Optimal design of multi-layer thermal protection of variable thickness
International Journal of Numerical Methods for Heat & Fluid Flow
ISSN: 0961-5539
Article publication date: 2 May 2017
Abstract
Purpose
The presented paper aims to consider algorithm for optimal design of multilayer thermal insulation.
Design/methodology/approach
Developed algorithm is based on a sequential quadratic programming method.
Findings
2D mathematical model of heat transfer in thermal protection was considered in frame of thermal design of spacecraft. The sensitivity functions were used to estimate the Jacobean of the object functions.
Research limitations/implications
Design of distributed parameter systems and shape optimization may be thought of as geometrical inverse problems, in which the positions of free boundaries are determined along with the spatial variables. In such problems, the missing data (i.e. the position of boundaries) are compensated for by the presence of the so-called inverse problem additional conditions. In the case under consideration, such conditions are constrains on the temperature values at the discrete points of the system.
Practical implications
Results are presented how to apply the algorithm suggested for solving a practical problem – thickness sampling for a thermal protection system of advanced solar probe.
Originality/value
The procedure proposed in the paper to solve a design problem is based on the method of quadratic approximation of the initial problem statement as a Lagrange formulation. This has allowed to construct a rather universal algorithm applicable without modification for solving a wide range of thermal design problems.
Keywords
Acknowledgements
This work was supported by the Russian Ministry of Science and Education in the frame of the BasicPart of financial support (#834).
Citation
Nenarokomov, A.V., Salosina, M.O. and Alifanov, O.M. (2017), "Optimal design of multi-layer thermal protection of variable thickness", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 27 No. 5, pp. 1040-1055. https://doi.org/10.1108/HFF-03-2016-0112
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited