A Design of Experiments (DoE) analysis was undertaken to generate a list of configurations for CFD numerical simulation of an aircraft crown compartment. Fitted regression models were built to predict the convective heat transfer coefficients of thermally sensitive dissipating elements located inside this compartment. These are namely the SEPDC and the Route G. Currently they are positioned close to the fuselage and it is of interest to optimise the heat transfer for reliability and performance purposes. Their locations and the external fuselage surface temperature were selected as input variables for the DoE. The models fit the CFD data with R-2 values ranging from 0.878 to 0.978, and predict that the optimum locations in terms of heat transfer are when the elements are positioned as close to the crown floor as possible (S-y and R-y -> min. limits), where they come in direct contact with the air flow from the cabin ventilation system, and when they are positioned close to the centreline (S-x and R-x -> CL).The methodology employed allows aircraft thermal designers to optimise equipment placement in confined areas of an aircraft during the design phase. The determined models should be incorporated into global aircraft numerical models to improve accuracy and reduce model size and computational time. (C) 2012 Elsevier Masson SAS. All rights reserved.
Funding
A Paradigm Shift in Program Analysis and Transformation via Intersection and Union Types
Directorate for Computer & Information Science & Engineering
Aerospace Science and Technology;28 (1), pp. 391-400
Publisher
Elsevier
Note
peer-reviewed
Other Funding information
European Union (EU)
Rights
This is the author’s version of a work that was accepted for publication in Aerospace Science and Technology . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Aerospace Science and Technology Volume 28, Issue 1, July 2013, Pages 391-400 https://doi.org/10.1016/j.ast.2012.12.005