Nuclear Corrosion Modeling

Butterworth-Heinemann Title
ISBN: 978-1-85617-802-0
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Nuclear Corrosion Modeling

The Nature of CRUD

By Roy Castelli

216 pages
Trim Size 6 1/8 X 9 1/5 in
Copyright 2009
USD 210.00, Hardcover

Available: In Stock

Additional Format: ScienceDirect e-book
 
Key Features

  • The only book to focus exclusively on preventing nuclear corrosion

  • Uses computer modelling to tie together chemical engineering, civil engineering, corrosion science, and nuclear engineering into a cohesive solution to a vexing nucelar problem

  • Includes all fundamental equations, example data sets and experimental techniques

    Description

    Corrosion in nuclear power plants cause reductions in efficiency and increases in deposit build-up on plant surfaces, making for expensive maintentance and potential radiological health hazards. This book guides studies to predict and minimize corrosion, thus making nuclear power safer and more cost effective. Too often, reliance on empirical models and on-site testing of existing plants makes study and prediction of corrosive effects in nuclear reactors into a pricey and lengthy process. Introducing the experimental procedures, set up, sample preparation and computer modeling suggested in this book will save precious time and resources in a field where the significant time and expense to get and keep plants on-line are two of the chief concerns preventing broader commerical viability.


    Readership

    Nuclear Engineers, Nuclear Power Designers, Chemical and Civil Engineers working in the Nuclear field, Corrosion Scientists

    Contents

    Preface
    Introduction
    Why do we care?
    Bounding the discussion
    The reactor
    Materials of construction
    pH control agents and coolant additives
    Clarifying the definition
    The analytical domain
    The Corrosion Source
    The process
    The form
    Why a double layered film?
    Ion site preference
    Kinetics
    Modeling the behavior
    A closer look at kp
    Elemental speciation of kp & kr
    The cobalt source
    Tramp cobalt in construction material
    High cobalt content alloys
    A place to start
    Framing the vision of the general equation set
    Mass balances
    Physico-chemical processes
    Nuclear processes
    Dependant variables
    Modeling coolant additives and pH control agents
    Building block fluxes for the general equation set
    Corrosion growth and release
    Particulate deposition and erosion
    Water Purity
    Practical measurements of kdp and ke
    Hydro-thermal crystallization/dissolution
    Saturated or equilibrium coolant concentrations
    Vanishing dependent variables
    Parsing the hydrothermal mass transfer
    Modeling of boiling phenomena
    Boiling enhanced hydrothermal crystallization
    Boiling enhanced particulate deposition
    Hydrothermal particulate crystallization/dissolution
    Saturation enhancement factor (FP)
    Hydrothermal particulate mass transfer coefficient
    Building block models for radioactive build-up and decay
    Effective thermal neutron production cross sections
    Chromite sub-layer equations
    Iron & nickel based alloys
    Stellite��
    Zircaloy
    Ferrite layer equations
    Particulate aqueous phase equations
    Discussion
    Aqueous soluble phase equations
    Iron & nickel based alloy soluble equations
    Zircaloy base metal soluble equations
    Stellite�� base metal soluble equations
    Discussion
    Framing the vision of the media equation set
    Reactor coolant purification systems
    Modeling media
    Filtration building block model
    Modeling �� f and ��
    A simpler approach
    Ion-exchange building block model
    The media equation set
    Media ionic sub-surface equations (ion-exchangers only)
    Media surface phase (filtered mass) equations
    Media particulate equations
    Media soluble equations
    A solution method
    Linerizing the equation sets
    Finite differencing
    General equations for iron in iron/nickel based alloys
    Simplified-linearized iron equations
    Discussion
    How does finite-differencing work?
    Defining Y (n) and b (n,m)
    Subordinate or Secondary Models and Correlations
    FORTRAN or C Algorithms for the Thermodynamic Properties of Steam and Water
    Computation of pH (log of the H+ ion concentration)
    Single Phase Hydraulic Friction Factor
    Defining the Input Architecture for NOC
    System Defaults and Program Control Inputs
    Finite Difference Mesh
    Time Independent Part (or region) Inputs
    Operating History Histogram Inputs
    The Modeling of Time
    Time Dependent Inputs
    Time dependent loop connection table inputs
    Time dependent part inputs
    Nuclear inputs and power shapes
    Program design and suggestions
    Program Architecture
    Input module
    Full input processing
    Input pre-scanning
    Full input summary edits
    Auto-mesh generation
    Initial dependent variable boundary conditions
    Restart input processing
    The restart file structure
    The analysis module
    Loop 1 ? Operating Steps
    Keeping track of time
    Loop 2 ? Temporal Power Rows
    Loop 3 ? Descending the loop connection table
    Loop 4 ? The inner-most loop over mesh cells
    Dynamic solution repair
    Consider a freezing strategy
    Row convergence
    A word about convergence
    Preserving the mass balance
    Partial row rebalance
    Oscillatory solutions
    A special case mass rebalance
    Wrapping up the problem
    Summary tables
    The output module
    Summary
    Pre and post processing (the GUI interface)
    Post processing functionality
    Special solution edits
    Simulation graphical trends
    Summary
    Afterward
    References.
    Glossary
    Nomenclature
    Appendix A.
    Nickel equilibria
    Cobalt equilibria
    Zinc equilibria

    Author Information

    By Roy Castelli, Lockheed Martin, Nuclear Engineer; Knolls Atomic Power Laboratory, Advisory Engineer

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