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Analysis of reliability and quality control [[electronic resource] /] / Ammar Grous
| Analysis of reliability and quality control [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (273 p.) |
| Disciplina | 620.0045 |
| Collana |
Fracture mechanics
Mechanical engineering and solid mechanics series |
| Soggetto topico |
Production management - Quality control
Reliability (Engineering) |
| ISBN |
1-118-58000-1
1-118-58012-5 1-118-58013-3 1-299-18690-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Contents; Preface; Chapter 1. Elements of Analysis of Reliability and Quality Control; 1.1. Introduction; 1.1.1. The importance of true physical acceleration life models (accelerated tests = true acceleration or acceleration); 1.1.2. Expression for linear acceleration relationships; 1.2. Fundamental expression of the calculation of reliability; 1.3. Continuous uniform distribution; 1.3.1. Distribution function of probabilities (density of probability); 1.3.2. Distribution function; 1.4. Discrete uniform distribution (discrete U); 1.5. Triangular distribution
1.5.1. Discrete triangular distribution version1.5.2. Continuous triangular law version; 1.5.3. Links with uniform distribution; 1.6. Beta distribution; 1.6.1. Function of probability density; 1.6.2. Distribution function of cumulative probability; 1.6.3. Estimation of the parameters (p, q) of the beta distribution; 1.6.4. Distribution associated with beta distribution; 1.7. Normal distribution; 1.7.1. Arithmetic mean; 1.7.2. Reliability; 1.7.3. Stabilization and normalization of variance error; 1.8. Log-normal distribution (Galton); 1.9. The Gumbel distribution 1.9.1. Random variable according to the Gumbel distribution (CRV, E1 Maximum)1.9.2. Random variable according to the Gumbel distribution (CRV E1 Minimum); 1.10. The Frechet distribution (E2 Max); 1.11. The Weibull distribution (with three parameters); 1.12. The Weibull distribution (with two parameters); 1.12.1. Description and common formulae for the Weibull distribution and its derivatives; 1.12.2. Areas where the extreme value distribution model can be used; 1.12.3. Risk model; 1.12.4. Products of damage; 1.13. The Birnbaum-Saunders distribution 1.13.1. Derivation and use of the Birnbaum-Saunders model1.14. The Cauchy distribution; 1.14.1. Probability density function; 1.14.2. Risk function; 1.14.3. Cumulative risk function; 1.14.4. Survival function (reliability); 1.14.5. Inverse survival function; 1.15. Rayleigh distribution; 1.16. The Rice distribution (from the Rayleigh distribution); 1.17. The Tukey-lambda distribution; 1.18. Student's (t) distribution; 1.18.1. t-Student's inverse cumulative function law (T); 1.19. Chi-square distribution law (χ2); 1.19.1. Probability distribution function of chi-square law (χ2) 1.19.2. Probability distribution function of chi-square law (χ2)1.20. Exponential distribution; 1.20.1. Example of applying mechanics to component lifespan; 1.21. Double exponential distribution (Laplace); 1.21.1. Estimation of the parameters; 1.21.2. Probability density function; 1.21.3. Cumulated distribution probability function; 1.22. Bernoulli distribution; 1.23. Binomial distribution; 1.24. Polynomial distribution; 1.25. Geometrical distribution; 1.25.1. Hypergeometric distribution (the Pascal distribution) versus binomial distribution 1.26. Hypergeometric distribution (the Pascal distribution) |
| Record Nr. | UNINA-9910138858003321 |
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of reliability and quality control [[electronic resource] /] / Ammar Grous
| Analysis of reliability and quality control [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (273 p.) |
| Disciplina | 620.0045 |
| Collana |
Fracture mechanics
Mechanical engineering and solid mechanics series |
| Soggetto topico |
Production management - Quality control
Reliability (Engineering) |
| ISBN |
1-118-58000-1
1-118-58012-5 1-118-58013-3 1-299-18690-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Contents; Preface; Chapter 1. Elements of Analysis of Reliability and Quality Control; 1.1. Introduction; 1.1.1. The importance of true physical acceleration life models (accelerated tests = true acceleration or acceleration); 1.1.2. Expression for linear acceleration relationships; 1.2. Fundamental expression of the calculation of reliability; 1.3. Continuous uniform distribution; 1.3.1. Distribution function of probabilities (density of probability); 1.3.2. Distribution function; 1.4. Discrete uniform distribution (discrete U); 1.5. Triangular distribution
1.5.1. Discrete triangular distribution version1.5.2. Continuous triangular law version; 1.5.3. Links with uniform distribution; 1.6. Beta distribution; 1.6.1. Function of probability density; 1.6.2. Distribution function of cumulative probability; 1.6.3. Estimation of the parameters (p, q) of the beta distribution; 1.6.4. Distribution associated with beta distribution; 1.7. Normal distribution; 1.7.1. Arithmetic mean; 1.7.2. Reliability; 1.7.3. Stabilization and normalization of variance error; 1.8. Log-normal distribution (Galton); 1.9. The Gumbel distribution 1.9.1. Random variable according to the Gumbel distribution (CRV, E1 Maximum)1.9.2. Random variable according to the Gumbel distribution (CRV E1 Minimum); 1.10. The Frechet distribution (E2 Max); 1.11. The Weibull distribution (with three parameters); 1.12. The Weibull distribution (with two parameters); 1.12.1. Description and common formulae for the Weibull distribution and its derivatives; 1.12.2. Areas where the extreme value distribution model can be used; 1.12.3. Risk model; 1.12.4. Products of damage; 1.13. The Birnbaum-Saunders distribution 1.13.1. Derivation and use of the Birnbaum-Saunders model1.14. The Cauchy distribution; 1.14.1. Probability density function; 1.14.2. Risk function; 1.14.3. Cumulative risk function; 1.14.4. Survival function (reliability); 1.14.5. Inverse survival function; 1.15. Rayleigh distribution; 1.16. The Rice distribution (from the Rayleigh distribution); 1.17. The Tukey-lambda distribution; 1.18. Student's (t) distribution; 1.18.1. t-Student's inverse cumulative function law (T); 1.19. Chi-square distribution law (χ2); 1.19.1. Probability distribution function of chi-square law (χ2) 1.19.2. Probability distribution function of chi-square law (χ2)1.20. Exponential distribution; 1.20.1. Example of applying mechanics to component lifespan; 1.21. Double exponential distribution (Laplace); 1.21.1. Estimation of the parameters; 1.21.2. Probability density function; 1.21.3. Cumulated distribution probability function; 1.22. Bernoulli distribution; 1.23. Binomial distribution; 1.24. Polynomial distribution; 1.25. Geometrical distribution; 1.25.1. Hypergeometric distribution (the Pascal distribution) versus binomial distribution 1.26. Hypergeometric distribution (the Pascal distribution) |
| Record Nr. | UNINA-9910822447903321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied mechanical design / / Ammar Grous
| Applied mechanical design / / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (509 pages) : illustrations (some color) |
| Disciplina | 621 |
| Collana | Systems and Industrial Engineering Series |
| Soggetto topico | Mechanical engineering |
| ISBN |
1-119-13768-3
1-119-13767-5 1-119-13765-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910270900103321 |
|
Grous Ammar
|
||
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied mechanical design / / Ammar Grous
| Applied mechanical design / / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (509 pages) : illustrations (some color) |
| Disciplina | 621 |
| Collana | Systems and Industrial Engineering Series |
| Soggetto topico | Mechanical engineering |
| ISBN |
1-119-13768-3
1-119-13767-5 1-119-13765-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910810898703321 |
|
Grous Ammar
|
||
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied metrology for manufacturing engineering [[electronic resource] /] / Ammar Grous
| Applied metrology for manufacturing engineering [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (695 p.) |
| Disciplina |
670
670.42 |
| Collana | Instrumentation and measurement series |
| Soggetto topico |
Manufacturing processes
Metrology Tolerance (Engineering) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-62255-3
1-299-31553-4 1-118-62256-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; 2.2.5. Dimensioning according to ANSI and CSA; Chapter 1. Fundamentals of Error Analysis and their Uncertainties in Dimensional Metrology Applied to Science and Technology; 1.1. Introduction to uncertainties in dimensional metrology; 1.2. Definition of standards; 1.3. Definition of errors and uncertainties in dimensional metrology; 1.3.1. What is the difference between error and uncertainty?; 1.3.2. Why make a calculation of errors' uncertainty?; 1.3.3. Reminder of basic errors and uncertainties
1.3.4. Properties of uncertainty propagation1.3.5. Reminder of random basic variables and their functions; 1.3.6. Properties of random variables of common functions; 1.4. Errors and their impact on the calculation of uncertainties; 1.4.1. Accidental or fortuitous errors; 1.4.2. Systematic errors; 1.4.3. Errors due to apparatus; 1.4.4. Errors due to the operator; 1.4.5. Errors due to temperature differences; 1.4.6. Random errors; 3.10.5. Measurement of screw threads by three-wire method; 1.5. Applications based on errors in dimensional metrology; 1.5.1. Absolute error δ = Ea 1.5.2. Relative error δ = Er1.5.3. Systematic error; 1.5.4. Accidental error (fortuitous error); 1.5.5. Expansion effect on a bore/shaft assembly; 1.6. Correction of possible measurement errors; 1.6.1. Overall error and uncertainty; 1.6.2. Uncertainty due to calibration methods; 1.6.3. Capability of measuring instruments; 1.7. Estimation of uncertainties of measurement errors in metrology; 1.7.1. Definitions of simplified equations of uncertainty measurements; 1.7.2. Issue of mathematical statistics evaluation of uncertainties in dimensional metrology 1.7.3. Uncertainty range, coverage factor k and range of relative uncertainty1.8. Approaches for determining type A and B uncertainties according to the GUM; 1.8.1. Introduction; 1.8.2. Properties; 1.8.3. Brief description of type-A uncertainty evaluation method; 1.8.4. Type-B uncertainty methods; 1.9. Principle of uncertainty calculation: types A and B; 1.9.1. Error on the repeated measure: calculation of compound standard uncertainty; 1.9.2. Applications on the laboratory calculations of uncertainties; 1.9.3. Simplified models for the calculations of measurement uncertainties 1.9.4. Laboratory model of dimensional metrology1.9.5. Measurement uncertainty evaluation discussion; 1.9.6. Contribution of the GUM in dimensional metrology; 1.10. Summary; 1.11. Bibliography; Chapter 2. Fundamentals of Dimensional and Geometrical Tolerances According to ISO, CSA (Canada), and ANSI (USA; 2.1. Introduction to geometrical products specification; 2.2. Dimensional tolerances and adjustments; 2.2.1. Adjustments with clearance: Ø80 H8/f7; 2.2.2. Adjustments with uncertain clearance: Ø80 H7/k6; 2.2.3. Adjustments with clamping or interference 2.2.4. Approach for the calculation of an adjustment with clearance |
| Record Nr. | UNINA-9910139244203321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied metrology for manufacturing engineering [[electronic resource] /] / Ammar Grous
| Applied metrology for manufacturing engineering [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (695 p.) |
| Disciplina |
670
670.42 |
| Collana | Instrumentation and measurement series |
| Soggetto topico |
Manufacturing processes
Metrology Tolerance (Engineering) |
| ISBN |
1-118-62255-3
1-299-31553-4 1-118-62256-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; 2.2.5. Dimensioning according to ANSI and CSA; Chapter 1. Fundamentals of Error Analysis and their Uncertainties in Dimensional Metrology Applied to Science and Technology; 1.1. Introduction to uncertainties in dimensional metrology; 1.2. Definition of standards; 1.3. Definition of errors and uncertainties in dimensional metrology; 1.3.1. What is the difference between error and uncertainty?; 1.3.2. Why make a calculation of errors' uncertainty?; 1.3.3. Reminder of basic errors and uncertainties
1.3.4. Properties of uncertainty propagation1.3.5. Reminder of random basic variables and their functions; 1.3.6. Properties of random variables of common functions; 1.4. Errors and their impact on the calculation of uncertainties; 1.4.1. Accidental or fortuitous errors; 1.4.2. Systematic errors; 1.4.3. Errors due to apparatus; 1.4.4. Errors due to the operator; 1.4.5. Errors due to temperature differences; 1.4.6. Random errors; 3.10.5. Measurement of screw threads by three-wire method; 1.5. Applications based on errors in dimensional metrology; 1.5.1. Absolute error δ = Ea 1.5.2. Relative error δ = Er1.5.3. Systematic error; 1.5.4. Accidental error (fortuitous error); 1.5.5. Expansion effect on a bore/shaft assembly; 1.6. Correction of possible measurement errors; 1.6.1. Overall error and uncertainty; 1.6.2. Uncertainty due to calibration methods; 1.6.3. Capability of measuring instruments; 1.7. Estimation of uncertainties of measurement errors in metrology; 1.7.1. Definitions of simplified equations of uncertainty measurements; 1.7.2. Issue of mathematical statistics evaluation of uncertainties in dimensional metrology 1.7.3. Uncertainty range, coverage factor k and range of relative uncertainty1.8. Approaches for determining type A and B uncertainties according to the GUM; 1.8.1. Introduction; 1.8.2. Properties; 1.8.3. Brief description of type-A uncertainty evaluation method; 1.8.4. Type-B uncertainty methods; 1.9. Principle of uncertainty calculation: types A and B; 1.9.1. Error on the repeated measure: calculation of compound standard uncertainty; 1.9.2. Applications on the laboratory calculations of uncertainties; 1.9.3. Simplified models for the calculations of measurement uncertainties 1.9.4. Laboratory model of dimensional metrology1.9.5. Measurement uncertainty evaluation discussion; 1.9.6. Contribution of the GUM in dimensional metrology; 1.10. Summary; 1.11. Bibliography; Chapter 2. Fundamentals of Dimensional and Geometrical Tolerances According to ISO, CSA (Canada), and ANSI (USA; 2.1. Introduction to geometrical products specification; 2.2. Dimensional tolerances and adjustments; 2.2.1. Adjustments with clearance: Ø80 H8/f7; 2.2.2. Adjustments with uncertain clearance: Ø80 H7/k6; 2.2.3. Adjustments with clamping or interference 2.2.4. Approach for the calculation of an adjustment with clearance |
| Record Nr. | UNINA-9910830380503321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied metrology for manufacturing engineering [[electronic resource] /] / Ammar Grous
| Applied metrology for manufacturing engineering [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (695 p.) |
| Disciplina |
670
670.42 |
| Collana | Instrumentation and measurement series |
| Soggetto topico |
Manufacturing processes
Metrology Tolerance (Engineering) |
| ISBN |
1-118-62255-3
1-299-31553-4 1-118-62256-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; 2.2.5. Dimensioning according to ANSI and CSA; Chapter 1. Fundamentals of Error Analysis and their Uncertainties in Dimensional Metrology Applied to Science and Technology; 1.1. Introduction to uncertainties in dimensional metrology; 1.2. Definition of standards; 1.3. Definition of errors and uncertainties in dimensional metrology; 1.3.1. What is the difference between error and uncertainty?; 1.3.2. Why make a calculation of errors' uncertainty?; 1.3.3. Reminder of basic errors and uncertainties
1.3.4. Properties of uncertainty propagation1.3.5. Reminder of random basic variables and their functions; 1.3.6. Properties of random variables of common functions; 1.4. Errors and their impact on the calculation of uncertainties; 1.4.1. Accidental or fortuitous errors; 1.4.2. Systematic errors; 1.4.3. Errors due to apparatus; 1.4.4. Errors due to the operator; 1.4.5. Errors due to temperature differences; 1.4.6. Random errors; 3.10.5. Measurement of screw threads by three-wire method; 1.5. Applications based on errors in dimensional metrology; 1.5.1. Absolute error δ = Ea 1.5.2. Relative error δ = Er1.5.3. Systematic error; 1.5.4. Accidental error (fortuitous error); 1.5.5. Expansion effect on a bore/shaft assembly; 1.6. Correction of possible measurement errors; 1.6.1. Overall error and uncertainty; 1.6.2. Uncertainty due to calibration methods; 1.6.3. Capability of measuring instruments; 1.7. Estimation of uncertainties of measurement errors in metrology; 1.7.1. Definitions of simplified equations of uncertainty measurements; 1.7.2. Issue of mathematical statistics evaluation of uncertainties in dimensional metrology 1.7.3. Uncertainty range, coverage factor k and range of relative uncertainty1.8. Approaches for determining type A and B uncertainties according to the GUM; 1.8.1. Introduction; 1.8.2. Properties; 1.8.3. Brief description of type-A uncertainty evaluation method; 1.8.4. Type-B uncertainty methods; 1.9. Principle of uncertainty calculation: types A and B; 1.9.1. Error on the repeated measure: calculation of compound standard uncertainty; 1.9.2. Applications on the laboratory calculations of uncertainties; 1.9.3. Simplified models for the calculations of measurement uncertainties 1.9.4. Laboratory model of dimensional metrology1.9.5. Measurement uncertainty evaluation discussion; 1.9.6. Contribution of the GUM in dimensional metrology; 1.10. Summary; 1.11. Bibliography; Chapter 2. Fundamentals of Dimensional and Geometrical Tolerances According to ISO, CSA (Canada), and ANSI (USA; 2.1. Introduction to geometrical products specification; 2.2. Dimensional tolerances and adjustments; 2.2.1. Adjustments with clearance: Ø80 H8/f7; 2.2.2. Adjustments with uncertain clearance: Ø80 H7/k6; 2.2.3. Adjustments with clamping or interference 2.2.4. Approach for the calculation of an adjustment with clearance |
| Record Nr. | UNINA-9910840784003321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied quality control [[electronic resource] /] / Ammar Grous
| Applied quality control [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina | 620.0045 |
| Collana |
Fracture mechanics
Mechanical engineering and solid mechanics series |
| Soggetto topico | Production management - Quality control |
| ISBN |
1-118-58015-X
1-118-58011-7 1-299-18689-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Contents; Preface; Glossary; Chapter 1. Quality Control; 1.1. Introduction to statistical process control; 1.2. Classical tolerancing and quality control; 1.2.1. ISO norms in quality control; 1.2.2. QS9000 approach; 1.2.3. Capabilities of CNOMO E41.36.110.N control means; 1.2.4. Some capability indicators according to ISO/TS 16949, ISO 8258 and Ford; 1.2.5. Metrological audits; 1.3. The Pareto law - ABC method; 1.3.1. Practical application; 1.3.2. Malfunction spread over 16 so-called "nevralgic" points; 1.4. Lot inspection by attributes
1.4.1. Areas on which lot inspection operates1.4.2. (np) chart for controlling the number of defects; 1.4.3. (c) card to control the number of defects; 1.4.4. Average lot quality after control; 1.4.5. Choosing a sample plan; 1.4.6. Wald plan case study; 1.4.7. Average long-term controlled quantity; 1.4.8. Case study of a simple sampling plan; 1.4.9. Poisson distribution of cumulative probabilities; 1.5. Theoretical basics of control by measurement; 1.5.1. Choosing a simple sampling plan; 1.5.2. Choosing a simple or double sampling plan; 1.6. Analysis of process capability 1.6.1. Capability indices for a normally distributed variable: X (μ, σ)1.6.2. Machine capability Cm and Cmk; 1.7. Capability for a non-normal distribution; 1.8. Control by measurement charts; 1.8.1. Size of the samples to be taken and the frequency of control; 1.8.2. Factor for control of X (mean) and range (R); 1.9. Production and reception control; 1.9.1. Machine adaptation with respect to production tolerances; 1.9.2. Proportion of faulty units; 1.10. Control charts; 1.10.1. Control by measurements charts for the mean X and the range R; 1.10.2. Calculating control limits and case study 1.10.3. Study of X /R control charts - quality control lab1.10.4. Graphical representation of the rejections due to non-conformity to TI; 1.10.5. Performance case study: Capabilities; 1.10.6. Calculating machine capability indices: Cm and Cmk; 1.11. Conclusion; 1.12. Bibliography; Chapter 2. Quality Control Case Studies; 2.1. The tools of quality, as per W. Deming; 2.2. Failure modes, effects and criticality analysis; 2.3. Total productive maintenance method; 2.4. The LMMEM "5M" process method; 2.5. Estimations of times in mechanical productions (machining) 2.5.1. Optimizing times and costs in mechanical production2.6. Stock management and supply methods; 2.6.1. Hypothesis of a general method to improve stock management; 2.7. Short summary of control charts; 2.7.1. The various control charts; 2.7.2. Measurement control charts - stability control charts (Shewhart); 2.7.3. Estimating μ0 and σ0; 2.7.4. Efficiency - chart of the average; 2.7.5. Control chart by attributes - determining the limits; 2.8. CUSUM charts; 2.8.1. EWM charts; 2.8.2. Shewhart charts for the average X, the range R and the standard deviation (s) 2.8.3. Control charts for the average X and the range R |
| Record Nr. | UNINA-9910138858303321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied quality control [[electronic resource] /] / Ammar Grous
| Applied quality control [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina | 620.0045 |
| Collana |
Fracture mechanics
Mechanical engineering and solid mechanics series |
| Soggetto topico | Production management - Quality control |
| ISBN |
1-118-58015-X
1-118-58011-7 1-299-18689-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Contents; Preface; Glossary; Chapter 1. Quality Control; 1.1. Introduction to statistical process control; 1.2. Classical tolerancing and quality control; 1.2.1. ISO norms in quality control; 1.2.2. QS9000 approach; 1.2.3. Capabilities of CNOMO E41.36.110.N control means; 1.2.4. Some capability indicators according to ISO/TS 16949, ISO 8258 and Ford; 1.2.5. Metrological audits; 1.3. The Pareto law - ABC method; 1.3.1. Practical application; 1.3.2. Malfunction spread over 16 so-called "nevralgic" points; 1.4. Lot inspection by attributes
1.4.1. Areas on which lot inspection operates1.4.2. (np) chart for controlling the number of defects; 1.4.3. (c) card to control the number of defects; 1.4.4. Average lot quality after control; 1.4.5. Choosing a sample plan; 1.4.6. Wald plan case study; 1.4.7. Average long-term controlled quantity; 1.4.8. Case study of a simple sampling plan; 1.4.9. Poisson distribution of cumulative probabilities; 1.5. Theoretical basics of control by measurement; 1.5.1. Choosing a simple sampling plan; 1.5.2. Choosing a simple or double sampling plan; 1.6. Analysis of process capability 1.6.1. Capability indices for a normally distributed variable: X (μ, σ)1.6.2. Machine capability Cm and Cmk; 1.7. Capability for a non-normal distribution; 1.8. Control by measurement charts; 1.8.1. Size of the samples to be taken and the frequency of control; 1.8.2. Factor for control of X (mean) and range (R); 1.9. Production and reception control; 1.9.1. Machine adaptation with respect to production tolerances; 1.9.2. Proportion of faulty units; 1.10. Control charts; 1.10.1. Control by measurements charts for the mean X and the range R; 1.10.2. Calculating control limits and case study 1.10.3. Study of X /R control charts - quality control lab1.10.4. Graphical representation of the rejections due to non-conformity to TI; 1.10.5. Performance case study: Capabilities; 1.10.6. Calculating machine capability indices: Cm and Cmk; 1.11. Conclusion; 1.12. Bibliography; Chapter 2. Quality Control Case Studies; 2.1. The tools of quality, as per W. Deming; 2.2. Failure modes, effects and criticality analysis; 2.3. Total productive maintenance method; 2.4. The LMMEM "5M" process method; 2.5. Estimations of times in mechanical productions (machining) 2.5.1. Optimizing times and costs in mechanical production2.6. Stock management and supply methods; 2.6.1. Hypothesis of a general method to improve stock management; 2.7. Short summary of control charts; 2.7.1. The various control charts; 2.7.2. Measurement control charts - stability control charts (Shewhart); 2.7.3. Estimating μ0 and σ0; 2.7.4. Efficiency - chart of the average; 2.7.5. Control chart by attributes - determining the limits; 2.8. CUSUM charts; 2.8.1. EWM charts; 2.8.2. Shewhart charts for the average X, the range R and the standard deviation (s) 2.8.3. Control charts for the average X and the range R |
| Record Nr. | UNINA-9910822449603321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied reliability [[electronic resource] /] / Ammar Grous
| Applied reliability [[electronic resource] /] / Ammar Grous |
| Autore | Grous Ammar |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (364 p.) |
| Disciplina | 620.0045 |
| Collana |
Fracture mechanics
Mechanical engineering and solid mechanics series |
| Soggetto topico | Reliability (Engineering) |
| ISBN |
1-118-58002-8
1-118-58010-9 1-118-58006-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Contents; Preface; Glossary; Chapter 1. Fracture Mechanisms by Fatigue; 1.1. Introduction; 1.2. Principal physical mechanisms of cracking by fatigue; 1.2.1. Fracture mechanics; 1.2.2. Criteria of fracture (plasticity) in mechanics; 1.3. Modes of fracture; 1.3.1. Directed works; 1.4. Fatigue of metals: analytical expressions used in reliability; 1.4.1. Wöhler's law; 1.4.2. Basquin's law (1910); 1.4.3. Stromayer's law (1914); 1.4.4. Palmgren's law; 1.4.5. Corson's law (1949); 1.4.6. Bastenaire's law; 1.4.7. Weibull's law; 1.4.8. Henry's law; 1.4.9. Corten and Dolen's law
1.4.10. Manson-Coffin's law 1.5. Reliability models commonly used in fracture mechanics by fatigue; 1.5.1. Coffin-Manson's model for the analysis of crack propagation; 1.5.2. Neuber's relation (1958); 1.5.3. Arrhenius' model; 1.5.4. Miner's law (1954); 1.6. Main common laws retained by fracture mechanics; 1.6.1. Fost and Dugdale's law; 1.6.2. McEvily's law (1979); 1.6.3. Paris's law; 1.6.4. G.R. Sih's law; 1.7. Stress intensity factors in fracture mechanics; 1.7.1. Maddox's model; 1.7.2. Gross and Srawley's model; 1.7.3. Lawrence's model; 1.7.4. Martin and Bousseau's model 1.7.5. Gurney's model 1.7.6. Engesvik's model; 1.7.7. Yamada and Albrecht's model; 1.7.8. Tomkins and Scott's model; 1.7.9. Harrison's model; 1.8. Intrinsic parameters of the material (C and m); 1.9. Fracture mechanics elements used in reliability; 1.10. Crack rate (life expectancy) and s.i.f. (Kσ); 1.10.1. Simplified version of Taylor's law for machining; 1.11. Elements of stress (S) and resistance theory (R); 1.11.1. Case study, part 2 - suspension bridge (Cirta); 1.11.2. Case study: failure surface of geotechnical materials; 1.12. Conclusion; 1.13. Bibliography 2.4.1. Development and calculations 2.5. Confidence interval for estimating a normal mean: unknown variance; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. Analysis of the Reliability of Materials and Structures by the Bayesian Approach; 3.1. Introduction to the Bayesian method used to evaluate reliability; 3.2. Posterior distribution and conjugate models; 3.2.1. Independent events; 3.2.2. Counting diagram; 3.3. Conditional probability or Bayes' law; 3.4. Anterior and posterior distributions; 3.5. Reliability analysis by moments methods, FORM/SORM 3.6. Control margins from the results of fracture mechanics |
| Record Nr. | UNINA-9910141602003321 |
|
Grous Ammar
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
