Keywords : computational fluid dynamics


Hydrodynamic Energy Devices to Improve the Efficiency of Propulsion System in AUVs

Muniyandy Elangovan

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 11, Pages 18-22
DOI: 10.47392/irjash.2020.214

Usually, most of the AUV has the propeller and it is placed in a suitable position for maneuvering in the required direction. For single propeller AUVs, propeller is placed at the aft, and direction is controlled using wings that are placed aft. Energy is a major part of an underwater operation to decide the duration of underwater operation. To increase the duration of the battery, either the energy consumption can be reduced or the efficiency of the propulsion system needs to be improved. Here the possible opportunities to improve the propulsion system using hydrodynamic energy devices are discussed. Though many options are available, based on space availability & speed, a suitable combination of devices can be added. It is recommended to carry out CFD analysis to make sure that proposed devices can bring improvement in the propulsion system before it is implemented.

A Study on the effect of fairing designs of Go Kart on its performance using CFD analysis

Ezhil Ruban.L; Infento Varun Kennet Thomas; Leonard Maria Dicson .V; Deugul B.S; Mahil H.M

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 9, Pages 21-29
DOI: 10.47392/irjash.2020.142

The primary purpose of the study focuses on the aerodynamic performance of Go Kart with optimized fairing designs using Computational fluid dynamics (CFD). CFD is a modelling technique for fluids which utilizes iterative methods to solve continuity and momentum equations as well as any other auxiliary equations depending upon the type of application. The computational simulations are carried out assuming the steady state viscous fluid flow using Reynolds-averaged-Navier-Stokes (RANS) equations and the standard shear stress transport (SST) k-ω. This paper studies the effect of the modified fairing on the overall aerodynamic performance of the kart such as the amount of drag force and down force generated at different speeds as well the coefficient of drag of the entire kart model (Cd). Three models with different fairing designs were created using CAD software SOLIDWORKS 2018 and analyzed using ANSYS Fluent, the latter two models having optimized fairing designs. The aerodynamic behaviour of the three models Fairing 1, 1.1 & 1.2 is observed at 60 kmph and the simulated result indicates improved aerodynamic performance by both optimized fairings. Fairing 3 in particular exhibits nearly 48% decrease in drag force and a 10% decrease in Cd. This can offer a significantly better performance and reduced fuel consumption compared to the original design.