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.