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

Author:

Baker Mark1,Rosic Budimir1

Affiliation:

1. Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK

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 Advanced multilayer constructions are now used however, post-processing commonly relies on outdated single layer methods.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.

Publisher

Global Power and Propulsion Society

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering

Reference21 articles.

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5. An efficient implementation of the thomas-algorithm for block penta-diagonal systems on vector computers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4487, pp. 144–151;Benkert K.,2007

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