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In the current, increasingly aggressive business environment, crucial decisions about product design often involve significant uncertainty. Highlighting the competitive advantage available from using risk-based reliability design, Engineering Design Reliability Applications: For the Aerospace, Automotive, and Ship Industries provides an overview of how to apply probabilistic approaches and reliability methods to practical engineering problems using real life engineering applications. A one-step resource, the book demonstrates the latest technology, how others have used it to increase their competitiveness, and how you can use it to do the same. The book makes the case for accurate assessment of the reliability of engineering systems, simple, complex, or large-scale. It presents two computer programs for reliability analysis and demonstrates these programs on aircraft engines, structures used for testing explosives, medical and automotive systems. The focus then shifts to aircraft and space systems, including lap joints, gas turbines, and actively controlled space structures. The editors provide analytical tools for reliability analysis, design optimization, and sensitivity analysis of automotive systems. They include a general methodology for reliability assessment of ship structures and highlight reliability analysis of composite materials and structures. Delineating generic tools and computer programs applicable to any situation, the book shows you how to quantify, understand, and control uncertainties, reduce risk, and increase reliability using real-life examples. Engineers from the industry and national labs as well as university researchers present success stories and quantify the benefits of reliability design for their organizations. They demonstrate how to convince colleagues and management of the potential benefits of these approaches in allowing their organizations to gain significant benefits and dramatically increase their competitiveness.
Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and definitive presentations on the subject, Engineering Design Reliability Handbook is a valuable addition to the reliability literature. It presents the perspectives of experts from the industry, national labs, and academia on non-deterministic approaches including probabilistic, interval and fuzzy sets-based methods, generalized information theory, Dempster-Shaffer evidence theory, and robust reliability. It also presents recent advances in all important fields of reliability design including modeling of uncertainty, reliability assessment of both static and dynamic components and systems, design decision making in the face of uncertainty, and reliability validation. The editors and the authors also discuss documented success stories and quantify the benefits of these approaches. With contributions from a team of respected international authors and the guidance of esteemed editors, this handbook is a distinctive addition to the acclaimed line of handbooks from CRC Press.
As engineering systems become more and more complex, industry has recognized the importance of system and product reliability and places ever increasing emphasis on it during the design phase. Despite its efforts, however, industry continues to lose billions of dollars each year because of unexpected system failures. Therefore, it becomes increasingly important for designers and engineers to have a solid grounding in reliability engineering and keep abreast of new developments and research results.
Author : Gary Wasserman
ISBN : 0203910443
Genre : Technology & Engineering
File Size : 69.67 MB
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Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book discusses modern design reliability principles, techniques, and terms, applications of Microsoft® Excel Tool Solver and Goal Seek nonlinear search procedures for developing Fisher matrices and likelihood ratio confidence intervals, and table generation on median ranks, beta-binomial bounds, and standard percents.
Author : Thomas A. Cruse
ISBN : 0824797930
Genre : Technology & Engineering
File Size : 54.5 MB
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Discussing the modern tools that support designs based on product reliability, this text focuses on the classical techniques of reliability analysis as well as response surface modelling and physics-based reliability prediction methods. It makes use of the available personal computer tools that permit a host of application examples, and contains an IBM-compatible disk that illustrates immediately applicable software that facilitates reliability modelling in mechanical design.
? Methods of synthesizing distributions ? Methods of determining the failure governing stress and strength distributions? Quantification of the Reliability and Unreliability of components and structural members using the modern failure governing stress and strength distributions interference approach? A unified look at the concepts of safety factors, safety margins and the designed-in Reliability? Special methods, including Monte Carlo simulation, to predict the Reliability of mechanical components and structures? The process of Failure Modes, Effects and Criticality Analysis (FAMECA)? Numerous examples of applications and guidelines for the implementation of the EDBR methodology--------------------------------------------------------------------------------This new book is the first to provide an advanced methodology to achieve optimum designed-in reliability of products and components. All steps are clearly illustrated by worked practical examples. Specific applications feature mechanical components and structural members widely used today. The implementation of this methodology will enable the engineer to design products and components with superior reliability, maintainability, safety, and value. --------------------------------------------------------------------------------TABLE OF CONTENTS Problems and reference sections are included in each chapter. Preface Chapter 1--Introduction? The Need for Engineering Design by Reliability? Differences between Mechanical and Electronic Reliability Prediction Methods? Available Mechanical Reliability Prediction Methods? Comparison of the Conventional Design Methodology and the "Engineering Design by Reliability" Methodology? The Safety Factor and Safety Margin Concepts in Design versus the Reliability Concept Chapter 2--Fifteen-Step Reliability Prediction and the "Robust Engineering Design by Reliability" Methodology? Introduction? Definition of Reliability? Fifteen-Step Methodology Chapter 3--The Central Limit Theorem, And The Moments And The Monte Carlo Simulation Methods Of Synthesizing Distributions? The Sum of Many Independent and Indentically Distributed (IID) Random Variables? The Central Limit Theorem? The Method of Moments? Interpolation Procedure for z''a Tables? The Monte Carlo Simulation Method? Comments on Methods for Synthe-Sizing Distributions Chapter 4--Methods of Determining the Failure Governing Stress Distribution? Determination of the Load Characteristics and The Associated Stress Distribution? Procedure for Determining the Failure Governing Stress Distribution? Methods of Synthesizing the Failure Governing Stress Distribution? Binary Synthesis of Distributions? Generation of System Moments? Monte Carlo Simulation Chapter 5--Methods of Determining the Failure Governing Strength Distribution? Distribution of the Material Properties and the Associated Strength Distribution? Data Generation and Determination of the Distributions of the Material Strength Properties? Procedure for Determining the Failure Governing Strength Distribution? Binary Synthesis of Normal Distributions Method? Generating System Moments Method? Monte Carlo Simulation Method Chapter 6--Illustrated Methods of Calculating the Reliability of Components? Introduction? The General Reliability Expression to Be Used When f(S) and f(s) Are Both Neither Normal Nor Lognormally Distributed? Numerical Integration? Mellin Transforms? Monte Carlo Simulation? Normal Failure Governing Stress and Strength Distributions? Lognormal Failure Governing Stress and Strength Distributions? Reliability of Components Given the Failure Governing Stress Distribution and a Discrete, Fixed Failure Governing Strength? Reliability of Components Given a Discrete Failure Governing Stress and the Failure Governing Strength Distribution? Reliability of Components Given Discrete Failure Governing Stress and Strength? Reliability When f(s) and f(S) Are Both Normal, and When s=S? Reliability When Failure Governing Stress and Strength Are Both Distributed? Reliability of Components Subjected To Fatigue Given a Fixed Alternating Stress Level, the Corresponding Cycles-To-Failure Distribution and a Specific Life Requirement? Reliability When Operating an Additional Number of Cycles Having Already Completed a Specific Number of Cycles of Operation at a Specific Alternating Stress Level and the Associated F(N)? Reliability Given the Distribution of the Duty Cycles of Operation of Identical Components and Their Cycles-To-Failure Distribution under Fatigue Loading? Reliability for a Specific Life Given the Failure Governing Strength Distribution for That Life and a Constant Maximum Alternating Stress under Fatigue Loading? Reliability for a Specific Life Given the Failure Governing Strength Distribution for That Life and the Failure Governing Maximum Alternating Stress Distribution for That Life under Fatigue Loading? Reliability for Completing An Additional Number of Cycles, Having Already Completed A Specific Number of Cycles of Operation Successfully, Given, f(Sn1), f(sn1), f(Sn1+n) andf(sn1+n) under Fatigue Loading? Reliability with Combined Alternating and Mean Stress under Fatigue Loading Chapter 7--Determination of the Designed-In Reliability Confidence Limit at A Specified Confidence Level? Introduction? Determination of Mechanical Reliability? Determination of the Lower One-Sided Confidence Limit on the Reliability? Calculating the Lower One-Sided Confidence Limit on the Reliability? Effect of Confidence Level on the Lower, One-Sided Confidence Limit on the Reliability? Effect of Sample Size on the Lower, One-Sided Confidence Limit on the Reliability? How to Design To a Reliability Goal at a Specified Confidence Level? Conclusions and Recommendations Chapter 8--Unreliability and Reliability Determination by the Stress/Strength Distributions'' Interference Approach? Introduction? The Failure Probability and Failure Function? Failure Function Determination? The Survival Function? Determination of Reliability or Unreliability by the Difference-Distribution Method? Conclusions Chapter 9--A Unified Look At Design Safety Factors, Safety Margins And Measures Of Reliability? Introduction? Failure Governing Stress and Strength, and Their Distributions? Safety Factors? Safety Margins? Measures of Reliability? ConclusionsChapter 10--Comparative Accuracy of Evaluating Reliability Using Simpson''s Rule, the Trapezoidal Rule and the Gauss-Legendre Method? Introduction? Simpson''s Rule, Trapezoidal Rule, and Gauss-Legendre Methods? Methodology for Evaluating Reliability? Comparison of the Accuracy? Conclusions Chapter 11--Exact and Easy To Obtain Solutions for the Prediction of the Reliability of Mechanical Components and Structural Members? Introduction? Lognormal Failure Governing Stress and Strength Distributions? Gamma Failure Governing Stress and Strength Distributions? Exponential Failure Governing Stress and Normal Failure Governing Strength Distributions? Exponential Failure Governing Stress and Truncated Normal Failure Governing Strength Distributions? Normal Failure Governing Stress and Exponential Failure Governing Strength Distributions? Truncated Normal Failure Governing Stress and Exponential FailureGoverning Strength Distributions
Reliability and safety are core issues that must be addressed throughout the life cycle of engineering systems. Reliability and Safety Engineering presents an overview of the basic concepts, together with simple and practical illustrations. The authors present reliability terminology in various engineering fields, viz., • electronics engineering, • software engineering, • mechanical engineering, • structural engineering, and • power systems engineering. They describe the latest applications in the area of probabilistic safety assessment, such as technical specification optimization, risk monitoring and risk informed in-service inspection. Reliability and safety studies must, inevitably, deal with uncertainty, so the book includes uncertainty propagation methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer theory and probability bounds. Reliability and Safety Engineering also highlights advances in system reliability and safety assessment including dynamic system modeling and uncertainty management. Case studies from typical nuclear power plants, as well as from structural, software, and electronic systems are also discussed. Reliability and Safety Engineering combines discussions of the existing literature on basic concepts and applications with state-of-the-art methods used in reliability and risk assessment of engineering systems. It is designed to assist practicing engineers, students and researchers in the areas of reliability engineering and risk analysis.
Author : Franklin Fisher
ISBN : 9780824745400
Genre : Science
File Size : 44.38 MB
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The authors of this text seek to clarify mechanical fatigue and design problems by applying probability and computer analysis, and further extending the uses of probability to determine mechanical reliability and achieve optimization. The work solves examples using commercially available software. It is formatted with examples and problems for use in a one-semester graduate course.
Author : Guangbin Yang
ISBN : 9780471715290
Genre : Technology & Engineering
File Size : 21.14 MB
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Product reliability engineering from concept to marketplace In today's global, competitive business environment, reliability professionals are continually challenged to improve reliability, shorten design cycles, reduce costs, and increase customer satisfaction. "Life Cycle Reliability Engineering" details practical, effective, and up-to-date techniques to assure reliability throughout the product life cycle, from planning and designing through testing and warranting performance. These techniques allow ongoing quality initiatives, including those based on Six Sigma and the Taguchi methods, to yield maximized output. Complete with real-world examples, case studies, and exercises, this resource covers: Reliability definition, metrics, and product life distributions (exponential, Weibull, normal, lognormal, and more) Methodologies, tools, and practical applications of system reliability modeling and allocation Robust reliability design techniques Potential failure mode avoidance, including Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) Accelerated life test methods, models, plans, and data analysis techniques Degradation testing and data analysis methods, covering both destructive and nondestructive inspections Practical methodologies for reliability verification and screening Warranty policies, data analysis, field failure monitoring, and warranty cost reduction All reliability techniques described are immediately applicable to product planning, designing, testing, stress screening, and warranty analysis. This book is a must-have resource for engineers and others responsible for reliability and quality and for graduate students in quality and reliability engineering courses.
Author : Rudolph Frederick Stapelberg
ISBN : 9781848001756
Genre : Technology & Engineering
File Size : 79.20 MB
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This handbook studies the combination of various methods of designing for reliability, availability, maintainability and safety, as well as the latest techniques in probability and possibility modeling, mathematical algorithmic modeling, evolutionary algorithmic modeling, symbolic logic modeling, artificial intelligence modeling and object-oriented computer modeling.