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Fracture mechanics 3 : applied quality control /
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 al...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
ISTE : Wiley,
2013.
|
| Edición: | 11th ed. |
| Colección: | Mechanical engineering and solid mechanics series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Grous, Ammar. | |
| 245 | 1 | 0 | |a Fracture mechanics 3 : |b applied quality control / |c Ammar Grous. |
| 250 | |a 11th ed. | ||
| 260 | |a London : |b ISTE : |b Wiley, |c 2013. | ||
| 300 | |a 1 online resource (290 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Mechanical engineering and solid mechanics series | |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |6 880-01 |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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). | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Quality control |x Statistical methods. | |
| 650 | 6 | |a Qualité |x Contrôle |x Méthodes statistiques. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Quality Control. |2 bisacsh | |
| 650 | 7 | |a Quality control |x Statistical methods |2 fast | |
| 758 | |i has work: |a Fracture mechanics 3 (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGj3rJrvdqp8VjqHXWbyBP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Grous, Ammar. |t Fracture mechanics 3. |d London : ISTE : Wiley, ©2013 |z 9781848214422 |
| 830 | 0 | |a Mechanical engineering and solid mechanics series. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1124090 |z Texto completo |
| 880 | 0 | 0 | |6 505-01/(S |g Machine generated contents note: |g ch. 1 |t Quality Control -- |g 1.1. |t Introduction to statistical process control -- |g 1.2. |t Classical tolerancing and quality control -- |g 1.2.1. |t ISO norms in quality control -- |g 1.2.2. |t QS9000 approach -- |g 1.2.3. |t Capabilities of CNOMO E41.36.110.N control means -- |g 1.2.4. |t Some capability indicators according to ISO/TS 16949, ISO 8258 and FORD -- |g 1.2.5. |t Metrological audits -- |g 1.3. |t Pareto law -- ABC method -- |g 1.3.1. |t Practical application -- |g 1.3.2. |t Malfunction spread over 16 so-called "nevralgic" points -- |g 1.4. |t Lot inspection by attributes -- |g 1.4.1. |t Areas on which lot inspection operates -- |g 1.4.2. |t (np) chart for controlling the number of defects -- |g 1.4.3. |t (c) card to control the number of defects -- |g 1.4.4. |t Average lot quality after control -- |g 1.4.5. |t Choosing a sample plan -- |g 1.4.6. |t Wald plan case study -- |g 1.4.7. |t Average long-term controlled quantity -- |g 1.4.8. |t Case study of a simple sampling plan -- |g 1.4.9. |t Poisson distribution of cumulative probabilities -- |g 1.5. |t Theoretical basics of control by measurement -- |g 1.5.1. |t Choosing a simple sampling plan -- |g 1.5.2. |t Choosing a simple or double sampling plan -- |g 1.6. |t Analysis of process capability -- |g 1.6.1. |t Capability indices for a normally distributed variable: X(μ, σ) -- |g 1.6.2. |t Machine capability Cm and Cmk -- |g 1.7. |t Capability for a non-normal distribution -- |g 1.8. |t Control by measurement charts -- |g 1.8.1. |t Size of the samples to be taken and the frequency of control -- |g 1.8.2. |t Factor for control of X (mean) and range (R) -- |g 1.9. |t Production and reception control -- |g 1.9.1. |t Machine adaptation with respect to production tolerances -- |g 1.9.2. |t Proportion of faulty units -- |g 1.10. |t Control charts -- |g 1.10.1. |t Control by measurements charts for the mean X and the range R -- |g 1.10.2. |t Calculating control limits and case study -- |g 1.10.3. |t Study of X /R control charts -- quality control lab -- |g 1.10.4. |t Graphical representation of the rejections due to non-conformity to TI -- |g 1.10.5. |t Performance case study: Capabilities -- |g 1.10.6. |t Calculating machine capability indices: Cm and Cmk -- |g 1.11. |t Conclusion -- |g 1.12. |t Bibliography -- |g ch. 2 |t Quality Control Case Studies -- |g 2.1. |t tools of quality, as per W. Deming -- |g 2.2. |t Failure modes, effects and criticality analysis -- |g 2.3. |t Total productive maintenance method -- |g 2.4. |t LMMEM "5M" process method -- |g 2.5. |t Estimations of times in mechanical productions (machining) -- |g 2.5.1. |t Optimizing times and costs in mechanical production -- |g 2.6. |t Stock management and supply methods -- |g 2.6.1. |t Hypothesis of a general method to improve stock management -- |g 2.7. |t Short summary of control charts -- |g 2.7.1. |t various control charts -- |g 2.7.2. |t Measurement control charts -- stability control charts (Shewhart) -- |g 2.7.3. |t Estimating μ0 and σ0 -- |g 2.7.4. |t Efficiency -- chart of the average -- |g 2.7.5. |t Control chart by attributes -- determining the limits -- |g 2.8. |t CUSUM charts -- |g 2.8.1. |t EWM charts -- |g 2.8.2. |t Shewhart charts for the average X the range R and the standard deviation (s) -- |g 2.8.3. |t Control charts for the average X and the range R -- |g 2.9. |t Individual control charts -- |g 2.9.1. |t Average lengths or CUSUM-Run -- |g 2.10. |t EWMA statistics -- comparison between Shewhart graph control and the EWMA chart control techniques -- |g 2.10.1. |t Poisson normal distribution approximation -- |g 2.10.2. |t Decision limits of the X / R control chart through the SPC method -- |g 2.11. |t Main statistical tests used in quality control -- |g 2.11.1. |t So-called "Henry Line" or probability diagram test -- |g 2.12. |t Partial conclusion -- |g 2.13. |t Bibliography -- |g ch. 3 |t Case Studies -- |g 3.1. |t Quality control case study: calculating and plotting efficiency curves in simple/double control -- |g 3.1.1. |t Simple binomial distribution -- |g 3.1.2. |t Calculation results -- |g 3.2. |t Calculating the efficiency curves of simple/double control -- |g 3.2.1. |t Calculation results -- |g 3.3. |t Calculating efficiency curves in double control: binomial distribution, double efficiency plan (Excel version) -- |g 3.3.1. |t Calculation results -- |g 3.4. |t Progressive control (Excel) -- |g 3.4.1. |t Calculating the acceptance and refusal curves in progressive control -- |g 3.4.2. |t Calculation results -- |g 3.4.3. |t Graph -- |g 3.4.4. |t Measurement acceptance test when sigma (σ) is known -- |g 3.4.5. |t Determining the efficiency curve and the acceptance limits -- |g 3.4.6. |t Acceptance: known standard deviation, sigma = 0.01 -- |g 3.4.7. |t Measurement acceptance test when sigma (SD) is known -- |g 3.4.8. |t Choosing a plan -- |g 3.4.9. |t Plot (Excel) -- |g 3.5. |t R&R study in quality control and dimensional metrology -- |g 3.5.1. |t R&R (EV Repeatability and AR reproducibility) -- |g 3.5.2. |t R&R study -- |g 3.6. |t X/S control chart study (average and standard deviation, σ) -- |g 3.7. |t Case study: capability of a specific control method -- |g 3.7.1. |t Measurements from a digital micrometer -- |g 3.7.2. |t Definition drawing or clear picture -- |g 3.7.3. |t Table of the measurements taken using a digital micrometer (directly read the value from Caliper) -- |g 3.7.4. |t Table of calculation results (Excel and MathCAD) -- |g 3.8. |t Case study on type A and B uncertainties -- |g 3.8.1. |t Uncertainties guide to the expression of uncertainties in measurements (GUM) -- |g 3.8.2. |t Estimating the compound uncertainty UC -- |g 3.9. |t Case study: uncertainties -- |g 3.9.1. |t Uncertainty study as per GUM -- |g 3.9.2. |t Graph -- |g 3.10. |t Conclusion -- |g 3.11. |t Bibliography. |
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