2009
DOI: 10.1243/09544100jaero541
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Modelling, simulation, and experimental evaluation of a crossflow heat exchanger for an aircraft environmental control system

Abstract: Crossflow heat exchangers play a significant role in the operation of an aircraft's environmental control system (ECS). The bleed air supplied by an aircraft engine, at high pressure and high temperature, requires regulation and control in order to be used for various pneumatic services. In the present investigation, the transient temperature response of crossflow plate-and-fin ECS heat exchangers, having a large core capacity with both fluids unmixed, is investigated numerically and experimentally for perturb… Show more

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Cited by 6 publications
(3 citation statements)
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“…A few studies have focused on the fault diagnosis of the AECS in this regard. 6,7 The need for further study on this area arises due to the fact that despite numerous efforts by various research groups to model cabin pressure regulation system, there is lack of systematic model in open literature that can suit different cabin pressurization profiles. The present work is, thus focused on the study of CPCS through computational simulation of its steady-state and dynamic responses.…”
Section: Pressurization Issuesmentioning
confidence: 99%
“…A few studies have focused on the fault diagnosis of the AECS in this regard. 6,7 The need for further study on this area arises due to the fact that despite numerous efforts by various research groups to model cabin pressure regulation system, there is lack of systematic model in open literature that can suit different cabin pressurization profiles. The present work is, thus focused on the study of CPCS through computational simulation of its steady-state and dynamic responses.…”
Section: Pressurization Issuesmentioning
confidence: 99%
“…To verify the robustness of the proposed ATPE technique, a Monte Carlo simulation is conducted in this section. First, 10 uniformly distributed random numbers were generated within the range of [=100,=50] as the frequency of the system input for each cycle and 10 uniformly distributed random numbers within the range of [5,20] were also simulated as the amplitude of the system input for each cycle. Thus, the system input is a random instruction signal composed of different frequencies and amplitudes.…”
Section: Robustness Verification Of Atpementioning
confidence: 99%
“…Few studies have focused on the fault diagnosis of the AECS, and even fewer have focused on control components in this regard. 2,5 The lack of an effective and systematic fault diagnosis method for the control components in the AECS is inconsistent with the rapid developments being made in fault diagnosis techniques and the increasing complexity of the AECS. [6][7][8] A fault diagnosis model based on observations of the aircraft temperature control system has been proposed; 4 however, in this study, a suitable threshold was not set for fault detection, and fault diagnosis based on a single residual error is not sufficiently reliable.…”
Section: Introductionmentioning
confidence: 99%