Robust Design Methodology for Reliability

The contributions of Exploring Unreliability and Its Countermeasures aim to address reliability problems in a constructive manner and offer a comprehensive design theory for reliability utilizing robust design methodology and six sigma frameworks. They advocate testing for robustness in the early stages of product design development, and consider varying uncertainties that are sometimes inherent in model assumptions for design solutions but which should not affect the system solution. Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process but often these initiatives do not explicitly describe the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with vivid illustrations from real - world problems. Advocates a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation management. Includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering. Takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work. Includes case studies and illustrative examples from real-world problems that translate the theory into practice

Bo Bergman has held the post of SKF professor at the Department of Quality Sciences at Chalmers University of Technology, Sweden since 1999. From 1983 to 1999 he was Professor of Quality Technology and Management at Linköping University, where he was responsible for the creation of education and research in the quality field, and previous to this he held varying engineering and managerial positions in the fields of reliability, quality and statistics at Saab Aerospace. His research interests cover wide areas of quality of both a quantitative and a qualitative nature. He has authored more than 50 papers in international scientific journals and has authored and co-authored a number of books — including new, completely revised English versions of Quality from Customer Needs to Customer Satisfaction and Six Sigma; the Pragmatic Approach.

Jacques Demaré has held the post of Professor of Mathematical Statistics at Chalmers University of Technology since 1999. The focus of his work has been on both chemical and mechanical applications and he is currently working with statistical methods for material fatigue in co-operation with the Swedish National Testing and Research Institute. At Chalmers he has also worked in different ways to bring the mathematical and engineering disciplines closer together.

Thomas Svensson is a research engineer at the Technical Research Institute of Sweden (SP). He obtained his PhD in Fatigue Life Prediction in Service — A Statistical Approach in 1996, and is a member of the editorial board of Fatigue and Fracture of Engineering Materials and Structures.

Preface
Acknowledgements
About the Editors
Contributors
Methodology
Introduction
Background
Failure Mode Avoidance
Robust Design
Comments and Suggestions for Further Reading
References
Evolution of Reliability Thinking - Countermeasures for Some Technical Issues
Introduction
Method
An Overview of the Initial Development of Reliability Engineering
Examples of Technical Issues and Reliability Countermeasures
Discussion and Future Research
Summary and Conclusions
References
Principles of Robust Design Methodology
Introduction
Method
Results and Analysis
Discussion
Conclusions
References
Methods
Including Noise Factors in Design Failure Mode and Effect Analysis (D-FMEA) - A Case Study at Volvo Car Corporation
Introduction
Background
Method
Result
Discussion and Further Research
Summary
References
Robust Product Development Using Variation Mode and Effect Analysis
Introduction
Overview of the VMEA Method
The Basic VMEA
The Enhanced VMEA
The Probabilistic VMEA
An Illustrative Example
Discussion and Concluding Remarks
Appendix: Formal Justification of the VMEA Method
References
Variation Mode and Effect Analysis: An Application to Fatigue Life Prediction
Introduction
Scatter and Uncertainty
A Simple Approach to Probabilistic VMEA
Estimation of Prediction Uncertainty
Reliability Assessment
Updating the Reliability Calculation
Conclusions and Discussion
References
Predictive Safety Index for Variable Amplitude Fatigue Life
Introduction
The Load-Strength Reliability Method
The Equivalent Load and Strength Variables
Reliability Indices
The Gauss Approximation Formula
The Uncertainty Due to the Estimated Exponent ß
The Uncertainty Measure of Strength
The Uncertainty Measure of Load
The Predictive Safety Index
Discussion
Appendix
References
Monte Carlo Simulation versus Sensitivity Analysis
Introduction
Transfer Function
Example from an Industrial Context
Highly Nonlinear Transfer Function
Total Variation for Logarithmic Life
Conclusions
References
Modelling
Model Complexity Versus Scatter in Fatigue
Introduction
A Statistical Model
Design Concepts
A Crack Growth Model
Partly Measurable Variables
Conclusions
References
Choice of Complexity in Constitutive Modelling of Fatigue Mechanisms
Background
Questions
Method
Empirical Modelling
A Polynomial Example
A General Linear Formulation
A Fatigue Example
References
Interpretation of Dispersion Effects in a Robust Design Context
Introduction
Dispersion Effects
Discussion
References
Fatigue Damage Uncertainty
Introduction
Fatigue Review
Probability for Fatigue Failure - Safety Index
Computation of E [D(T) k] and V [D(T) k]
Non Gaussian Loads - Examples
References
Widening the Perspectives
Background
Additional Engineering Perspectives on Reliability
Organizational Perspectives on Reliability
Industrialization of Robust Design Methodology
Adoptions of Fatigue Reliability Methodology
Learning for the Future
References
List of Abbreviations
Index
Table of Contents provided by Publisher. All Rights Reserved.

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Robust Design Methodology for Reliability Exploring the Effects of Variation and Uncertainty

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Table of Contents

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