Optimization of thrust propeller design for an ROV (Remotely Operated Vehicle) consideration by Genetic Algorithms

Bahatmaka, Aldias; Kim, Dong Joon; Chrismianto, Deddy; Hải, Nguyễn Minh; Prabowo, Aditya Rio

doi:10.1051/matecconf/201713807003

Cited by 9 publications

(13 citation statements)

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“…Berdasarkan hasil evaluasi terhadap ROV karya Tim Robotik UNTAR pada SRG 2020, masih terdapat unsur yang perlu dioptimasi khususnya dalam peningkatan thrust maupun kemampuan bermanuver sehingga menjadi lebih baik dan stabil melalui konfigurasi propeller yang digunakan (Abidin et al, 2015;Bahatmaka et al, 2016Bahatmaka et al, , 2017. Propeller pada ROV akan memiliki unjuk kerja yang lebih baik apabila dapat menghasilkan thrust dan power yang lebih tinggi pada putaran yang lebih rendah (Christ & Wernli, 2013).…”

Section: Pendahuluanunclassified

“…Mengacu pada keadaan tersebut, optimasi dilakukan terhadap model thruster dengan mengaplikasikan konsep desain propeller kapal atau marine sesungguhnya. Lebih lanjut, analisis optimasi didasarkan pada aplikasi kort nozzle dengan konfigurasi yang tepat untuk meningkatkan thrust propeller (Bahatmaka et al, 2016;Gerr, 2001). Kemudian, optimasi tersebut akan dianalisis dengan pendekatan CFD (Computational Fluid Dynamics) yang mana melalui pendekatan ini, gambaran mengenai distribusi tekanan dan aliran fluida dapat diperoleh (Abidin et al, 2015;Bahatmaka et al, 2016Bahatmaka et al, , 2017Muljowidodo et al, 2009;Pan et al, 2019;Rahman, 2016).…”

Section: Pendahuluanunclassified

“…Metode penelitian yang digunakan adalah metode numerik menggunakan software simulasi CFD ANSYS CFX 2020 R1 dengan pendekatan metode volume hingga (Abidin et al, 2015;Bahatmaka et al, 2016Bahatmaka et al, , 2017Muljowidodo et al, 2009;Pan et al, 2019;Rahman, 2016;Versteeg & Malalasekera, 2007). Adapun flowchart metode penelitian dapat dilihat pada Gambar 1.…”

Section: Metodologi Penelitianunclassified

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Investigasi Aliran Pada Thruster Rov (Remotely Operated Vehicle) Menggunakan Metode CFD

Raynaldo

Darmawan

Halim

2021

JMSTKIK

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Remotely Operated Vehicle (ROV) is an underwater robot that designed by UNTAR Robotics Team and has been competed in Singapore Robotics Games (SRG) 2020. Evaluation that conducted from the competition is the need of optimization in thrust and maneuverability so it can move more flexible and stable. Based on the problem, investigation of thruster’s configuration by adding kort nozzle to existing propeller is implemented to increase thrust and performance. Consideration in using open water characteristics for analysis is elaborated in this investigation. The existing propeller has 3-blade with 35 mm diameter; 1,4 pitch diameter ratio; and 0,511 expanded blade area ratio which is used as thruster of ROV 2020. It utilizes CFD approach in ANSYS CFX 2020 R1 software with moving reference frame (MRF) method. Meanwhile, general mesh or unstructured mesh arrangements is used as computational mesh with 165.201 nodes. The MRF implements frozen rotor concept as frame change/mixing to observe fluid flow. The CFD with shear stress transport (SST) k-omega model is conducted. The simulation is done at 300 rpm and J = 0,473 for ROV’s operating condition. The result shows that thruster equipped by kort nozzle is able to increase the thrust for 2,253% and reduce the propeller required torque for 6,633%. Furthermore, the configuration can also reduce wake phenomenon as result of rotating propeller which represents better maneuver chance. Keywords: ROV, kort nozzle, open water characteristics, CFD, performanceAbstrakRemotely Operated Vehicle (ROV) merupakan sebuah underwater robot yang didesain oleh Tim Robotik UNTAR dan telah berkompetisi dalam Singapore Robotics Games (SRG) 2020. Evaluasi yang dilakukan terhadap hasil kompetisi tersebut adalah terdapat kebutuhan untuk melakukan optimasi dalam thrust dan kemampuan bermanuver sehingga ROV dapat bergerak lebih fleksibel dan stabil. Berdasarkan permasalahan tersebut, investigasi pada konfigurasi thruster dengan penambahan kort nozzle terhadap existing propeller diimplementasikan untuk meningkatkan thrust dan unjuk kerja. Pertimbangan dalam penggunaan open water characteristics sebagai dasar analisis diuraikan dalam investigasi ini. Existing propeller memiliki 3 buah blade dengan diameter 35 mm; pitch diameter ratio sebesar 1,4; dan expanded blade area ratio sebesar 0,511 yang mana digunakan sebagai thruster ROV 2020. Investigasi tersebut menggunakan pendekatan CFD dalam software ANSYS CFX 2020 R1 dengan metode moving reference frame (MRF). Sementara itu, computational mesh menggunakan jenis general mesh atau unstructured mesh arrangements dengan total 165.201 nodes. MRF mengimplementasikan konsep frozen rotor sebagai frame change/mixing untuk mengamati aliran fluida. CFD dilakukan dengan menggunakan model shear stress transport (SST) k-omega. Simulasi tersebut dilakukan pada 300 rpm dan J = 0,473 sebagai operating condition ROV. Hasil simulasi menunjukkan bahwa thruster yang dilengkapi kort nozzle mampu meningkatkan thrust sebesar 2,253% dan mengurangi torsi yang dibutuhkan propeller sebesar 6,633%. Lebih lanjut, konfigurasi ini juga dapat mengurangi fenomena wake sebagai akibat dari putaran propeller yang mana merepresentasikan peluang manuver yang lebih baik.

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Section: Pendahuluanunclassified

Section: Metodologi Penelitianunclassified

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Investigasi Aliran Pada Thruster Rov (Remotely Operated Vehicle) Menggunakan Metode CFD

Raynaldo

Darmawan

Halim

2021

JMSTKIK

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“…AUV is suitable to perform a variety of underwater missions autonomously [1][2][3][4][5][6][7]. However, a docking station where the AUV can recharge the battery, transfer data, and do safe parking is needed due to the limited battery duration of AUVs.…”

Section: Introductionmentioning

confidence: 99%

On the Position Determination of Docking Station for AUVs Using Optical Sensor and Neural Network

Nhat

Choi

et al. 2020

Int. j. eng. technol. innov.

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Detecting the relative position of the docking station is a very important issue for the homing of AUVs (Autonomous Unmanned Vehicles). To detect the position of the light source, a pinhole camera model structure was proposed like the camera model. However, due to the sensor resolution and the distortion errors of the pinhole camera system, the application of the camera of docking the under turbid sea environments is almost impossible. In this paper, a new method detecting the position of the docking station using a light source is presented. Also, a newly developed optical sensor which makes it much easier to sense the light source than the camera system for homing of the AUV under the water is performed. In addition, to improve the system, a neural network (NN) algorithm constructing a model relating the light inputs and optical sensor which are developed in this study is proposed. To evaluate the performance of the NN algorithm, the experiments were performed in the air beforehand. The result shows that the NN algorithm with AUV docking system using the NN model is better than the pinhole camera model.

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“…In particular, variation of the UC forces and moments at the tow points and the configuration of the UC in the water are investigated. , oceanography, military use, and in the oil and gas industry, and the autonomy of such vehicles is increasing rapidly [1][2][3][4][5]. A basic and highly applicable task for such marine vessels, both surface and underwater, is to follow a general path to perform some mission.The major mission of an underwater vehicle system is to collect information from the underwater environment and send it back to the control center via sensors, for which reliable data transmission is required.…”

mentioning

confidence: 99%

Study on Dynamic Behavior of Unmanned Surface Vehicle-Linked Unmanned Underwater Vehicle System for Underwater Exploration

Van

Phuc

et al. 2020

Sensors

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This paper focuses on motion analysis of a coupled unmanned surface vehicle (USV)-umbilical cable (UC)-unmanned underwater vehicle (UUV) system to investigate the interaction behavior between the vehicles and the UC in the ocean environment. For this, a new dynamic modeling method for investigating a multi-body dynamics system of this coupling system is employed. Firstly, the structure and hardware composition of the proposed system are presented. The USV and UUV are modeled as rigid-body vehicles, and the flexible UC is discretized using the catenary equation. In order to solve the nonlinear coupled dynamics of the vehicles and flexible UC, the fourth-order Runge-Kutta numerical method is implemented. In modeling the flexible UC dynamics, the shooting method is applied to solve a two-point boundary value problem of the catenary equation. The interaction between the UC and the USV-UUV system is investigated through numerical simulations in the time domain. Through the computer simulation, the behavior of the coupled USV-UC-UUV system is analyzed for three situations which can occur. In particular, variation of the UC forces and moments at the tow points and the configuration of the UC in the water are investigated. , oceanography, military use, and in the oil and gas industry, and the autonomy of such vehicles is increasing rapidly [1][2][3][4][5]. A basic and highly applicable task for such marine vessels, both surface and underwater, is to follow a general path to perform some mission.The major mission of an underwater vehicle system is to collect information from the underwater environment and send it back to the control center via sensors, for which reliable data transmission is required. Currently, the reliability of sensors is one of the most important challenges for worldwide research and is a new research trend in many application areas. Castaño et al. [6] mentioned that the reliability of sensors and remote sensing systems is a key enabling step toward the massive utilization of sensor networks in all application fields from manufacturing up to maritime and aeronautic applications. Many methods with different properties and considerations for sensor system reliability such as Bayesian approaches, fuzzy set theory, Dempster-Shafer evidence theory, and gray group decision-making were recently studied to address the reliability of sensors using artificial intelligence. However, with the current technology available, underwater communication is an important challenge in the field. Generally speaking, acoustic wave, blue light, and tether cable are three main kinds of approaches applied for underwater communication. In particular, in order to have a real-time and reliable underwater communication over such a distance, using a tether cable could be a better solution for the real-time surveillance mission of an autonomous underwater vehicle (AUV) [7][8][9]. However, the motion of a long flexible cable in water is very complex, in addition to the non-linear dynamic motion of the unmanned surface vehicle (USV) an...

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Optimization of thrust propeller design for an ROV (Remotely Operated Vehicle) consideration by Genetic Algorithms

Cited by 9 publications

References 1 publication

Investigasi Aliran Pada Thruster Rov (Remotely Operated Vehicle) Menggunakan Metode CFD

Investigasi Aliran Pada Thruster Rov (Remotely Operated Vehicle) Menggunakan Metode CFD

On the Position Determination of Docking Station for AUVs Using Optical Sensor and Neural Network

Study on Dynamic Behavior of Unmanned Surface Vehicle-Linked Unmanned Underwater Vehicle System for Underwater Exploration

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