Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where D. de Cogan is active.

Publication


Featured researches published by D. de Cogan.


Microelectronics Journal | 1998

Sub-surface feature location and identification using inverse TLM techniques

D. de Cogan; A. Soulos; K.O. Chichlowski

This paper describes several techniques involving transmission line matrix modelling which can be used to locate and characterize inhomogeneous features within a circuit package where the thermal response to heating of the underside is inspected at the top surface. These are used to confirm a semi-empirical thermal non-destructive testing approach to the determination of the lateral dimensions of a feature. The time to maximum contrast is an important parameter which can be used to estimate the depth of the same feature. This paper then describes our approach to the determination of feature thermal parameters and the influence of measurement noise on overall accuracy of the estimate.


Microelectronics Journal | 1999

The relationship between parabolic and hyperbolic transmission line matrix models for heat-flow

D. de Cogan

Abstract Transmission line matrix (TLM) algorithms for lossy electrical network provide a solution for the telegraphers equation. In spite of the fact that these constitute a lossy wave equation analogue, they have been successfully used to model thermal problems. This paper discusses the relationship between the hyperbolic and parabolic formulations and shows how TLM can be successfully applied in both regimes.


Numerical Heat Transfer Part B-fundamentals | 1996

INVERSE THERMAL MODELING USING TLM

D. de Cogan; A. Soulos

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 operation of the TLM method is hampered by the imbalance between the number of available equations and the number of unknowns. This article outlines the nature of the problem for Gaussian temperature profiles and shows how simple optimization can be used to obtain initial or early-time thermal information.


Journal of Physics D | 1996

TLM modelling of thermal processes in magneto-optic multi-layered media

E W Williams; H C Patel; D. de Cogan; S.H. Pulko

This paper introduces the application of the transmission line matrix (TLM) method for simulating thermal effects in magneto-optic multi-layers irradiated with a Gaussian laser beam. A model using linear heating compares favourably with an accepted semi-analytical treatment. Comparison with available experimental data suggests that thin film media of this type display a temperature-dependent, thermal conductivity. Simulations involving nonlinear heat flow have also been performed. Because there are no equivalent experimental data available for comparison, a series of tests with hypothetical data was undertaken. The results underline the urgent need for experimental measurements of the temperature-dependence of thermal conductivity in these materials.


International Journal of Numerical Modelling-electronic Networks Devices and Fields | 1996

DISCRETE MODELS OF HEAT FLOW IN LAYERED MATERIALS USING SIMPLE AND CORRELATED RANDOM WALKS

Peter Enders; D. de Cogan

The paper reviews some discrete probabilistic numerical techniques with particular emphasis on heat flow in inhomogeneous materials. The effects of different nodal configurations on the development of suitable algorithms are outlined and we suggest a new and consistent description for the discrete apparent effusivity. Our approach is then discussed in the context of TLM, and analogues are presented for flux relaxation time and effusivity.


Numerical Heat Transfer Part B-fundamentals | 1992

IMPEDANCE TRANSFORMATIONS AND MESH COARSENING IN TLM HEAT FLOW MODELING

D. de Cogan; Peter Enders; Xiang Gui

Numerical models of multimaterial systems are often constrained by stiffness factors, which impede numerical efficiency. Thus, heat flow simulations in problems involving widely different thermal time constants can require excessively fine meshes, extremely small iteration time steps, or both. The transmission line matrix method is an unconditionally stable technique that uses a network of impedances and resistances to model thermal diffusion, This paper outlines a method by which these parameters can be transformed as a means of improving computational efficiency while maintaining compatibility with microscopic models.


International Journal of Circuit Theory and Applications | 1991

An equivalent circuit for the analysis of transmission line matrix (TLM) scattering algorithms

A. H. M. Saleh; D. de Cogan

The transmission line matrix (TLM) method is a technique which is widely used for modelling physical phenomena. This paper outlines an equivalent-circuit model based on the superposition of current and voltage source contributions.


International Journal for Numerical Methods in Engineering | 2005

Accelerated convergence in TLM algorithms for the Laplace equation

D. de Cogan; William J. O'Connor; Xiang Gui


International Journal of Numerical Modelling-electronic Networks Devices and Fields | 2002

Distribution in TLM models for diffusion (Part II: multi-dimensional treatment)

Pierre Chardaire; D. de Cogan


International Journal of Numerical Modelling-electronic Networks Devices and Fields | 2005

Accelerated convergence in numerical simulations of surface supersaturation for crystal growth in solution under steady-state conditions

D. de Cogan; Mirosława Rak

Collaboration


Dive into the D. de Cogan's collaboration.

Top Co-Authors

Avatar

I. J. G. Scott

University of East Anglia

View shared research outputs
Top Co-Authors

Avatar

Peter Enders

University of East Anglia

View shared research outputs
Top Co-Authors

Avatar

Xiang Gui

University of Alberta

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

A. Soulos

University of East Anglia

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge