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Power Thermal Management System Design for Enhanced Performance in an Aircraft Vehicle
Technical Paper
2010-01-1805
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
Power Systems Conference
Language:
English
Abstract
The thermal management of modern aircraft has become more challenging as aircraft capabilities have increased. The use of thermally resistant composite skins and the desire for low observability, reduced ram inlet size and number, have reduced the ability to transfer heat generated by the aircraft to the environment. As the ability to remove heat from modern aircraft has decreased, the heat loads associated with the aircraft have increased. Early in the aircraft design cycle uncertainty exists in both aircraft requirements and simulation predictions. In order to mitigate the uncertainty, it is advantageous to design thermal management systems that are insensitive to design cycle uncertainty. The risk associated with design uncertainty can be reduced through robust optimization. In the robust optimization of the thermal management system, three noise factors were selected: 1) engine fan air temperature, 2) avionics thermal load, and 3) engine thrust. The three controllable factors selected for the robust optimization were: 1) compressor pressure ratio, 2) return fuel heat exchanger (RFHX) area, and 3) recuperator heat exchanger (RHX) area. The robust optimization of the thermal management system identified the engine fan air temperature and the avionics thermal load as the dominant noise factors. The worst case noise factor combination resulted in a 258% increase in return fuel heat load. The robust optimization identified the compressor ratio as the dominant control factor followed by the RFHX area. The optimization of the controllable factors resulted in a 51% reduction in the mean return fuel heat load and a 63% reduction in return fuel heat load variance. The risk associated with design cycle uncertainty can be minimized through the employment of the robust optimization methodology.
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Authors
Citation
Bodie, M., "Power Thermal Management System Design for Enhanced Performance in an Aircraft Vehicle," SAE Technical Paper 2010-01-1805, 2010, https://doi.org/10.4271/2010-01-1805.Also In
References
- Bodie, M. Russell, G. McCarthy, K. Lucus, E. Zumberge, J. Wolff, Mitch Thermal Analysis of an Integrated Aircraft Model AIAA Paper 2010-288, 48th AIAA Aerospace Science Meeting Orlando, Florida January 4-7 2010
- Taguchi, G. Quality Engineering through Design Optimization Kraus International Publications New York 1986
- Taguchi, G. Systems of Experimental Design 1 and 2 Kraus International Publications New York 1987
- Box, G. Bisgaard, S. Fung, C. An Explanation and Critique of Taguchi's Contributions to Quality Engineering Quality and Reliability Engineering International 4 123 131 1988
- Box, G. Signal to Noise Ratios, Performance Criteria, and Transformations Technometrics 30 1 1 16 1988
- Nair, V. N. Testing in Industrial Experiments with Ordered Categorical Data Technometrics 28 283 291 1986
- Welch, W. Yu, T. Kang, S. Wu, J. Computer Experiments for quality Control by Parameter Design Quality Technology 22 15 22 1990
- Lucas, J. How to Achieve a Robust Process Using Response Surface Methodology Journal of Quality Technology 26 4 248 260 1994
- Chen, W. Allen, J. Tsui, K. Mistree, F. A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors ASME Journal of Mechanical Design 118 478 485 1996
- Chen, W. Messac, A. Sahai, A. Sundararaj, G. Exploration of the Effectiveness of Physical Programming in Robust Design J Mech Design 122 155 163 2000
- Bowman, V. On the Relationship of the Tchebycheff Norm and the Efficient Frontier of Multiple-Criteria Objectives Lecture Notes in Economics and Mathematical Systems 135 75 85 1976
- Messac, A. Ismail-Yahaya, A. Multi-Objective Robust Design using Physical Programming Struct Multidisciplin Optimiz 2002 23 5 357 371 2002
- McCarthy, K. Walters, E. Heltzel, A. et.al. “Dynamic Thermal Management System Modeling of a More Electric Aircraft,” 2008SAEPower Systems Conference Bellevue, WA November 11-13 2008
- Montgomery, D. Introduction to Statistical Quality Control John Wiley & Sons, Inc. 2005
- Box, G. Draper, N. Empirical Model-Building and Response Surfaces John Wiley & Sons, Inc. 1987
- Montgomery, D. Design and Analysis of Experiments John Wiley & Sons, Inc. 2009
- Montgomery, D. Peck, E. Vining, G. Introduction to Linear Regression Analysis John Wiley & Sons, Inc. 2006