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The book highlights mechanical, thermal, electrical, and magnetic
properties, and characterization of additive manufactured products
in a single volume. It will serve as an ideal reference text for
graduate students and academic researchers in diverse engineering
fields including industrial, manufacturing, and materials science.
This text Explains mechanical properties like hardness, tensile
strength, impact strength, and flexural strength of additive
manufactured components Discusses characterization of components
fabricated by different additive manufacturing processes including
fusion deposition modeling, and selective laser sintering.
Highlights corrosion behavior of additive manufactured polymers,
metals, and composites. Covers thermal, electrical, and magnetic
properties of additively manufactured materials. Illustrates
intrinsic features and their Influence on mechanical properties of
additive manufactured products. This text discusses properties,
wear behavior and characterization of components produced by
additive manufacturing technology. These products find applications
in diverse fields including design, manufacturing and tooling,
aerospace, automotive industry, and biomedical industry. It will
further help the readers in understanding the parameters that
influence the mechanical behavior and characterization of
components manufactured by additive manufacturing processes. It
will serve as an ideal reference text for graduate students and
academic researchers in the fields of industrial engineering,
manufacturing engineering, automotive engineering, aerospace
engineering, and materials science.
Electrocatalysts are the heart of power devices where electricity
is produced via conversion of chemical into electrical energy. -
pressive advances in surface science techniques and in first pr-
ciples computational design are providing new avenues for signi-
cant improvement of the overall efficiencies of such power dev- es,
especially because of an increase in the understanding of el-
trocatalytic materials and processes. For example, the devel- ment
of high resolution instrumentation including various electron and
ion-scattering and in-situ synchrotron spectroscopies, elect-
chemical scanning tunneling microscopy, and a plethora of new
developments in analytical chemistry and electrochemical te-
niques, permits the detailed characterization of atomic
distribution, before, during, and after a reaction takes place,
giving unpre- dented information about the status of the catalyst
during the re- tion, and most importantly the time evolution of the
exposed ca- lytic surfaces at the atomistic level. These techniques
are c- plemented by the use of ab initio methods which do not
require input from experimental information, and are based on
numerical solutions of the time-independent Schrodinger equation
including electron-electron and electron-atom interactions. These
fir- principles computational methods have reached a degree of -
turity such that their use to provide guidelines for interpretation
of experiments and for materials design has become a routine
practice in academic and industrial communities.
Electrocatalysts are the heart of power devices where electricity
is produced via conversion of chemical into electrical energy. -
pressive advances in surface science techniques and in first pr-
ciples computational design are providing new avenues for signi-
cant improvement of the overall efficiencies of such power dev- es,
especially because of an increase in the understanding of el-
trocatalytic materials and processes. For example, the devel- ment
of high resolution instrumentation including various electron and
ion-scattering and in-situ synchrotron spectroscopies, elect-
chemical scanning tunneling microscopy, and a plethora of new
developments in analytical chemistry and electrochemical te-
niques, permits the detailed characterization of atomic
distribution, before, during, and after a reaction takes place,
giving unpre- dented information about the status of the catalyst
during the re- tion, and most importantly the time evolution of the
exposed ca- lytic surfaces at the atomistic level. These techniques
are c- plemented by the use of ab initio methods which do not
require input from experimental information, and are based on
numerical solutions of the time-independent Schrodinger equation
including electron-electron and electron-atom interactions. These
fir- principles computational methods have reached a degree of -
turity such that their use to provide guidelines for interpretation
of experiments and for materials design has become a routine
practice in academic and industrial communities.
A volume of this nature containing a collection of papers has been
brought out to honour a gentleman - a friend and a colleague -
whose work has, to a large extent, advanced and popularized the use
of stochastic point processes. Professor Srinivasan celebrated his
sixt~ first 1:!irth d~ on December 16,1990 and will be retiring as
Professor of Applied Mathematics from the Indian Institute of
Technolo~, Madras on June 30,1991. In view of his outstanding
contributions to the theor~ and applications of stochastic
processes over a time span of thirt~ ~ears, it seemed appropriate
not to let his birth d~ and retirement pass unnoticed. A s~posium
in his honour and the publication of the proceedings appeared to us
to be the most natural and sui table ~ to mark the occasion. The
Indian Societ~ for ProbabU it~ and Statistics volunteered to
organize the S~posium as part of their XII Annual conference in
Bomba~. We requested a number of long-time friends, colleagues and
former students of Professor Srinivasan to contribute a paper
preferabl~ in the area of stochastic processes and their
applications. The positive response and the enthusiastic
cooperation of these distinguished scientists have resulted in the
present collection. The contributions to this volume are divided
into four parts: Stochastic Theor~ (2 articles), P~sics (6
articles), Biolo~ (4 articles) and Operations Research (12
articles). In addition the ke~note address delivered b~ Professor
Srinivasan in the S~posium is also included.
Reliability theory has become one of the important areas in
Operational Research and Systems Engineering. Any system analysis,
in order to be complete, must give due consideration to system
reliability and availability. A system deSigner is often faced with
the problems of evaluation and improvement of system relia bility
and determination of optimum preventive maintenance schedule. In
the solution of these problems, he is largely aided by mathematical
mOdels. These models have received consi derable attention in the
past several years following the satel lite era. The monographs of
Gnedenko, Belyayev and Solovyev, and Barlow and Proschan describe
the state of art of the subject upto 1965 and are largely
responsible for the further work in the subject. The large number
of papers and surveys that have appeared subsequently in journals
devoted to Operational Research, Industrial Engineering and
Statistical Quality Control amply demonstrate the overwhelming
importance of the subject in contexts other than satellite and
space craft research. While there are very many important problems
that stem from these models, atten tion has been largely confined
to calculations of reliability of the system. In a lighter vein the
authors feel that the original papers in the area have a common
feature-oBJECTIVE ORIENTEDNES- the general theme of Operational
Research and in general, it is carried too far and to a high degree
of meticulousness. Thus there is a general need for a cogent
account of all the results that have appeared in the literature."
Learn how advances in technology can help curb bank fraud
Fraud prevention specialists are grappling with ever-mounting
quantities of data, but in today's volatile commercial environment,
paying attention to that data is more important than ever. "Bank
Fraud" provides a frank discussion of the attitudes, strategies,
and--most importantly--the technology that specialists will need to
combat fraud.
Fraudulent activity may have increased over the years, but so
has the field of data science and the results that can be achieved
by applying the right principles, a necessary tool today for
financial institutions to protect themselves and their clientele.
This resource helps professionals in the financial services
industry make the most of data intelligence and uncovers the
applicable methods to strengthening defenses against fraudulent
behavior. This in-depth treatment of the topic begins with a brief
history of fraud detection in banking and definitions of key terms,
then discusses the benefits of technology, data sharing, and
analysis, along with other in-depth information, including: The
challenges of fraud detection in a financial services
environmentThe use of statistics, including effective ways to
measure losses per account and ROI by product/initiativeThe Ten
Commandments for tackling fraud and ways to build an effective
model for fraud management
"Bank Fraud" offers a compelling narrative that ultimately urges
security and fraud prevention professionals to make the most of the
data they have so painstakingly gathered. Such professionals
shouldn't let their most important intellectual asset--data--go to
waste. This book shows you just how to leverage data and the most
up-to-date tools, technologies, and methods to thwart fraud at
every turn.
This book presents Maple solutions to a wide range of problems
relevant to chemical engineers and others. Many of these solutions
use Maple's symbolic capability to help bridge the gap between
analytical and numerical solutions. The readers are strongly
encouraged to refer to the references included in the book for a
better understanding of the physics involved, and for the
mathematical analysis. This book was written for a senior
undergraduate or a first year graduate student course in chemical
engineering. Most of the examples in this book were done in Maple
10. However, the codes should run in the most recent version of
Maple. We strongly encourage the readers to use the classic
worksheet (*. mws) option in Maple as we believe it is more
user-friendly and robust. In chapter one you will find an
introduction to Maple which includes simple basics as a convenience
for the reader such as plotting, solving linear and nonlinear
equations, Laplace transformations, matrix operations, 'do loop,'
and 'while loop. ' Chapter two presents linear ordinary
differential equations in section 1 to include homogeneous and
nonhomogeneous ODEs, solving systems of ODEs using the matrix
exponential and Laplace transform method. In section two of chapter
two, nonlinear ordinary differential equations are presented and
include simultaneous series reactions, solving nonlinear ODEs with
Maple's 'dsolve' command, stop conditions, differential algebraic
equations, and steady state solutions. Chapter three addresses
boundary value problems.
Nuclear reactor technologies being developed for Generation IV
reactors promise significant improvements in economics, safety,
reliability and sustainability over present technologies by proper
choice of cladding and structural material for the nuclear reactor.
Studies to develop optimum combination of properties for steels
intended for use as wrappers indicated that 9-12Cr type ferritic
steels presented superior high temperature strength at temperatures
below 873 K and excellent dimensional stability at high irradiation
doses. Increasing the operating temperature by Oxide Dispersion
Strengthening (ODS) of these steels will make them a promising
candidate materials for advanced fast reactor core and fusion
reactor blanket applications. The monograph elaborates the
synthesis of nano-sized yttria dispersed 9%Cr martensitic steel by
Mechanical Alloying (MA) and consolidation employing various powder
compaction methodologies. Alloy powder characterization allowed
optimization of experimental synthesis and bulk production.
Characterization of the consolidated specimens was carried out to
study the micro structural evolution during compaction.
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