2014
DOI: 10.1063/1.4901309
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Explicit approximations to estimate the perturbative diffusivity in the presence of convectivity and damping. I. Semi-infinite slab approximations

Abstract: In this paper, a number of new approximations are introduced to estimate the perturbative diusivity (χ), convectivity (V), and damping (τ) in cylindrical geometry. For this purpose the harmonic components of heat waves induced by localized deposition of modulated power are used. The approximations are based on semi-innite slab approximations of the heat equation. The main result is the approximation of χ under the inuence of V and τ based on the phase of two harmonics making the estimate less sensitive to cali… Show more

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Cited by 17 publications
(30 citation statements)
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“…However, a number of assumptions are necessary to derive direct expressions for v, which are standard in the literature. 2,4 These assumptions simplify (1) such that analytic solutions can be derived for (1). Only measurements are considered for which the transients due to the initial condition can be neglected.…”
Section: A Perturbative Transport Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…However, a number of assumptions are necessary to derive direct expressions for v, which are standard in the literature. 2,4 These assumptions simplify (1) such that analytic solutions can be derived for (1). Only measurements are considered for which the transients due to the initial condition can be neglected.…”
Section: A Perturbative Transport Analysismentioning
confidence: 99%
“…Here, it is additionally assumed that the density n is constant with respect to q. Under these assumptions, (1) can be transformed into the Laplace domain yielding 3 2 s þ s inv ð ÞH q;s ð Þ ¼ 1 q d dq qv @H q;s ð Þ @q þ qVH q;s ð Þ…”
Section: A Perturbative Transport Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The long term goal is to match the estimated values of G (1) and G (2) , which we estimate here, to those derived from physics. To make it more concrete G (1) is simply the transfer function, which is specifically defined for various transport models as is explained [43]. However, as at this stage it is unclear what the underlying physics are we will not try to match G (1) and G (2) against simulations here, but will focus on their estimation from measurement data and derive conclusions from calculations using the general Volterra series.…”
Section: Volterra Seriesmentioning
confidence: 99%
“…The Volterra kernel G (1) equals the linear transport in terms of a transfer function as defined in [43]. Hence, this kernel G (1) is frequency dependent and represents the best true linearized dynamics whereas G (2) acts as a non-linear error on this measurement.…”
Section: Calculation Linear Contributionmentioning
confidence: 99%