Analysis of flow structure in a helicopter cabin to improve the thermal comfort using computational fluid dynamics modeling

Download

index.pdf

Date

2018

Author

Şahin, Doruk

Metadata

Show full item record

Item Usage Stats

275
views

141
downloads

Proper distribution of conditioned air inside the cabins of passenger transportation type aircrafts is crucial in terms of passengers’ comfort. Low air velocities may cause passengers to feel stuffy whereas high velocities may create disturbance. Moreover, satisfying uniform temperature distribution inside the cabin is also crucial for the passenger comfort. High temperature variation inside the cabin results in feeling of discomfort. In this thesis, computational fluid dynamics (CFD) models are developed using ANSYS FLUENT to investigate thermal comfort level of the passengers in a newly designed passenger transportation helicopter. The desired air velocities in the vicinity of the faces of passengers are determined by utilizing SAE ARP292, ASHRAE 161-2013 and ASHRAE 161-2007. Moreover, in addition to air velocity, effective distribution of the personalized air flow around the faces of passengers is also considered. On the other hand, SAE ARP292 is used to determine the temperature related comfort parameters. For the analyses, a turbulence model anticipated as suitable for cabin type flows is selected and the competence of its performance is confirmed by the experimental and numerical results available in the literature. The results reveal that the existing design of personalized air distribution system is inadequate for creating comfortable environment to passengers. For the purpose of enhancing thermal comfort of the passengers, an iterative procedure is followed to redesign personalized air distribution system by evaluating the results of numerical simulations in terms of thermal comfort levels. By the present thesis study, by redesigning personalized air inlets, adjusting their locations and proposing a flow rate ratio between personalized and main inlet flows, an improvement has been shown up in terms of thermal comfort levels of the passengers. The new design provides air velocities between the designated comfort range and effective distribution of the personalized air flow around the faces of passengers. Moreover, the temperature distribution inside the cabin becomes more uniform by the new design.

Subject Keywords

Helicopters., Air conditioning., Computational fluid dynamics.

URI

http://etd.lib.metu.edu.tr/upload/12622042/index.pdf
https://hdl.handle.net/11511/27251

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Analysis of flow structure in a helicopter cabin to improve the thermal comfort using cfd modeling Şahin, Doruk; Yavuz, Mehmet Metin (null; 2019-09-20) Proper distribution of conditioned air inside the cabins of passenger transportation type aircrafts is crucial in terms of passengers? comfort. In the present study, computational fluid dynamics (CFD) models are developed using ANSYS FLUENT to investigate the thermal comfort levels of the passengers in a newly designed passenger transportation helicopter. The results reveal that the performance of the existing personalized air distribution system of the helicopter is inadequate to provide a comfortable envi...
Navier-Stokes computations of helicopter rotor flow fields Yüksel, Ali Oğuz; Özyörük, Yusuf; Department of Aerospace Engineering (2017) Helicopters are widely used for military and civilian purposes because of their unique capability of maneuvering including vertical take-off and landing. A helicopter rotor provides this capability of motion with rotating wings. Aerodynamic forces on rotor blades generate the thrust and torque. Hence, it is significant to predict pressure distributions on rotor blades in hover, climbing, descending, and forward flight, for assessing the helicopter performance. Not only this but acoustic radiation from helic...
Assessment of psychosocial risk factors among air traffic controllers Altunok, Gizem; Demirel, Nuray; Department of Occupational Health and Safety (2019) Impeccable air traffic controlling is of vital importance for air traffic management and aviation safety. Air traffic controllers, who provide advisory services to the aircraft in airspace and on the ground, usually face high level of psychological risk factors due to essence of the work. Although psychosocial risk factors among air traffic controllers have been investigated since air traffic control services were born by the first decade of the twentieth century, there is still need for further studies in ...
Design of an LPV Based Fractional Controller for the Vibration Suppression of a Smart Beam Onat, Cem; Şahin, Melin; Yaman, Yavuz; Eswar, Prasad; Saılu, Nemana (2011-12-01) One of the major problems encountered in the active vibration control of aircraft wings is the changing mass due to the in-flight fuel consumption. In this study, a Linear Parameter Varying (LPV) based fractional controller is designed for the suppression of the flexural vibrations of a smart beam. The designed controller is sensitive to the varying mass properties. The smart beam studied was a cantilever aluminium beam with eight surface bonded Lead-Zirconate-Titanate (PZT) patches. The smart beam was exci...
Parametric investigation of hull shaped fuselage for amphibious UAV Sazak, Emre; Kurtuluş, Dilek Funda; Department of Aerospace Engineering (2017) Performance of amphibious unmanned aerial vehicles (UAV’s) that take off from and land on water, like seaplanes, greatly depend on hydrodynamic effects as well as aerodynamic effects, therefore their geometries need to be optimized for both. This study mainly investigates the effect of geometric parameters of a generic, hull-shaped fuselage that are constrained by hydrodynamic drivers, such as the step height needed to reduce hydrodynamic drag, sternpost angle and deadrise angle needed for safe landing; on ...

Citation Formats

D. Şahin, “Analysis of flow structure in a helicopter cabin to improve the thermal comfort using computational fluid dynamics modeling,” M.S. - Master of Science, Middle East Technical University, 2018.