Kailash C. Kapur, Michael Pecht

Reliability Engineering

• Gebundenes Buch

Produktbeschreibung

An Integrated Approach to Product Development
Reliability Engineering presents an integrated approach to the design, engineering, and management of reliability activities throughout the life cycle of a product, including concept, research and development, design, manufacturing, assembly, sales, and service. Containing illustrative guides that include worked problems, numerical examples, homework problems, a solutions manual, and class-tested materials, it demonstrates to product development and manufacturing professionals how to distribute key reliability practices throughout an organization.

The authors explain how to integrate reliability methods and techniques in the Six Sigma process and Design for Six Sigma (DFSS). They also discuss relationships between warranty and reliability, as well as legal and liability issues. Other topics covered include:

Reliability engineering in the 21 st Century
Probability life distributions for reliability analysis
Process control and process capability
Failure modes, mechanisms, and effects analysis
Health monitoring and prognostics
Reliability tests and reliability estimation
Reliability Engineering provides a comprehensive list of references on the topics covered in each chapter. It is an invaluable resource for those interested in gaining fundamental knowledge of the practical aspects of reliability in design, manufacturing, and testing. In addition, it is useful for implementation and management of reliability programs.

Produktdetails

• Wiley Series in Systems Engineering and Management
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 512
• Erscheinungstermin: 28. April 2014
• Englisch
• Abmessung: 260mm x 183mm x 32mm
• Gewicht: 1200g
• ISBN-13: 9781118140673
• ISBN-10: 1118140672
• Artikelnr.: 36873822

Autorenporträt

KAILASH KAPUR, PHD, is a Professor of Industrial & Systems Engineering at the University of Washington, where he was also the Director from 1993 to 1999. Dr. Kapur has worked with General Motors Research Laboratories as a senior research engineer, Ford Motor Company as a visiting scholar, and the U.S. Army, Tank-Automotive Command as a reliability engineer. He is a Fellow of ASQ and IIE, and a registered professional engineer. MICHAEL PECHT, PHD, is the founder of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world's leading electronics companies. He is also a Chair Professor in Mechanical Engineering and a Professor in Applied Mathematics at the University of Maryland. He consults for twenty-two major international electronics companies.

Inhaltsangabe

Preface xv 1 Reliability Engineering in the Twenty-First Century 1 1.1 What
Is Quality? 1 1.2 What Is Reliability? 2 1.3 Quality, Customer
Satisfaction, and System Effectiveness 6 1.4 Performance, Quality, and
Reliability 7 1.5 Reliability and the System Life Cycle 8 1.6 Consequences
of Failure 12 1.7 Suppliers and Customers 16 1.8 Summary 16 Problems 17 2
Reliability Concepts 19 2.1 Basic Reliability Concepts 19 2.2 Hazard Rate
26 2.3 Percentiles Product Life 33 2.4 Moments of Time to Failure 35 2.5
Summary 39 Problems 40 3 Probability and Life Distributions for Reliability
Analysis 45 3.1 Discrete Distributions 45 3.2 Continuous Distributions 51
3.3 Probability Plots 77 3.4 Summary 83 Problems 84 4 Design for Six Sigma
89 4.1 What Is Six Sigma? 89 4.2 Why Six Sigma? 90 4.3 How Is Six Sigma
Implemented? 91 4.4 Optimization Problems in the Six Sigma Process 98 4.5
Design for Six Sigma 103 4.6 Summary 108 Problems 108 5 Product Development
111 5.1 Product Requirements and Constraints 112 5.2 Product Life Cycle
Conditions 113 5.3 Reliability Capability 114 5.4 Parts and Materials
Selection 114 5.5 Human Factors and Reliability 115 5.6 Deductive versus
Inductive Methods 117 5.7 Failure Modes, Effects, and Criticality Analysis
117 5.8 Fault Tree Analysis 119 5.9 Physics of Failure 128 5.10 Design
Review 131 5.11 Qualification 132 5.12 Manufacture and Assembly 134 5.13
Analysis, Product Failure, and Root Causes 137 5.14 Summary 138 Problems
138 6 Product Requirements and Constraints 141 6.1 Defi ning Requirements
141 6.2 Responsibilities of the Supply Chain 142 6.3 The Requirements
Document 144 6.4 Specifi cations 144 6.5 Requirements Tracking 146 6.6
Summary 147 Problems 147 7 Life-Cycle Conditions 149 7.1 Defining the
Life-Cycle Profile 149 7.2 Life-Cycle Events 150 7.3 Loads and Their
Effects 152 7.4 Considerations and Recommendations for LCP Development 160
7.5 Methods for Estimating Life-Cycle Loads 165 7.6 Summary 166 Problems
167 8 Reliability Capability 169 8.1 Capability Maturity Models 169 8.2 Key
Reliability Practices 170 8.3 Summary 175 Problems 175 9 Parts Selection
and Management 177 9.1 Part Assessment Process 177 9.2 Parts Management 185
9.3 Risk Management 188 9.4 Summary 190 Problems 191 10 Failure Modes,
Mechanisms, and Effects Analysis 193 10.1 Development of FMMEA 193 10.2
Failure Modes, Mechanisms, and Effects Analysis 195 10.3 Case Study 201
10.4 Summary 205 Problems 206 11 Probabilistic Design for Reliability and
the Factor of Safety 207 11.1 Design for Reliability 207 11.2 Design of a
Tension Element 208 11.3 Reliability Models for Probabilistic Design 209
11.4 Example of Probabilistic Design and Design for a Reliability Target
211 11.5 Relationship between Reliability, Factor of Safety, and
Variability 212 11.6 Functions of Random Variables 215 11.7 Steps for
Probabilistic Design 219 11.8 Summary 219 Problems 220 12 Derating and
Uprating 223 12.1 Part Ratings 223 12.2 Derating 225 12.3 Uprating 239 12.4
Summary 245 Problems 246 13 Reliability Estimation Techniques 247 13.1
Tests during the Product Life Cycle 247 13.2 Reliability Estimation 249
13.3 Product Qualifi cation and Testing 250 13.4 Case Study:
System-in-Package Drop Test Qualifi cation 263 13.5 Basic Statistical
Concepts 276 13.6 Confi dence Interval for Normal Distribution 279 13.7
Confidence Intervals for Proportions 282 13.8 Reliability Estimation and
Confidence Limits for Success-Failure Testing 283 13.9 Reliability
Estimation and Confidence Limits for Exponential Distribution 287 13.10
Summary 292 Problems 292 14 Process Control and Process Capability 295 14.1
Process Control System 295 14.2 Control Charts 299 14.3 Benefi ts of
Control Charts 316 14.4 Average Outgoing Quality 317 14.5 Advanced Control
Charts 323 14.6 Summary 325 Problems 326 15 Product Screening and Burn-In
Strategies 331 15.1 Burn-In Data Observations 332 15.2 Discussion of
Burn-In Data 333 15.3 Higher Field Reliability without Screening 334 15.4
Best Practices 335 15.5 Summary 336 Problems 337 16 Analyzing Product
Failures and Root Causes 339 16.1 Root-Cause Analysis Processes 341 16.2
No-Fault-Found 351 16.3 Summary 373 Problems 374 17 System Reliability
Modeling 375 17.1 Reliability Block Diagram 375 17.2 Series System 376 17.3
Products with Redundancy 381 17.4 Complex System Reliability 393 17.5
Summary 401 Problems 402 18 Health Monitoring and Prognostics 409 18.1
Conceptual Model for Prognostics 410 18.2 Reliability and Prognostics 412
18.3 PHM for Electronics 414 18.4 PHM Concepts and Methods 417 18.5
Monitoring and Reasoning of Failure Precursors 420 18.6 Implementation of
PHM in a System of Systems 429 18.7 Summary 431 Problems 431 19 Warranty
Analysis 433 19.1 Product Warranties 434 19.2 Warranty Return Information
435 19.3 Warranty Policies 436 19.4 Warranty and Reliability 437 19.5
Warranty Cost Analysis 439 19.6 Warranty and Reliability Management 448
19.7 Summary 449 Problems 449 Appendix A: Some Useful Integrals 451
Appendix B: Table for Gamma Function 453 Appendix C: Table for Cumulative
Standard Normal Distribution 455 Appendix D: Values for the Percentage
Points talpha,nu of the t-Distribution 457 Appendix E: Percentage Points
chi2alpha ,nu of the Chi-Square Distribution 461 Appendix F: Percentage
Points for the F-Distribution 467 Bibliography 473 Index 487