Use of Computational Fluid Dynamics to Model Free-Surface Effects on Hydrofoil Systems

2015 ◽  
Author(s):  
Joshua P. Sykes ◽  
Katelynne R. Burell ◽  
Zhaohui Qin ◽  
Timothy B. Dewhurst

Cedarville University competes annually in the Solar Splash competition, which involves teams of undergraduate students designing and racing boats powered by batteries and solar energy. In past years team members have used several analysis tools to estimate the drag and lift generated by both the hull of the boat or prospective hydrofoil systems. In 2014 Putnam, Dickert, and Wagner used ANSYS’s computational fluid dynamics (CFD)software, Fluent, to estimate the lift and drag of hydrofoils in a single-phase water flow. Their design used the standard “T-junction” design seen in Figure 1. In 2014 (the next team iteration) Howland used the same software to analyze the drag on an existing hull design while using a 2-phase water-and-air flow.

2015 ◽  
Vol 137 (7) ◽  
Author(s):  
Georgios N. Lygidakis ◽  
Ioannis K. Nikolos

A recently developed academic computational fluid dynamics (CFD) code, named Galatea, is used for the computational study of fully turbulent flow over the NASA common research model (CRM) in a wing-body configuration with and without horizontal tail. A brief description of code's methodology is included, while attention is mainly directed toward the accurate and efficient prediction of pressure distribution on wings' surfaces as well as of computation of lift and drag forces against different angles of attack, using an h-refinement approach and a parallel agglomeration multigrid scheme. The obtained numerical results compare close with both the experimental wind tunnel data and those of reference solvers.


2018 ◽  
Vol 177 ◽  
pp. 01024
Author(s):  
Ketut Suastika ◽  
Putri Virliani ◽  
D. Aryawan Wasis

The purpose of the present study is to investigate submarine rudder stern-plane configuration to obtain optimum manoeuvring characteristics. Three configurations are investigated: +, x and y configuration. The equations of motions were derived with the external forces and moments consist of contributions due to the hydrostatics, hydrodynamics and propeller thrust. To obtain the hydrodynamic coefficients and the hydrodynamic derivatives, the lift and drag were calculated using computational fluid dynamics (CFD). The equations of motions were numerically integrated using Eulerian method to obtain the turning circle. Results of the calculations show that the x-configuration gives the smallest tactical diameter, transfer and advance, which is considered as the most optimum rudder stern-plane configuration.


2012 ◽  
Vol 165 ◽  
pp. 43-47 ◽  
Author(s):  
A.R. Norwazan ◽  
A.J. Khalid ◽  
A.K. Zulkiffli ◽  
O. Nadia ◽  
M.N. Fuad

Nowadays, the spoiler is fitted at the rear car to make the car looks sporty without taking any consideration to its shape and aerodynamic. This paper carried out other benefits of the rear spoiler respective to the engineering point of view. These study concerns about drag and lift forces were produced by spoiler using wind tunnel test and simulation computational fluid dynamics (CFD) analysis. The main objective of this project is to compare the performances between the two methods in order to determine the aerodynamics performance of three different types of spoiler. The results of CLand CDhave been determined and compared for all the three spoilers including the baseline model as a reference. The result shows that the comparisons of all models have different value of CLand CDbut the model of spoiler 3 is more than 5%.


1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.


2021 ◽  
Vol 54 ◽  
pp. 102207
Author(s):  
Cristian Inostroza ◽  
Alessandro Solimeno ◽  
Joan García ◽  
José M. Fernández-Sevilla ◽  
F. Gabriel Acién

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