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Applied Quality Control: Fracture Mechanics, Volume 3 (Iste)

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Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This volume is mainly centered on a vast range of the laws of statistical distributions met in diverse scientific and technical domains. These laws are indispensable to understand the probability behavior of components and mechanical structures exploited in quality control. We present not only the laws of distribution of diverse models but also the tests of adequacy suited to confirm or counter the hypothesis of the law in question, namely the tests of Pearson (??2), of Kolmogorov-Smirnov (KS) and many other relevant tests. This volume distinguishes itself from the other bibliographical works by its originality to present an educational approach which aims at helping the users both in the specialized schools and in the industry. We also present several cases of sampling plans and its applications in the industries. In plus, we added several solved case of studies upon The main indicators of capability according to ISO / TS 16949, ISO 8258 and FORD.

Table of Contents

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 (μ, σ)    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 μ0 and σ0    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

3.1. Quality control case study: calculating and plotting efficiency curves in simple/double control  153

3.1.1. Simple binomial distribution   153

3.1.2. Calculation results     154

3.2. Calculating the efficiency curves of simple/double control  156

3.2.1. Calculation results     157

3.3. Calculating efficiency curves in double control: binomial distribution, double efficiency plan (Excel version)   159

3.3.1. Calculation results     159

3.4. Progressive control (Excel)  160

3.4.1. Calculating the acceptance and refusal curves in progressive control    160

3.4.2. Calculation results 161

3.4.3. Graph    162

3.4.4. Measurement acceptance test when sigma (σ*) is known 163

3.4.5. Determining the efficiency curve and the acceptance limits 163

3.4.6. Acceptance: known standard deviation, sigma = 0.01   164

3.4.7. Measurement acceptance test when sigma* (SD) is known  165

3.4.8. Choosing a plan   166

3.4.9. Plot (Excel)    167

3.5. R&R study in quality control and dimensional metrology 168

3.5.1. R&R (EV Repeatability and AR reproducibility)    168

3.5.2. R&R study    169

3.6. X/S control chart study (average and standard deviation, σ )  173

3.7. Case study: capability of a specific control method    178

3.7.1. Measurements from a digital micrometer    178

3.7.2. Definition drawing or clear picture   178

3.7.3. Table of the measurements taken using a digital micrometer (directly read the value from Caliper)   179

3.7.4. Table of calculation results (Excel and MathCAD)   180

3.8. Case study on type A and B uncertainties  181

3.8.1. Uncertainties guide to the expression of uncertainties in measurements (GUM) 181

3.8.2. Estimating the compound uncertainty UC    184

3.9. Case study: uncertainties    184

3.9.1. Uncertainty study as per GUM    185

3.9.2. Graph    200

3.10. Conclusion   200

3.11. Bibliography    201

Appendix 203

Index   257

Product Details

ISBN:
9781118580158
Subtitle:
Fracture Mechanics 3
Publisher:
Wiley-ISTE
Author:
Grous, Ammar
Subject:
Material Science
Subject:
Corrosion
Subject:
Materials Science-General
Subject:
Applied Quality Control, Fracture Mechanics, Statistical Process Control, Classical Tolerancing and Quality Control, Analysis of Process Capability, Control by Measurement Charts, Production and Reception Control
Copyright:
Edition Description:
WOL online Book (not BRO)
Series:
ISTE
Series Volume:
Fracture Mechanics,
Publication Date:
20130130
Binding:
Electronic book text in proprietary or open standard format
Language:
English

Related Subjects

Science and Mathematics » Materials Science » General

Applied Quality Control: Fracture Mechanics, Volume 3 (Iste)
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Product details pages Wiley-Iste - English 9781118580158 Reviews:
"Synopsis" by , This volume is mainly centered on a vast range of the laws of statistical distributions met in diverse scientific and technical domains. These laws are indispensable to understand the probability behavior of components and mechanical structures exploited in quality control. We present not only the laws of distribution of diverse models but also the tests of adequacy suited to confirm or counter the hypothesis of the law in question, namely the tests of Pearson (??2), of Kolmogorov-Smirnov (KS) and many other relevant tests. This volume distinguishes itself from the other bibliographical works by its originality to present an educational approach which aims at helping the users both in the specialized schools and in the industry. We also present several cases of sampling plans and its applications in the industries. In plus, we added several solved case of studies upon The main indicators of capability according to ISO / TS 16949, ISO 8258 and FORD.
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