Optimization of Ducted Propeller Design for the ROV (Remotely Operated Vehicle) by Using CFD
- Alternative Title
- CFD를 이용한 ROV의Ducted Propeller최적설계
- Abstract
- The development of underwater robot technology is growing rapidly. For reaching the best performances, ROV should be innovated on the thruster and propeller is an important thing for the ROV thruster.
For this research, the ducted propeller thruster is used and three type of SHUSKHIN nozzle is selected. Those design compared in accordance with the thruster that has been made as the propulsion device of the underwater robot. Each type of the thruster model indicates different force and torque. Thus, for the analysis each model is generated using Computer Aided Design (Rhinoceros) program packages and by using Computational Fluid Dynamics (CFD) the most optimal model that has highest thrust is found. Among all of the model, the Kaplan series (Ka5-75) with the type C of nozzle has the highest thrust which is 2.53 N or 25.24% of extra thrust.
For the optimization of thrust, Genetic Algorithms (GA) is used. The GA can search for parameters in large multi-dimensional design space powerfully. Thus, the principle can be applied for determining the initial propeller that produce optimum thrust of ROV. The GA is successfully shown to able to obtain an optimal set of parameters leading to propeller characteristics and best performances.
- Issued Date
- 2016
- Awarded Date
- 2016. 2
- Type
- Dissertation
- Publisher
- 부경대학교 대학원
- Alternative Author(s)
- Aldias BAHATMAKA
- Affiliation
- 부경대학교 대학원 조선해양시스템공학과
- Department
- 대학원 조선해양시스템공학과
- Advisor
- 김동준
- Table Of Contents
- Acknowledgements
Contents i
Abstract iv
List of Figures vi
List of Tables viii
Chapter 1: Introduction 1
1.1 Background 1
1.2 Objective and research method 4
1.3 Outline and contribution of thesis 5
Chapter 2: Fundamental of Theory 7
2.1 Introduction 7
2.2 Geometry design 7
2.2.1 Propeller design 8
2.2.2 Nozzle design 12
2.3 Computational fluid dynamics 13
2.4 Genetic algorithm optimization 20
Chapter 3: Research Methodology 26
3.1 Matter of Research 26
3.1.1 ROV (Remotely Operated Vehicle) 26
3.1.2 Propeller Data 29
3.1.3 Nozzle Data 30
3.1.4 Dependent and independent variables 31
3.2 Time and place of research 32
3.3 Collecting data 32
3.3.1 Literature Survey 32
3.3.2 Field study 32
3.4 Analysis and data processing 32
3.4.1 Design of models 32
3.4.2 Analysis and simulation of CFD 33
3.4.3 Optimization 33
3.4.4 Conclusion 33
3.5 Research planning 34
3.6 Flow Chart 35
Chapter 4: Simulation and Optimization Results 36
4.1 CFD analysis using CFX 36
4.1.1 Introduction 36
4.1.2 Ducted propeller model 37
4.1.3 Meshing strategy 44
4.1.4 CFD setup 47
4.1.5 Result of CFD analysis 53
4.1.5.1 Streamline simulation 53
4.1.5.2 Pressure contour 55
4.1.6 Discussion 59
4.1.6.1 Analysis using Star CCM+ 59
4.1.6.2 Result of Star CCM+ Analysis 66
4.1.6.2.1 Streamline simulation 66
4.1.6.2.2 Pressure contour 66
4.1.6.2.3 Comparison of results 67
4.2 Optimization Analysis using Genetic Algorithms
Optimization (GA) 67
4.2.1 Introduction 67
4.2.2 Optimization using Genetic Algorithms (GA) 68
4.2.3 Result of General Algorithms Optimization 74
4.2.4 The final process for optimum thrust of the ducted propeller 75
4.2.5 Results of CFD Analysis for the new design 76
4.2.5.1 Streamline simulation 76
4.2.5.2 Pressure contour 76
4.2.5.3 Comparison results between the old design
and the new design 77
4.2.6 Discussion 77
Chapter 5: Conclusions 78
5.1 Conclusions 78
5.2 Future works 79
References 80
- Degree
- Master
- Appears in Collections:
- 대학원 > 조선해양시스템공학과
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