Predictions of The Thrust and Torque Performance For Two Propeller Blades Using Computational Fluid Dynamics

2005 ◽  
Author(s):  
K Randle ◽  
◽  
P W Bull ◽  
Author(s):  
Shin Hyung Rhee ◽  
Shitalkumar Joshi

Results of computational fluid dynamics validation for flow around a marine propeller are presented. Computations were performed for various advance ratios following experimental conditions. The objectives of the study are to propose and verify a hybrid mesh generation strategy, and to validate computational results against experimental data with advanced computational fluid dynamics tools. Computational results for both global and local flow quantities are discussed and compared with experimental data. The predicted thrust and torque are in good agreement with the measured values. The pressure distribution and pathlines on and around the blade surface well reproduce the physics of highly skewed marine propeller flow with tip vortex. The circumferentially averaged velocity components compare well with the measured values, while the velocity and turbulence quantities in the highly concentrated tip vortex region are under-predicted. The overall results suggest that the present approach is practicable for actual propeller design procedures.


2019 ◽  
Vol 2 (2) ◽  
pp. 185-193
Author(s):  
Nur Amira Adam ◽  
Ahmad Fitriadhy ◽  
W. S. Kong ◽  
Faisal Mahmuddin ◽  
C. J. Quah

A reliable prediction approach to obtain a sufficient thrust and torque to propel the ship at desired forward speed is obviously required. To achieve this objective, the authors propose to predict the thrust coefficient (KT), torque coefficient (KQ) and efficiency (η) of the propeller in open-water model test condition using Computational Fluid Dynamics (CFD) simulation approach. The computational simulation presented in the various number of rotational speed (RPM) within the range of advance ratio J=0.1 up to 1.05. The higher value of J lead to decrease 10KQ and KT. While the η increased steadily at the lower value of J and decreased at the higher value of J. The results also showed that the propeller with 1048 rpm obtain a better efficiency at J=0.95 with η= 88.25%, 10KQ=0.1654 and KT= 0.0942. The computation result is very useful as preliminary data for propeller performance characteristics.


Author(s):  
Seyyed Mostafa Seyyedi ◽  
Rouzbeh Shafaghat

The application of surface-piercing propeller (SPP) has been widely used in high-speed crafts due to possessing many favorable features. Due to the information gaps in the design of SPP, researchers have made great efforts to conduct hydrodynamic analysis of these propulsion systems. Despite the previous studies, there is still a considerable shortage in literature. In this article, a comprehensive review has been carried out on the experimental, theoretical, and experimental–theoretical studies in the field of SPP to introduce the strengths, limitations, and gaps in the previous research. The results of previous studies have also been presented in the form of benchmarking tables and statistical figures. Investigations have proved the inability of the numerical methods to simulate SPP. In recent years, the most precise methods of analyzing complex flows around SPP have been the computational fluid dynamics methods. The most suitable computational fluid dynamics method is the Reynolds-averaged Navier–Stokes method. Moreover, despite the heavy costs of experiments, the experimental approach is still the most reliable way of understanding the flow phenomena, studying the time-dependent dynamic behavior of propellers, and determining the hydrodynamic coefficients of thrust and torque. It can also serve to develop the numerical methods for comparing the results and reducing the errors of semi-experimental equations. Therefore, one of the primary objectives of future studies will be the comprehensive experimental analysis of various propeller blade profiles considering the effect of the variations of the trailing edge angle and the effects of the parameters influencing SPP, especially the shaft inclination angle.


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