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1D analytic and numerical analysis of multilayer laminates and thin film heat transfer gauges

Abstract:
The impulse response method is widely used for heat transfer analysis in turbomachinery applications. Traditionally, the 1D method assumes a linear time invariant, isotropic, semi-infinite block and does not accurately model the behaviour of laminated materials. This paper evaluates the error introduced by the single layer assumption and outlines the required modifications for multilayer analysis. The analytic solution for an N layer, semi-infinite laminate is presented. Adapted multilayer basis functions are derived for the impulse response method and used to evaluate the impact of uniform, isotropic assumptions. A numerical solution to the laminate problem is also presented. A penta-diagonal inversion algorithm, for a modified Crank-Nicolson scheme, is evaluated for fast stable implementation of multilayer simulation. The scheme shows comparable performance to the impulse response, whilst removing the requirement for linear time invariance. The methods are demonstrated in the case of analysing a thin film gauge, used in laboratory analysis of heat transfer in a turbine nozzle guide vane. Thin film gauge manufacturing techniques have advanced significantly in recent years. Advanced multilayer constructions are now used however, post-processing commonly relies on outdated single layer methods. This paper provides a universal methodology, required to analyse modern-day multilayer heat transfer measurements.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.33737/jgpps/151660

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Anne's College
Role:
Author
ORCID:
0000-0002-2265-5134


Publisher:
Global Power and Propulsion Society
Journal:
Journal of the Global Power and Propulsion Society More from this journal
Volume:
6
Pages:
238-253
Publication date:
2022-09-01
Acceptance date:
2022-06-28
DOI:
EISSN:
2515-3080


Language:
English
Keywords:
Pubs id:
1324932
Local pid:
pubs:1324932
Deposit date:
2024-02-19
ARK identifier:

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