bilah, Diameter Screw pada Screw Propeller Vehicle dengan Menggunakan Discrete Element Method, Computational Fluid Dynamics, BPNN dan Genetic Algorithm. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada pertengahan abad ke-19, baling-baling sekrup (screw propeller), yang secara konseptual berasal dari sekrup Archimedes, menjadi sistem propulsi yang lebih dipilih, menggantikan kincir dayung yang kurang efisien dan lebih rentan. Desain bawaannya memberikan kinerja yang unggul, terutama dalam kondisi berlumpur yang menantang. Geometri heliks baling-baling memungkinkannya untuk meminimalkan selip dan secara efektif memindahkan media kental, seperti lumpur, sehingga mempertahankan gaya dorong. Selain itu, gerakan rotasi yang berkelanjutan secara alami membersihkan baling-baling, mencegahnya dari kotoran lumpur dan vegetasi, serta menjamin keandalan dan efisiensinya untuk operasi di perairan dangkal dan keruh. Data simulasi dari ANSYS Rocky, Computational Fluid Dynamics kemudian digunakan sebagai masukan untuk Jaringan Saraf Tiruan Backpropagation (BPNN) dan Algoritma Genetika (GA) untuk mendapatkan desain Screw dengan nilai daya (power) minimum, maksimum thrust, dan minimum torsi, dari hasil optimasi dengan menggunakan GA sebesar 24,15 kW, 435,24N, dan 365,74 Nm secara berturut-turut dengan diameter 800 mm, pitch angle 30 derajat dan jumlah blade 2 yang terpilih sebagai variasi paramater yang optimal untuk dijadikan patokan dalam rancang bangun screw propeller.
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By the mid-19th century, the screw propeller, conceptually derived from the Archimedes' screw, had become the preferred propulsion system, superseding the less efficient and more vulnerable paddle wheel. Its inherent design offered superior performance, particularly in challenging muddy conditions. The helical geometry of the propeller allowed it to minimize slip and effectively displace viscous media, such as mud, thereby maintaining thrust. Furthermore, the continuous rotational motion naturally self-cleaned the propeller, preventing it from becoming fouled with mud and vegetation, thus ensuring its reliability and efficiency for operations in shallow and turbid waters. Simulation data from ANSYS Rocky, utilizing Computational Fluid Dynamics (CFD), were subsequently used as input for a Backpropagation Neural Network (BPNN) and a Genetic Algorithm (GA) to obtain a screw design characterized by minimum power, maximum thrust, and minimum torque. The optimization results employing the GA yielded values of 24.15 kW for power, 435.24 N for thrust, and 365.74 Nm for torque, respectively. A diameter of 800 mm, a pitch angle of 30 degrees, and a blade count of 2 were selected as the optimal parameter variations to serve as a benchmark for the design and construction of the screw propeller.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | BPNN, CFD, DEM, Genetic Algorithm, Tanah Gambut, Screw Propeller BPNN, CFD, DEM, Genetic Algorithm, Peat Soil, Screw Propeller |
| Subjects: | Q Science > Q Science (General) > Q325.78 Back propagation Q Science > QA Mathematics > QA336 Artificial Intelligence Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM753 Propellers |
| Divisions: | Faculty of Industrial Technology > Mechanical Engineering > 21101-(S2) Master Thesis |
| Depositing User: | Ryan Filbert Wijaya |
| Date Deposited: | 03 Feb 2026 10:06 |
| Last Modified: | 03 Feb 2026 10:06 |
| URI: | http://repository.its.ac.id/id/eprint/131897 |
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