Investigation of Thruster Design to Obtain the Optimum Thrust for ROV (Remotely Operated Vehicle) Using CFD

The Bánki turbine is a cross-flow turbine with a simple structure that is easy to modify. Changing the turbine's runner geometry is one of the modifications that have an effect on its performance. The goal of this study is to quantify the effect of increasing number of blades and the angle of the blades on the performance of the Bánki turbine. This study was carried out using threedimensional modeling with the ANSYS CFX device and the computational fluid dynamics (CFD) method. The five angles of the blade, namely 10˚, 15˚, 20˚, 25˚, and 30˚, are used to create variations. In addition to the angle factor of the blade, research has been conducted on the number of blades, which are 12 blades, 16 blades, 20 blades, 24 blades, 32 blades, 36 blades, 40 blades, 48 blades, and 52 blades. In a steady-state modeling condition, the applied boundary condition is a water flow velocity of 3 m/s. The results of the CFD modeling are analyzed using a factorial design analysis (FDA). The results indicate that runners with a 15˚ Blade's angle and 40-blade perform best. Results of the factorial design analysis show that the blade angle factor and the number of blades interact.

Section: Modeling Methodsmentioning

confidence: 99%

“…This model is divided into two zones, namely the stationary zone and the rotary zone. The division of the model into two zones is usually done in water turbine modeling 20,21) . Fig.…”

Section: Modeling Methodsmentioning

confidence: 99%

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Effect of Blade Angle and Number on the Performance of Bánki Hydro-Turbines: Assessment using CFD and FDA Approaches

Prabowoputra¹,

Prabowo²,

Yaningsih³

et al. 2023

“…The research method is carried out by determining the zoning by giving a weighting score. Furthermore, the geographical information system (GIS) method is used to classify the factors causing landslides [24][25][26][27][28][29][30] and classify the landslide vulnerability zone [31][32][33][34][35][36][37] . The factors used to classify the area's vulnerability to landslides are slope, lithology, land wetness, relative relief, land cover, and rainfall as supporting data in the study.…”

Section: Methodsmentioning

confidence: 99%

Landslide Vulnerability Identification Based on the Geological Condition, GIS Calculation, and Field Validation in the Tropical Area

Kausarian,

Septio,

Josaphat Tetuko Sri Sumantyo

et al. 2023

This study focuses on mapping areas that are vulnerable to landslides in tropical areas by taking a case study in the district of XIII Koto Kampar, Riau Province, Indonesia, which is in the tropical areas on 0°01'40"N to 0°27'00"N and 100°28'30"E -101°14'30"E. This study aims to determine the characteristics of landslide assessment and the zone mapping of the landslide vulnerability level using a comprehensive method from primary and secondary data. Primary data are Geological Data, Digital Elevation Model (DEM), and Landsat-8 OLI Satellite Imagery Data. Furthermore, secondary data consists of Lithological Data, Slopes Data, Relative Relief Data, Land Wetness Data, Land Cover Data, and 2021 Rainfall Data. The analysis of landslide vulnerability areas in this study is processed using a Geographic Information System (GIS) for scoring and classifying landslide vulnerability areas. From all the processed data, an analysis is carried out to connect and overlay them to get complete data in determining the zoning of the landslide vulnerability classification in the research area. The study in this research area resulted in a landslide vulnerability score and classification that was divided into 4 categories: Very Low Vulnerability area (22.6%), Low Vulnerability area (61.8%), Medium Vulnerability area (15.2%), High Vulnerability area (0.4%).

“…Combustor H is a multipurposesubscale rocket thrust chamber that exhibits spontaneous acoustic resonance of an engine running on LOX/LH2 propellants, while Combustor D evaluated the resultant flame under forced acoustic interactions and perturbations (see 28) for detailed information). A wide variety of theoretical and pragmatic methods, such as setting up a Lattice-Boltzmann Model(LBM), CFD simulations 48,49) , Shadow-graphic Imaging, and Lumped parameter modeling, were used to visualize the instability pattern in these simulated probes and these approaches were convenient in evaluating the combustion instabilities and the behavior of the cryogenic propellant under realistic LPRE conditions (transient, injection, and ignition), thereby delivering better, sharper results.…”

Section: Combustion Dynamics and Instabilitymentioning

confidence: 99%

A Review on Advancements and Characteristics of Cryogenic Propulsion Rocket Engine

R¹,

Jeyan²

2023

Future space exploration missions will require the synergistic integration of potentially lightweight, high thrust producing, and environmentally sustainable rocket engines. This article guides through one such capable rocket engine, the cryogenic propulsion rocket engine and some cutting-edge characteristics and novel engineering advancements affiliated with it. A typical cryogenic-propulsion rocket engine works similarly to all other LPRE's (Liquid Propellant Rocket Engines), in which the primary fluid (Cryogenic fuel 1) reacts chemically to get vaporized and get ignited by an oxidizer to provide extremely hot rocket thrust that escapes the engine nozzle and generates thrust from the combustion process. Considerable efforts have been made to optimize the engine's performance and reliability in order to utilize the most desirable output from it. Therefore, a brief overview of the different models and research approaches associated with it to provide predictions and results about the stability, dynamics, and cooling characteristics of the given engine configuration is presented.