Numerical modeling of HgCdTe solidification effects of phase diagram, double-diffusion convection and microgravity level

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Published by Society of Photo-Optical Instrumentation Engineers, National Aeronautics and Space Administration, National Technical Information Service, distributor] in Bellingham, Wash, [Washington, D.C, Springfield, Va .

Written in English

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Subjects:

  • Mercury cadmium tellurides.,
  • Convection.,
  • Diffusion.,
  • Microgravity.,
  • Phase diagrams.,
  • Mathematical models.,
  • Finite element method.

Edition Notes

Book details

Other titlesEffects of phase diagram, double-diffusion convection and microgravity level
StatementAndris V. Bune, Donald C. Gillies, and Sandor L. Lehoczky.
SeriesNASA technical memorandum -- 207380
ContributionsGillies, D. C., Lehoczky, Sandor L., United States. National Aeronautics and Space Administration.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL17135317M

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Numerical modeling of HgCdTe solidification: effects of phase diagram, double-diffusion convection and microgravity level. Andris V. Bune a, Donald C. Gillies b and Sandor L. Lehoczky 6 aNational Research Council / bSpace Science Laboratory. NASA Marshall Space Flight Center, ES 75, Huntsville, A1USA 1.

INTRODUCTION. A numerical model of HgCdTe solidification was implemented using finite the element code FIDAP. Model verification was done using both experimental data and numerical test problems. The model was used to evaluate possible effects of double-diffusion convection in.

A numerical model of HgCdTe solidification was implemented using finite the element code FIDAP. Model verification was done using both experimental data and numerical test problems. The model was used to eluate possible effects of double- diffusion convection in molten material, and microgravity level on concentration distribution in the solidified HgCdTe.

A numerical model of HgCdTe solidification was implemented using finite the element code FIDAP. Model verification was done using both experimental data and numerical test problems.

The model was used to eluate possible effects of double- diffusion convection in molten material, and microgravity level on concentration distribution in the solidified by: 3. In the present study, HgCdTe is considered as a binary alloy with melting temperature available from a phase diagram.

The numerical model of convection and solidification of binary alloy is based on the general equations of heat and mass transfer in two-dimensional region.

A numerical model of HgCdTe solidification was implemented using finite the element code FIDAP. Model verification was done using both experimental data and numerical test problems. The model was used to evaluate possible effects of double-diffusion convection in molten material, and microgravity level on concentration distribution in the solidified HgCdTe.

model, both heat conduction and solute dif fusion are taken into account. The mathematical model is implemented numerically using a finite-dif ference discretization and the results of some. We discuss analytic and numerical models for HgCdTe photodiodes and present examples of their application.

Analytic models can account for the performance obtained by many device architectures. Numerical and analytic models agree in predicting several aspects of device performance, such as diffusion limited dark current, confirming the approximations used in deriving the analytic by: The mathematical model and numerical simulation results of metals alloy solidification process based on the finite element method (FEM) are presented in this paper.

Comparison of Numerical Models of Solidification Behavior in Direct Chill als and Metals Processing, of which this book is the proceedings, was to bring together leading Computational Modeling of Materials, Minerals and Metals Processing.

Numerical Modeling of HgCdTe Solidification: Effects of Phase Diagram, Double-Diffusion Convection and Microgravity Level by Bune, Andris V. ; Gillies, Donald C. ; Lehoczky, Sandor L. A numerical model of HgCdTe solidification was implemented using finite the element code FIDAP.

Model verification was done using both experimental data and numerical test problems. The model was used to evaluate possible effects of double-diffusion convection in molten material, and microgravity level on concentration distribution in the solidified by: 3.

Mathematical modelling of solidification and melting: a review Figure 1. Schematic illustration of spacetime for the two-phase Stefan problem. And analytical solution to such a problem was obtained by Neumann in terms of a similarity variable D x 2 p l: (9) The final Neumann’s solution can be written as: Interface position X.t/D2 p lt (10)File Size: KB.

Numerical Modeling of IR-Laser-Irradiated HgCdTe Numerical Modeling of IR-Laser-Irradiated HgCdTe Storebo, Asta; Brudevoll, Trond; Stenersen, Knut Journal of ELECTRONIC MATERIALS, Vol. 39, No. 10, DOI: /s TMS 1,2 1 ASTA KATRINE STOREBO, TROND BRUDEVOLL, and KNUT STENERSEN 1.—FFI (Norwegian. Numerical modeling of HgCdTe solidification: effects of phase diagram, double-diffusion convection and microgravity level Author: Andris V Bune ; D C Gillies ; Sandor L Lehoczky ; United States.

Through numerical simulations at 77 K, it is shown that Auger suppression has a twofold effect on the sensitivity of the LWIR p on n HgCdTe sensors by decreasing the dark current and increasing the Cited by: 2.

Abstract: In this paper, we present a physics-based full 3-D numerical simulation model of third-generation infrared (IR) detector pixel arrays.

The approach avoids geometrical simplifications typical of 1-D and 2-D models that can introduce errors which are difficult to by: The paper presents numerical considerations of temperature-dependent performance of different mid-wave infrared HgCdTe detectors (with p- and n-type active layer) for non-equilibrium t–voltage characteristics of double heterostructure PpN photodiode, pB p pN barrier photodiode, nB n n and nB n nN barrier detectors are compared to find an optimal architecture for high Cited by: 3.

Science and Engineering of Casting Solidification, Second Edition covers the essentials of solidification science of metals and alloys at macro- and micro-length scales at cooling rates specific to commercial castings and rapid solidification processing. The mathematical fundamentals necessary to build a working knowledge in the field, specifically partial differential equations and numerical.

MATHEMATICAL MODELLING AND EXPERIMENTAL 4 APPROXIMATE ANALYTICAL MODEL FOR SOLIDIFICATION IN A FINITE Henell A.-M., Validating a numerical phase change model by using infrared thermography.

Proceedings of the 6th International Conference on Quantitative Infrared Thermography, QIRTDubrovnik,Cited by: 8. Mathematical Modeling Of Melting And Freezing Processes 1st Edition by V. Alexiades (Author) ISBN ISBN Why is ISBN important.

ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. Cited by: Solidification and Solid-State Transformations of Metals and Alloys describes solidification and the industrial problems presented when manufacturing structural parts by casting, or semi-products for forging, in order to obtain large, flat or specifically shaped parts.

Solidification follows the nucleation and growth model, which will also be applied in solid-state transformations, such as. The major methods of mathematical modelling of solidification and melting problems are reviewed in this paper. Different analytical methods, nowadays still used as standard references to validate numerical models, are presented.

Various mathematical formulations to numerically solve solidification and melting problems are by: Numerical modeling of HgCdTe solidification [microform]: effects of phase diagram, double-diffusion con A programmed course in physics: diagram booklet for form V /.

D A simple binary alloy solidification model E The Rubinstein similarity solution F Shortcomings of the simple model G Uncoupled models of alloy solidification H The Tien-Geiger model for freezing over an extended range Rapid freezing of a finite slab with stining of melt PROBLEMS Science and Engineering of Casting Solidification, Second Edition covers the essentials of solidification science of metals and alloys at macro- and micro-length scales at cooling rates specific to commercial castings and rapid solidification processing.

The mathematical fundamentals necessary to build a working knowledge in the field, specifically partial differential equations and numerical Format: Paperback. The model is general enough to include a wide range of polymeric separator materials, lithium salts, and composite insertion cathodes.

Insertion of lithium into the active cathode material is simulated using superposition, thus greatly simplifying the numerical calculations. Variable physical properties are permitted in the by: A. De Mari, "An accurate numerical one-dimensional solution of the p-n junction under arbitrary transient conditions", Solid State Electron ().

Medici Manual, Technology Modelling Associates, Computer program Semicad Devices, Dawn Technologies Inc., California, NUMERICAL METHODS FOR SOLIDIFICATION INTRODUCTION Numerous books are devoted to this subject, and only a small fraction of the topic can be covered here.

The objective is to understand the use of numerical schemes, and in particular to focus on the accuracy of the methods, i.e., how close the numerical solution is to the exact solution. Enable the Solidification/Melting option in the Model group box.

The Solidification and Melting dialog box will expand to show the related parameters. Retain the default value of for the Mushy Zone Constant. This default value is acceptable for most cases.

Enable the Include Pull Velocities option. By including the pull velocities, you will account for the movement of the File Size: KB. Numerical Modeling of Earth Systems An introduction to computational methods with focus on solid Earth applications of continuum mechanics Lecture notes for USC GEOL, v.

Thorsten W. Becker Department of Earth Sciences, University of Southern California, Los Angeles CA, USA and Boris J. Kaus University of Mainz, Germany March 8, In the present work, a numerical method is developed for modeling solidification shrinkage based on the volume of fluid (VOF) method.

Special attention is paid to shrinkage formation during the casting of an energetic material, tri-nitro-toluene (TNT), in a cylinder.

The model isCited by: Mathematical modelling of solidification and melting. The major methods of mathematical modelling of solidification and melting problems.

Sharath Chandra. J (HH) Sharabh Kochar (HH) Matter is subject to a phase change. Consequently, a boundary separating two different phases develops and moves in the matter during the process.

Introduction to the Numerical Modeling of Groundwater and Geothermal Systems: Fundamentals of Mass, Energy and Solute Transport in Poroelastic Rocks Prof. @article{osti_, title = {Large area controlled assembly of transparent conductive networks}, author = {Ivanov, Ilia N.

and Simpson, John T.}, abstractNote = {A method of preparing a network comprises disposing a solution comprising particulate materials in a solvent onto a superhydrophobic surface comprising a plurality of superhydrophobic features and interfacial areas between the.

COMPUTER SUPPORT OF CASTING AND SOLIDIFICATION PROCESS can help you to eliminate this handicap to a certain extent. These is not a new textbook, there are enough of those. The study support is a replacement, if possible, for the lack of direct instruction andFile Size: 2MB.

Numerical expression and numerical derivative of the Scheil curve: application to grain size on solidification and semi-solid processing. A key concept that might be used for applications is the (numerical) derivative of the solid fraction fs with temperature.

A CFD-DEM model is suitable for the modeling or simulation of fluid-solids or fluid-particles systems. In a typical CFD-DEM model, the phase motion of discrete solids or particles is obtained by the Discrete Element Method (DEM) which applies Newton's laws of motion to every particle and the flow of continuum fluid is described by the local averaged Navier–Stokes equations that can be solved.

Get this from a library. Solidification and Gravity II: Proceedings of the Second International Conference on Solidification and Gravity, held in Miskolc, Hungary, April -- The aim of the present collection is to foster exchanges between research groups having an interest in solidification under both micro- and macro-gravity conditions.

Computational Physics by Peter Young. This note is intended to be of interest to students in other science and engineering departments as well as note assumes that you can write a simple program in one of the following languages: C or C++, Java, or Fortran.

work, modeling and numerical optimization techniques are explored for overcoming many of the limitations associated with the algorithms used for scenario analysis, planning and control, and online security assessment.

The proposed techniques have been tested on mid to large-scale real power networks obtained from South American, North American, andFile Size: 2MB. Moreover, the book summarizes recent research advances in HgCdTe/AlGaN detectors for the infrared/ultraviolet waveband, with a particular focus on the numerical method of detector design, material epitaxial growth and processing, as well as Complementary Metal-Oxide-Semiconductor Transistor readout : Springer Berlin Heidelberg.Mercury cadmium telluride (MCT) is the third most well-regarded semiconductor after silicon and gallium arsenide and is the material of choice for use in infrared sensing and imaging.

The reason for this is that MCT can be ‘tuned’ to the desired IR wavelength by varying the cadmium concentration. Mercury Cadmium Telluride: Growth, Properties and Applications provides both an introduction.

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