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2 edition of TLM and inverse modelling in thermal diffusion problems. found in the catalog.

TLM and inverse modelling in thermal diffusion problems.

Anastasios Soulos

TLM and inverse modelling in thermal diffusion problems.

by Anastasios Soulos

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  • 16 Currently reading

Published by University of East Anglia in Norwich .
Written in English


Edition Notes

Thesis (M.Phil.), University of East Anglia, School of Information Systems, 1993.

ID Numbers
Open LibraryOL20717291M

The aim here is to understand heat transfer modelling, but the actual goal of most heat transfer (modelling) problems is to find the temperature field and heat fluxes in a material domain, given a previous knowledge of the subject (general partial differential equations, PDE), and a set of particular constraints: boundary. In this paper, we investigate numerical methods for a backward problem of the time-fractional wave equation in bounded domains. We propose two fractional filter regularization methods, which can be regarded as an extension of the classical Landweber iteration for the time-fractional wave backward problem. The idea is first to transform the ill-posed backward problem into a weighted normal.

Transmission line matrix in computational mechanics. TLM Diffusion Models as Binary Scattering Processes Mesh Decimation The Statistics of TLM Diffusion Models TLM An Example of Three-Dimensional Thermal Diffusion with Phase-Change Recent Advances in Inverse Thermal Modeling. The QIL approximation to L −1 consists of simply running the TLM backward (changing the sign of Δt, and also changing the sign of the dissipative terms to avoid computational blowup). Pu et al. (a) found that this is a rather accurate approximation to the dry-dynamics inverse model. It solves a deterministic problem, so that there is no need to find an optimal amplitude, as required by.

The Heat Transfer Module contains features for modeling conjugate heat transfer and nonisothermal flow effects. These capabilities can be used to model heat exchangers, electronics cooling, and energy savings, to name a few examples. Both laminar and turbulent flow are supported and can be modeled with natural and forced convection. Historical note. The problem is named after Josef Stefan (Jožef Stefan), the Slovenian physicist who introduced the general class of such problems around in a series of four papers concerning the freezing of the ground and the formation of sea ice. However, some 60 years earlier, in , an equivalent problem, concerning the formation of the Earth's crust, had been studied by Lamé and.


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TLM and inverse modelling in thermal diffusion problems by Anastasios Soulos Download PDF EPUB FB2

The Development of Lossy TLM Algorithms 3. The Theory of Lossy TLM PART II - Applications: 4. Heat Transfer Applications of Lossy TLM Algorithms 5. The Application of TLM Algorithms to Particle Diffusion 6.

Diffusion/Drift Models 7. TLM Algorithms for Laplace and Poisson Equations 8. TLM and Inverse Problems 9. Other Applications. Although it is best known in electromagnetic applications, TLM can also be used to model diffusion phenomena, and this book outlines the state of the art in this area.

The first part of the book deals with theory and techniques. The second part is devoted to the development of algorithms for specific by: 9. Abstract A method for reverse-time transmission line matrix (TLM) modeling of thermal diffusion problems described by the hyperbolic heat conduction equation.

Time Reversal inverse TLM modelling of thermal problems A.L. Koay, S.H. Pulko and A. Wilkinson+ A possible solution to reverse time modelling of thermal diffusion problems using parabolic inverse scattering in the transmission line matrix method is discussed. Consideration is given to the accuracy of the inverse method compared to.

The Development of Lossy TLM Algorithms 3. The Theory of Lossy TLM. PART II - Applications: 4. Heat Transfer TLM and inverse modelling in thermal diffusion problems. book of Lossy TLM Algorithms 5.

The Application of TLM Algorithms to Particle Diffusion 6. Diffusion/Drift Models 7. TLM Algorithms for Laplace and Poisson Equations 8. TLM and Inverse Problems 9.

Other Applications. Responsibility. Transmission line matrix modelling applied to thermal diffusion problems (microwave HBT) IEE Colloquium on Transmission Line Matrix Modelling - TLM, There is currently interest in the use of solid state devices, particularly heterojunction bipolar transistors, (HBTs) for producing pulses of high frequency microwave radiation.

Although it is best known in electromagnetic applications, TLM can also be used to model diffusion phenomena, and this book outlines the state of the art in this area.

The first part of the book deals with theory and techniques. The second part is devoted to the development of algorithms for specific applications. Transmission line matrix (TLM) is a discrete numerical time-domain modeling technique that can frequently be reduced to a closed-form solution of the diffusion equation.

In many cases the inverse. Abstract: Describes the operation of a transmission line matrix (TLM) based model of a diffusion problem. Extension to the basis treatment are reviewed and applications referred to. In TLM both space and time are discretised; the spacial region of interest is divided elemental volumes, and the modelling period is divided into iteration timesteps.

For the mathematical inverse problem that we obtain after the modeling, we present a uniqueness result, recasting the problem as the recovery of the initial condition for the heat equation in R x (0,∞) from measurements in a space-time curve.

Additionally, we present numerical experiments to recover the density of the fluorescent molecules by. [1] In this study, the performance of inverse three‐dimensional variational assimilation (I3D‐Var) is investigated in terms of dissipation process for an advection‐diffusion problem.

The performance of I3D‐Var becomes poorer with larger diffusion coefficients. However, even for strong dissipation, the cost function during early iterations in the I3D‐Var decreases still much faster. In this chapter, the applications of the main thermal diffusion models of the literature on practical examples were studied.

Their theoretical limitations were discussed, and a temperature- and composition-dependent correlation was proposed for reestimating the main parameter of the heat-of-transport model of Firoozabadi et al.

(   [5] de Cogan, D. and Henini, M. TLM modelling of solder voids in power semiconductors, IEEE Proc. Components, Hybrids and Manufacturing Technol., CHMT () [6] de Cogan, D. and Soulos, A. Inverse thermal model- ling using TLM, Numer.

Heat Transfer, 29Part B. solutions of the equation of heat conduction and some of them can be applied to diffusion problems for which the diffusion coefficient is constant. I have selected some of the solutions which seem most likely to be of interest in diffusion and they have been evaluated numerically and presented in graphi-cal form so as to be readily usable.

The convection–diffusion equation is a combination of the diffusion and convection equations, and describes physical phenomena where particles, energy, or other physical quantities are transferred inside a physical system due to two processes: diffusion and ing on context, the same equation can be called the advection–diffusion equation, drift–diffusion equation, or.

Heat transfer and thermal radiation modelling page 3 geometry to an ideal geometry (assuming perfect planar, cylindrical or spherical surfaces, or a set of points, a given interpolation function, and its domain), approximating material properties (constant.

Proceedings of a meeting on the properties, applications and new opportunities for the TLM numerical method (Hotel Tina, Warsaw 1/ 2 October ) Time Reversal inverse TLM modelling of thermal problems A.L. Koay, S.H. Pulko and A. Wilkinson TLM modelling of heat flow through defects in aircraft sandwich structures Joanna Wójcik, Tadeusz Niedziela A.

diffusion) are treated as information (prior probability). Model parameters are sampled, the appropriate forward problems are solved for a given thermal history and some measure of fit is calculated for each data type.

This is repeated many times and the outcome is a collection of acceptable thermal history models, where acceptable can be. Kanca, F., Ismailov, M.: The inverse problem of finding the time-dependent diffusion coefficient of the heat equation from integral overdetermination data.

Inverse Probl. Sci. Eng. 20, – () CrossRef zbMATH MathSciNet Google Scholar. () On an inverse problem, with boundary measurements, for the steady state diffusion equation. Inverse Problems() A stability result for distributed parameter identification in.

The authors then demonstrate the theory for use in acoustic propagation, along with examples of MATLAB code. The remainder of the book explores the application of TLM to problems in mechanics, specifically heat and mass transfer, elastic solids, simple deformation models, hydraulic systems, and computational fluid dynamics.

With its uncommon presentation of instructional material regarding mathematical modeling, measurements, and solution of inverse problems, Thermal Measurements. DOI link for Thermal Measurements and Inverse Techniques. Thermal Measurements and Inverse Techniques book. () Optimal modified method for a fractional-diffusion inverse heat conduction problem.

Inverse Problems in Science and Engineering() Two regularization methods for the Cauchy problems of the Helmholtz equation.