Computational investigation of rotorcraft avionics bay cooling system

Download

index.pdf

Date

2019

Author

Akın, Altuğ

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

475
views

204
downloads

Computational investigation of a rotorcraft avionics bay cooling system is performed. Within the introduced system, the ambient air is supplied to the avionics-bay by a fan and exhausted back into the ambient after cooling the equipment inside. Depending on the fan and exhaust locations, hot zones may form around some of the equipment. The fan must provide a sufficiently high mass flow rate to keep the temperatures of the avionics equipment below the limits, while avoiding excessive amount of cooling to reduce power consumption. In this study, the effects of the fan and exhaust locations on the required mass flow rate are investigated. Prediction functions with Gaussian Process Regression and Artificial Neural Network methods are built to predict avionics surface temperatures using the results from a series of Computational Fluid Dynamics (CFD) analyses. The first method is selected over the latter as it yields more accurate results. The selected prediction function is used in conjunction with an optimization algorithm to determine the optimum fan and exhaust locations that minimize the required mass flow rate. It is found out that the required mass flow rate significantly depends on the fan location, while, the exhaust location has a relatively lessened effect. The required mass flow rate could be reduced to around half of its value with an even more significant reduction in power consumption. Additionally, the CFD analysis for the optimum fan and exhaust locations are repeated with different turbulence models to evaluate the effect of the selected model on the results.

Subject Keywords

Rotors, Keywords: Avionics Cooling, Design of Experiment, Computational Fluid Dynamics, Optimization, Gaussian Process Regression, Artificial Neural Networks, Turbulence Model.

URI

http://etd.lib.metu.edu.tr/upload/12624314/index.pdf
https://hdl.handle.net/11511/44150

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Use of artificial neural network in rotorcraft cooling system Akin, Altug; Kahveci, Harika Senem (2019-07-01) In this study, an Artificial Neural Network (ANN) is used to determine the surface temperatures of the avionics equipment located in an avionics bay of a rotorcraft. The bay is cooled via a system of a fan that supplies ambient air to the interior of the bay and an exhaust. A Feedforward Multi-Layer ANN is used with the input parameters of the fan and exhaust locations and the air mass flow rate of the fan. For training of the network, the results obtained by a large number of Computational Fluid Dynamics (...
Computational fluid dynamics simulations of ship airwake with a hovering helicopter rotor Orbay, Ezgi; Sezer Uzol, Nilay (2016-01-01) Computational Fluid Dynamic simulations of ship airwake are performed together with an actuator disk model for a rotor model hovering over the flight deck. The flow around Simple Frigate Shape 2 (SFS2) is computed in steady-state and unsteady conditions by solving RANS and hybrid RANS/LES equations. The unstructured grid is generated for the ship geometry. Also, an actuator disk is added into the model to investigate downwash effect of rotor on ship airwake and interaction of rotor and ship airwake.
An optimization study for rotorcraft avionics bay cooling Akin, Altug; Kahveci, Harika Senem (2019-07-01) In this paper, a computational investigation of a rotorcraft avionics-bay cooling system is carried out. The introduced avionics cooling system utilizes a forced-convection method in which the ambient air is supplied to the avionics bay by a fan and then exhausted back into the ambient after cooling the equipment inside. The aim of this system is to keep the air temperature in the vicinity of the avionics equipment below the operational temperature limits. Depending on the locations of the fan and exhaust, ...
Numerical simulation of wave-induced scour and backfilling processes beneath submarine pipelines Fuhrman, David R; Baykal, Cüneyt; Sumer, B Mutlu; Jacobsen, Niels G; Fredsoe, Jorgen (2014-12-01) A fully-coupled hydrodynamic/morphodynamic numerical model is presented and utilized for the simulation of wave-induced scour and backfilling processes beneath submarine pipelines. The model is based on solutions to Reynolds-averaged Navier-Stokes equations, coupled with k - omega turbulence closure, with additional bed and suspended load descriptions forming the basis for sea bed morphology. The morphological evolution is updated continuously, rather than being based e.g. on period- or other time-averaging...
Numerical simulation of scour at the rear side of a coastal revetment Şentürk, Barış Ufuk; Guler, Hasan Gokhan; Baykal, Cüneyt (2023-05-01) This paper presents the results of a numerical modeling study on the scouring of unprotected rear side material of a rubble mound coastal revetment due to the overtopping of solitary-like waves utilizing a coupled hydro-morphodynamic computational fluid dynamics (CFD) model. Three cases having various wave heights are tested with six different turbulence models together with different wall functions. The hydrodynamic results (free-surface elevations, overtopping volumes, and jet thicknesses) and morphologic...

Citation Formats

A. Akın, “Computational investigation of rotorcraft avionics bay cooling system,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Aerospace Engineering., Middle East Technical University, 2019.