Abstract

Remotely Operated Vehicle (ROV) is one of the technology that can facilitate for observing and exploring the underwater condition (sea). The design and manufacturing process of underwater robots needs many support and increase the performance of the underwater robot to do some missions. Thruster is one of main component which has function as an actuator during the operation. In the present study, propeller design the most important for solving the problem of an ROV. For the optimization of thrust, Genetic Algorithms (GA) can powerfully search for parameters in large multidimensional design space. Thus, the principle can be applied for determining the initial dimension of the propeller for producing optimum thrust of ROV. GA was successfully shown able to obtain an optimal set of parameters leading to propeller characteristics and best performances.

Highlights

  • Operated Vehicle (ROV) is an instrument formed mini-sized submission vehicle

  • Remotely Operated Vehicle (ROV) is used for activities in humanunreached area like an underwater small cave

  • Underwater robot design and manufacturing absolutely requires many supporting components to improve the underwater robot operation to perform a variety of underwater missions

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Summary

Introduction

Operated Vehicle (ROV) is an instrument formed mini-sized submission vehicle. ROV is usually to explore underwater object, such as underwater photography, military operation and underwater pipeline repairing. ROV is designed to have abilities to rescue operation and repairing of object from the surface [1]. The genetic algorithms are one of method that has tool for optimization for many difficult optimization problems with multi objectives. GA methods were shown to be able to replace the traditional computation method and design charts. In this case for determining the initial propeller that optimum for ROV thruster is difficult. The goals of present research to determine the optimum value of thrust for ROV by 3 parameters, pitch diameter ratio, expanded blade area ratio, and rotational speed of propeller. Applying GA methods to propeller design with consideration of thrust for reaching the best performance of propeller

Propeller design
Parameters of optimization
Optimization procedures
Optimization Output
Results
Conclusion
Full Text
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