دانلود کتاب Applied Reliability for Industry, Volume 2: Experimental Reliability for the Automobile, Aeronautics, Defense, Medical, Marine and Space Industries

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Cover
Title Page
Copyright Page
Contents
Foreword
Preface
Chapter 1. Aggravated Testing
1.1. Introduction to aggravated (or highly accelerated) testing
1.2. Background
1.3. General approach
1.3.1. Robustness and reliability
1.4. Types of products affected by aggravated tests
1.5. Aeronautical sector example: effect of aging on the SOA (safe operating area)
1.6. Typology of precipitated defects in HALT tests
1.7. Carrying out tests with HALT machine’s pneumatic hammers: inherent particularities and precautions
1.8. Comparing vibration fatigue of HALT versus ALT testing
1.8.1. Presentation of the adopted approach
1.8.2. The fatigue damage spectrum
1.8.3. Automotive case study: inverter/converter failure
1.8.4. Comparison of accelerated and aggravated tests
1.8.5. The standards
1.9. References
Chapter 2. Fatigue Damage Analysis and Reliability Optimization of Structures Subjected to Random Vibrations
2.1. Introduction
2.2. Fatigue damage analysis
2.2.1. Formulations and developments
2.2.2. Fatigue damage analysis strategy
2.3. Reliability optimization of structures subjected to random vibrations
2.3.1. Deterministic design optimization
2.3.2. Reliability-based design optimization
2.3.3. Reliability optimization of structures subjected to random vibrations
2.4. Applications
2.4.1. Description of the problem
2.4.2. Results and discussion
2.5. Conclusion
2.6. References
Chapter 3. Accelerated Testing
3.1. The different types of tests
3.1.1. The calculations
3.1.2. The simulations
3.1.3. The tests
3.1.4. Links between the three types of demonstrations
3.2. General information on accelerated testing
3.2.1. The experimental models
3.2.2. Statistical models
3.2.3. The physical models
3.3. The principle, methodology and implementation of accelerated testing
3.3.1. Definition and key concepts
3.3.2. Evaluating the predictive reliability of a system by performing tests
3.3.3. Accelerated tests (based on the physical model): example of temperature acceleration
3.3.4. Evaluating the predicted reliability of a system in relation to an imposed lifetime and environmental constraints
3.3.5. Humid heat
3.3.6. Temperature
3.3.7. Multi-stress laws
3.3.8. Accelerated testing in practice
3.3.9. Reliability assessment for wear-and-tear related failure mechanisms
3.3.10. Conclusion of section
3.4. The different phases of building a reliability validation plan
3.5. Development of a corrosion environment test for automotive heat exchangers
3.6. Accelerated testing standards
3.7. Conclusion
3.8. References
Chapter 4. Collection of Standards NF 50-144-1 to 6: The Consideration of Environment in the Product Lifecycle
4.1. Introduction
4.2. Presentation of AFNOR NF 50-144-1 to 6
4.3. Focus on NF X50-144-3
4.3.1. The four steps of the methodology
4.3.2. Focus on step 3: the DBM
4.3.3. Focus on step 3: illustrations of the disjointed blocks method
4.3.4. Example of test customization for the A400 M aircraft
4.5. References
Chapter 5. Development of Vibration Specifications for Powertrain Components
5.1. Introduction
5.1.1. Combustion engine vibration
5.2. Types of vibration signals for validation testing
5.2.1. Conventional signals used in the automotive industry
5.2.2. Validation tests for engine mounted heat exchangers
5.2.3. Recent developments: customizing vibration specifications
5.2.4. The FFT method: test signal in PSD form and sinusoidal sweep
5.2.5. The customized test method
5.3. Case study: vibratory specification for a water-cooled WCAC
5.3.1. Vibration signals: PSD and sinusoidal sweep
5.4. Development of a signal more representative of the real-world environment
5.4.1. Multi-sine sweeps over noise
5.4.2. Comparison with existing methods
5.4.3. Subsequent work
5.5. References
Chapter 6. Improving Accelerated Reliability Testing by Using Optimized Signals
6.1. Introduction
6.2. General considerations
6.2.1. Multi-sine signals
6.3. Kurtosis and CF
6.3.1. Kurtosis
6.3.2. Crest factor
6.4. Optimization of multi-sine pseudo-random signals
6.4.1. Controlling the CF by optimizing the phase shifts
6.4.2. Preliminary treatment
6.4.3. Analytical determination
6.4.4. Numerical methods
6.4.5. Stochastic distribution of signals with low CF
6.4.6. Use of optimized low-peak signals for environmental testing
6.4.7. Kurtosis control through non-linear manipulation
6.4.8. Duality between kurtosis and CF
6.5. Damage assessment
6.5.1. Fatigue damage spectrum
6.5.2. Reducing the test duration
6.5.3. Influence of signal optimization in damage assessment
6.6. Conclusion
6.7. References
List of Authors
Index
Summaries of other volumes
EULA