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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 | |
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