Combining CFD, ASE, and HEKF approaches to derive all of the hydrodynamic coefficients of an axisymmetric AUV

Rasekh, Mohamad; Mahdi, Miralam

doi:10.1177/14750902211034361

Cited by 4 publications

(4 citation statements)

References 45 publications

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“…Numerical simulation was conducted using the commercial CFD software, STAR-CCM+ 13.02, which employs the incompressible unsteady Reynolds-averaged Navier-…”

Section: Cfd Methodsmentioning

confidence: 99%

“…To estimate the nominal hydrodynamic coefficients of the AUV, Sajedi and Bozorg [12] employed both the robust extended Kalman filter (REKF) and the extended H-infinity (EH∞) filter. Rasekh and Mahdi [13] employed a comprehensive approach combining the nonlinear hybrid extended Kalman filter (HEKF) observer, analytical and semi-empirical (ASE) formulas, as well as computational fluid dynamics (CFD) simulations. This combined method allowed for the estimation of all the hydrodynamic coefficients associated with a REMUS AUV.…”

Section: Introductionmentioning

confidence: 99%

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Identification of Hydrodynamic Coefficients of the SUBOFF Submarine Using the Bayesian Ridge Regression Model

Xiang,

Ou,

Chen

et al. 2023

Applied Sciences

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Maneuverability is one of the submarine’s most important features, and is closely related to hydrodynamic coefficients. The submarine standard motion equation is the most commonly used hydrodynamic mathematical model, estimating more than 100 hydrodynamic coefficients. This paper applies the Bayesian ridge regression model to identify a submarine’s hydrodynamic coefficients. Specifically, the proposed approach combines the URANS equation with a six-degree-of-freedom motion model and a body force propeller model, and uses overset grid technology to simulate the underwater six-degree-of-freedom navigation motion of the SUBOFF submarine. The submarine’s required hydrodynamic coefficients are obtained by collecting relevant velocity and angular velocity data and applying the Bayesian ridge regression model for data identification. Meanwhile, CFD simulation of the restraint model test for the SUBOFF submarine is conducted to obtain the related hydrodynamic coefficients. Through comparative experiments, we validate that the proposed Bayesian ridge regression model identification method is effective and reliable; most of the errors in the hydrodynamic coefficients were within 10%, with a maximum error of −43.26%, providing more comprehensive and timely hydrodynamic coefficients than traditional CFD restraint model tests. Furthermore, the hydrodynamic coefficient identification results were used to invert the submarine’s spatial motion, and we demonstrated that the resulting trajectory, velocity, and angular velocity curves all fit well.

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“…Numerical simulation was conducted using the commercial CFD software, STAR-CCM+ 13.02, which employs the incompressible unsteady Reynolds-averaged Navier-…”

Section: Cfd Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of Hydrodynamic Coefficients of the SUBOFF Submarine Using the Bayesian Ridge Regression Model

Xiang,

Ou,

Chen

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

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“…This simulation uses the Euler Lagran-ge model (K-E model) to numerically simulate the discrete phase, and simulates the movement of the discrete phase by tracking the trajectory of particles. Mass conservation equation [2][3] :…”

Section: Mathematical Modelmentioning

confidence: 99%

Study on flow characteristics of fine particulate matter under different air supply parameters

Dong¹,

Guo²,

Cai³

2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

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The finite element software FLUENT was used to study and analyze the flow characteristics of indoor particle concentration distribution in upper air supply buildings under different air supply parameters. Physical model and finite element model were established to calculate the concentration distribution of particulate matter, and to find the best air supply parameters and working conditions, so as to improve indoor air quality and comfort. Through the simulation calculation of indoor air flow field distribution and concentration distribution of fine particles under different working conditions, the optimal air supply parameters are obtained, that is, the temperature of the air supply outlet is 20℃, and the air supply velocity of the air supply outlet is 3m/s. The simulation calculation results in this paper provide certain design basis for determining the optimal air supply parameters in the subsequent reengineering.

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“…10 There are a significant number of applications for CFD simulation of ventilation systems, including optimising the ventilation method for a subway station by inspecting the velocity and temperature field, 11 windinduced ventilation in apartments, 12 natural ventilation in buildings, 13 or the airflow field and aerosol pollutant dispersal in aircraft cabins. 14 There are also plenty of applications for CFD simulation in maritime fields, such as computing drag, lift and fin coefficients, 15,16 investigating internal wave propagation, 17 predicting wave resistance 18 and estimating interference effects on resistance component interaction of catamarans. 19 Numerical modelling of the ship's engine room is a productive instrument for investigating and enhancing the ship's ventilation system.…”

Section: Introductionmentioning

confidence: 99%

Modelling heat transfer and fluid flow in a ship engine room using CFD analysis to evaluate and improve ventilation

Salmani

Hosseini

Khani

2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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Considering that about 90% of international trade is transported via sea and ship ventilation systems consume between 3.5% and 5.5% of the ship’s rated power, ship energy consumption is of particular interest and modelling and enhancing ventilation systems are vital to reducing and optimising energy consumption. Using Computational Fluid Dynamics (CFD) simulation, modelling heat transfer and airflow patterns helped us improve the ventilation system and temperature distribution, provide thermal comfort for staff and equipment, and increase energy efficiency. We discussed the radiation effect in CFD analysis; it affected wall temperatures significantly and temperature contours to some extent; it raised air temperatures by 3 K and wall temperatures by 14 K in some areas; this issue has not been considered in previous analyses. Considering seven different engine room configurations, we analysed temperature distribution, air terminal streamlines and other parameters to choose the best. We examined four energy-saving plans for the best configuration, and airflow was reduced by 13.8% and fan power by 36% based on the temperature distribution. By improving the engine room ventilation system, average engine room temperature, heat removal efficiency, combustion air temperature, and temperature distribution developed. The analysis of air terminals included assessing their streamlines, determining areas they circulated, and customising their airflow; in addition to vertical and horizontal air terminals at the top or bottom of the engine room, we also examined a separate air terminal for engine combustion air, this tool has been used very little before.

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Combining CFD, ASE, and HEKF approaches to derive all of the hydrodynamic coefficients of an axisymmetric AUV

Cited by 4 publications

References 45 publications

Identification of Hydrodynamic Coefficients of the SUBOFF Submarine Using the Bayesian Ridge Regression Model

Identification of Hydrodynamic Coefficients of the SUBOFF Submarine Using the Bayesian Ridge Regression Model

Study on flow characteristics of fine particulate matter under different air supply parameters

Modelling heat transfer and fluid flow in a ship engine room using CFD analysis to evaluate and improve ventilation

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