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Reliability and Failure of Electronic Materials and Devices is a well-established and well-regarded reference work offering unique, single-source coverage of most major topics related to the performance and failure of materials used in electronic devices and electronics packaging. With a focus on statistically predicting failure and product yields, this book can help the design engineer, manufacturing engineer, and quality control engineer all better understand the common mechanisms that lead to electronics materials failures, including dielectric breakdown, hot-electron effects, and radiation damage. This new edition adds cutting-edge knowledge gained both in research labs and on the manufacturing floor, with new sections on plastics and other new packaging materials, new testing procedures, and new coverage of MEMS devices. Covers all major types of electronics materials degradation and their causes, including dielectric breakdown, hot-electron effects, electrostatic discharge, corrosion, and failure of contacts and solder joints New updated sections on "failure physics," on mass transport-induced failure in copper and low-k dielectrics, and on reliability of lead-free/reduced-lead solder connections New chapter on testing procedures, sample handling and sample selection, and experimental design Coverage of new packaging materials, including plastics and composites
Materials and Reliability Handbook for Semiconductor Optical and Electron Devices provides comprehensive coverage of reliability procedures and approaches for electron and photonic devices. These include lasers and high speed electronics used in cell phones, satellites, data transmission systems and displays. Lifetime predictions for compound semiconductor devices are notoriously inaccurate due to the absence of standard protocols. Manufacturers have relied on extrapolation back to room temperature of accelerated testing at elevated temperature. This technique fails for scaled, high current density devices. Device failure is driven by electric field or current mechanisms or low activation energy processes that are masked by other mechanisms at high temperature. The Handbook addresses reliability engineering for III-V devices, including materials and electrical characterization, reliability testing, and electronic characterization. These are used to develop new simulation technologies for device operation and reliability, which allow accurate prediction of reliability as well as the design specifically for improved reliability. The Handbook emphasizes physical mechanisms rather than an electrical definition of reliability. Accelerated aging is useful only if the failure mechanism is known. The Handbook also focuses on voltage and current acceleration stress mechanisms.
Examining numerous examples of highly sensitive products, this book reviews basic reliability mathematics, describes robust design practices, and discusses the process of selecting suppliers and components. He focuses on the specific issues of thermal management, electrostatic discharge, electromagnetic compatibility, printed wiring assembly, environmental stress testing, and failure analysis. The book presents methods for meeting the reliability goals established for the manufacture of electronic product hardware and addresses the development of reliable software. The appendix provides example guidelines for the derating of electrical and electromechanical components.
Electronics Reliability–Calculation and Design provides an introduction to the fundamental concepts of reliability. The increasing complexity of electronic equipment has made problems in designing and manufacturing a reliable product more and more difficult. Specific techniques have been developed that enable designers to integrate reliability into their products, and reliability has become a science in its own right. The book begins with a discussion of basic mathematical and statistical concepts, including arithmetic mean, frequency distribution, median and mode, scatter or dispersion of measurements, and the normal and binomial distributions. Separate chapters deal with techniques for calculating equipment and system reliability; safety and derating factors; and the effects of constructional methods on reliability. Subsequent chapters cover environmental effects on reliability; improved reliability through microelectronics or integrated circuits; and failure rates for electronic components. Each chapter concludes with questions to enable students to test their understanding of the topics discussed. This book offers students an introduction to the subject of reliability in a form that is easily assimilated. It also serves as a reference to the various aspects contributing towards increased reliability of both electronic equipment and complete systems.
This introductory text is intended to provide undergraduate engineering students with the background needed to understand the science of structure-property relationships, as well as address the engineering concerns of materials selection in design. A computer diskette is included.
This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of: • Concept of randomness and its relationship to chaos • Uses and limitations of the binomial and Poisson distributions • Relationship of the chi-square method and Poisson curves • Derivations and applications of the exponential, Weibull, and lognormal models • Examination of the human mortality bathtub curve as a template for components Section II introduces the case study modeling of failure data and is followed by analyses of: • 5 sets of ideal Weibull, lognormal, and normal failure data • 83 sets of actual (real) failure data The intent of the modeling was to find the best descriptions of the failures using statistical life models, principally the Weibull, lognormal, and normal models, for characterizing the failure probability distributions of the times-, cycles-, and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests. This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems.
This book addresses the needs of electronic design engineers, reliability engineers, and their respective managers, stressing a pragmatic viewpoint rather than a vigorous mathematical presentation.
The book charts how reliability engineering has moved from the use of sometimes arbitrary standards to an empirical scientific approach of understanding operating conditions, failure mechanisms, the need for testing for a more realistic characterisation and, new for the second edition, includes the monitoring of performance/robustness in the field. Reliability Characterisation of Electrical and Electronic Systems brings together a number of experts and key players in the discipline to concisely present the fundamentals and background to reliability theory, elaborate on the current thinking and developments behind reliability characterisation, and give a detailed account of emerging issues across a wide range of applications. The second edition has a new section titled Reliability Condition Monitoring and Prognostics for Specific Application which provides a guide to critical issues in key industrial sectors such as automotive and aerospace. There are also new chapters on areas of growing importance such as reliability methods in high-temperature electronics and reliability and testing of electric aircraft power systems. Reviews emerging areas of importance such as reliability methods in high-temperature electronics and reliability testing of electric vehicles Looks at the failure mechanisms, testing methods, failure analysis, characterisation techniques and prediction models that can be used to increase reliability Facilitates a greater understanding of operating conditions, failure mechanisms and the need for testing