Applied Reliability for Industry 1

Abdelkhalak El Hami is Full Professor of Universities at INSA-Rouen-Normandie, France. He is the author/co-author of several books and is responsible for several European pedagogical projects. He is a specialist in fluid structure interaction and problems of optimization and reliability in multi-physical systems.David Delaux is Reliability Director at Valeo and Reliability Senior Expert. An Honorary Visiting Professor at Bradford University, UK, he is also a national auditor/assessor at COFRAC (ISO 17025), President of the European Campus of Statistics Statistical Analysis For Industry (SAFI), Expert for the European Innovation Council and President of the association ASTE. He is also the former President of the European Reliability Environmental Confederation (CEEES).Henri Grzeskowiak is a Technical Expert at Matra BAe Dynamics and MBDA (missile). He is also an auditor at COFRAC, Head of Department of Environmental Engineering (Matra & MBDA) as well as former President of the Standardization Committee for Mechanical & Climatic Environment (DGA) and of the association ASTE (France) and CEEES (Europe).

• Foreword xiPhilippe EUDELINEPreface xiiiAbdelkhalak EL HAMI, David DELAUX and Henri GRZESKOWIAKChapter 1 FIDES, a Method for Assessing and Building the Reliability of Electronic Systems 1Franck DAVENEL1.1 The inadequacy of existing methods 21.1.1 MIL-HDBK-217F 21.1.2 UTE-C-80810 (or RDF2000, or IEC 62380 TR Ed.1) 21.1.3 PRISM or 217plus 21.2 The ambition of FIDES 31.3 General presentation of the FIDES method 51.3.1 Failure rate 61.3.2 The structure of FIDES models 71.3.3 Physical models 81.3.4 The exploitation of manufacturer data 81.3.5 Exploiting databases of failure mechanisms (not failure rates) 91.3.6 Life profile 101.3.7 Other contributors 111.3.8 Sensitivity of FIDES models 131.3.9 Industrial applications 141.4 Validity of reliability studies with FIDES 141.5 Conclusion 161.6 References 18Chapter 2 Reliability in Maritime Transport: Choosing a Container Handling System 19Julien RULLIER, Benjamin ECHARD and Ghislaine DELAPAYRE2.1 Introduction 192.2 Proposed case study 202.3 Inputs of the RAMS approach 222.3.1 Presentation of the system 222.3.2 Component reliability data 252.3.3 Reliability of carabiners over time 252.4 Assessment of the system’s RAMS 312.4.1 Reliability assessment 312.4.2 Assessment of the intrinsic availability 322.4.3 Maintainability assessment 332.4.4 Safety assessment 332.5 Conclusion 552.5.1 FMECA or fault trees, how to choose? 552.5.2 Pitfalls to avoid 572.5.3 Note on low reliability targets in innovative systems 592.6 General conclusion 592.7 References 60Chapter 3 Generation of a Failure Model through Probabilistic "Stress--Strength" Interaction in a Context of Poor Information 61Lambert PIERRAT3.1 Introduction 613.2 Aims and objectives 623.3 Choosing types of legislation 633.3.1 Principle of maximum entropy 633.3.2 The strength distribution 643.3.3 The law of constraint 653.3.4 Relationship between the two laws 663.4 Probability of failure 673.4.1 Formulation 673.4.2 Analytical solution 683.4.3 Parametric expression 693.5 Safety factor 693.5.1 Simplified expressions 703.5.2 Validity limits 703.6 Validation and applications 723.6.1 Comparative analyses 723.6.2 Applications 753.7 Conclusion and extensions 793.8 References 79Chapter 4 Reliable Optimization of Dental Implants Using the Generalized Polynomial Chaos Method 83Fatma ABID, Abdelkhalak EL HAMI, Tarek MERZOUKI, Hassen TRABELSI, Lassaad WALHA and Mohamed HADDAR4.1 Introduction 834.2 Stochastic approach 844.2.1 The MC method 844.2.2 The GPC method 854.3 Deterministic design optimization 864.4 Reliability-based design optimization 874.4.1 The classic method 884.4.2 OSF using GPC 894.5 Numerical result 914.5.1 2D dental implant 914.6 Conclusion 964.7 References 96Chapter 5 Multi-objective Reliability Optimization Based on Substitution Models Applied Case Study of a Hip Prosthesis 101Khalil DAMMAK and Abdelkhalak EL HAMI5.1 Introduction 1015.2 Description of metamodeling methods 1035.2.1 Application of a substitution model 1035.2.2 Construction of a metamodel 1045.2.3 Validation of metamodels 1105.3 Optimization of multi-objective design 1115.3.1 Deterministic MOO 1115.3.2 Reliability-based multi-objective design optimization 1135.4 RBMDO based on hip prosthesis surrogate models 1145.4.1 Deterministic simulation using the finite element method 1145.4.2 Construction of substitution models 1165.4.3 Optimization of multi-objective design based on reliability 1185.5 Conclusion 1215.6 References 122Chapter 6 CMA-ES Assisted by the Kriging Metamodel for the Optimization of Thermomechanical Performances of Mechatronic Packaging 129Hamid HAMDANI, Bouchaib RADI and Abdelkhalak EL HAMI6.1 Introduction 1306.2 Presentation of the system under study 1316.2.1 The case of wire bonding 1336.2.2 The case of solder joints 1336.3 Thermal fatigue models of solder joints 1356.3.1 The Coffin--Manson model 1366.3.2 The Morrow model 1376.3.3 The Coffin--Manson frequency-modified model 1386.3.4 The Morrow frequency-modified model 1386.3.5 The Darveaux model 1386.4 Modeling and finite element analysis of the PQFP housing 1396.4.1 Modeling 1396.4.2 Material properties 1416.4.3 Thermal load 1426.4.4 Fatigue model selected for solder joints 1436.4.5 Numerical results 1446.5 Evolutionary strategies 1456.5.1 Presentation of evolutionary strategies 1456.5.2 Principles of ESs 1466.5.3 Covariance matrix adaptation evolution strategy 1466.5.4 Metamodeling techniques 1516.5.5 Kriging-assisted CMA-ES 1546.6 Global optimization of the PQFP housing solder joints 1586.6.1 Formulation of the problem 1586.6.2 Numerical simulations 1606.7 Conclusion 1626.8 References 164Chapter 7 Reliable Optimization of Vibro-acoustic Problems in the Presence of Uncertainties via Polynomial Chaos 171Khalil DAMMAK and Abdelkhalak EL HAMI7.1 Introduction 1717.2 Robust approaches to uncertainty propagation 1727.2.1 The Monte Carlo method 1727.2.2 Generalized polynomial chaos 1747.3 Structural optimization 1807.3.1 Formulation of the optimization problem 1807.3.2 Deterministic design optimization 1817.3.3 Reliability design optimization 1827.4 OSF method coupled with GPC applied to vibro-acoustic systems in the presence of uncertainties 1877.4.1 Deterministic model 1917.4.2 Probabilistic analysis 1937.4.3 OSF method coupled with GPC 1947.5 Conclusion 1977.6 References 197List of Authors 205Index 207Summaries of other volumes 211