Fracture Mechanics 3

This third book of a 3-volume set on Fracture Mechanics adds a pragmatic and supportive character to the previous volumes by focusing on case studies using corrected exercises that teachers, students or engineers will find extremely useful. Due to the wide themes approached in this series, it can also be used to organize work in this field in a new way, as well as in the maintenance of industrial plants.Several cases of sampling plans and their applications in industry are presented, as well as several solved case studies on the main indicators of capability according to ISO/TS 16949, ISO 8258 and FORD.This book distinguishes itself from other works in the field through its originality in presenting an educational approach which aims at helping practitioners both in academia and industry. It is intended for technicians, engineers, designers, students, and teachers working in the fields of engineering and vocational education. The main objective of the author is to provide an assessment of indicators of quality and reliability to aid in decision-making. To this end, an intuitive and practical approach, based on mathematical rigor, is recommended.

Auteur

Ammar Grous is Teacher of Mechanical Engineering at CéGEP de l'Outaouais (Academic College), Gatineau, Quebec, Canada.

Contenu
Preface ix

Glossary xvii

Chapter 1. Quality Control 1

1.1. Introduction to statistical process control 1

1.2. Classical tolerancing and quality control 4

1.2.1. ISO norms in quality control 5

1.2.2. QS9000 approach 6

1.2.3. Capabilities of CNOMO E41.36.110.N control means 8

1.2.4. Some capability indicators according to ISO/TS 16949, ISO 8258 and FORD 10

1.2.5. Metrological audits 11

1.3. The Pareto law ABC method 14

1.3.1. Practical application 17

1.3.2. Malfunction spread over 16 so-called nevralgic points 18

1.4. Lot inspection by attributes 18

1.4.1. Areas on which lot inspection operates 18

1.4.2. (np) chart for controlling the number of defects 20

1.4.3. (c) card to control the number of defects 20

1.4.4. Average lot quality after control 23

1.4.5. Choosing a sample plan 32

1.4.6. Wald plan case study 34

1.4.7. Average long-term controlled quantity 37

1.4.8. Case study of a simple sampling plan 42

1.4.9. Poisson distribution of cumulative probabilities 43

1.5. Theoretical basics of control by measurement 46

1.5.1. Choosing a simple sampling plan 47

1.5.2. Choosing a simple or double sampling plan 48

1.6. Analysis of process capability 49

1.6.1. Capability indices for a normally distributed variable: X (, ) 51

1.6.2. Machine capability Cm and Cmk 55

1.7. Capability for a non-normal distribution 56

1.8. Control by measurement charts 57

1.8.1. Size of the samples to be taken and the frequency of control 60

1.8.2. Factor for control of X (mean) and range (R) 63

1.9. Production and reception control 64

1.9.1. Machine adaptation with respect to production tolerances 64

1.9.2. Proportion of faulty units 65

1.10. Control charts 68

1.10.1. Control by measurements charts for the mean and the range R 69

1.10.2. Calculating control limits and case study 70

1.10.3. Study of /R control charts quality control lab 72

1.10.4. Graphical representation of the rejections due to non-conformity to TI 78

1.10.5. Performance case study: Capabilities 80

1.10.6. Calculating machine capability indices: Cm and Cmk 84

1.11. Conclusion 85

1.12. Bibliography 85

Chapter 2. Quality Control Case Studies 87

2.1. The tools of quality, as per W. Deming 87

2.2. Failure modes, effects and criticality analysis 88

2.3. Total productive maintenance method 88

2.4. The LMMEM 5M process method 93

2.5. Estimations of times in mechanical productions (machining) 94

2.5.1. Optimizing times and costs in mechanical production 98

2.6. Stock management and supply methods 111

2.6.1. Hypothesis of a general method to improve stock management 113

2.7. Short summary of control charts 116

2.7.1. The various control charts 117

2.7.2. Measurement control charts stability control charts (Shewhart) 118

2.7.3. Estimating 0 and 0 119

2.7.4. Efficiency chart of the average 120

2.7.5. Control chart by attributes determining the limits 121

2.8. CUSUM charts 123

2.8.1. EWM charts 124

2.8.2. Shewhart charts for the average, the range R and the standard deviation (s) 126

2.8.3. Control charts for the average and the range R 127

2.9. Individual control charts 130

2.9.1. Average lengths or CUSUM-Run 132

2.10. EWMA statistics comparison between Shewhart graph control and the EWMA chart control techniques 133

2.10.1. Poisson normal distribution approximation 138

2.10.2. Decision limits of the X / R control chart through the SPC method 141

2.11. Main statistical tests used in quality control 144

2.11.1. So-called Henry Line or probability diagram test 144

2.12. Partial conclusion 149

2.13. Bibliography 149 **Chapter 3. Case Studies 153&l...