Textile processes : quality control and design of experiments /

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This book has been written for textile experts, researchers, students, and PhD students in the field who work on the control and optimization of textile processes and the quality of the manufactured products. The book presents a review of the methods for experiment design and for deriving and optimi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dami͡anov, Georgi B. (Georgi Borisov), 1927-
Otros Autores: Germanova-Krasteva, Diana Stoyanova, 1967-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Momentum Press, ©2013.
Edición:1st ed.
Temas:
Textile industry > Mathematical models.
Textile industry > Quality control.
Textiles et tissus > Industrie et commerce > Modèles mathématiques.
Textiles et tissus > Industrie et commerce > Qualité > Contrôle.
TECHNOLOGY & ENGINEERING > Technical & Manufacturing Industries & Trades.
TECHNOLOGY & ENGINEERING > Textiles & Polymers.
Textile industry > Mathematical models
Textile industry > Quality control
textile processes
quality control
applied statistics
control charts
regression analysis
ANOVA
design of experiments
optimization
Taguchi methods
Box-Wilson method
Simplex method
rank correlation
random balance method
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface
  • About the authors
  • List of figures
  • List of tables.
  • Part I. Introduction to mathematical statistics
  • I.1. General terms and definitions
  • I.2. Laws of random variables distribution
  • I.3. Statistical estimates
  • I.4. Statistical process control and control charts
  • I.5. Correlation analysis
  • I.6. Analysis of variance.
  • Part II. Design of an experiment
  • II. 1. Main concepts in mathematical modeling and optimization
  • II. 2. Choice of parameters of optimization
  • II. 3. Choice of input factors
  • II. 4. Main stages of experimental modeling
  • II. 5. Regression analysis
  • II. 6. Full factorial experiment
  • II. 7. Fractional factorial experiment
  • II. 8. Statistical methods for movement to an optimal area
  • II. 9. Investigation of the optimum area: composite designs of second order
  • II. 10. Optimization of target function
  • II. 11. Taguchi methods.
  • Appendix 1: Student's T-distribution
  • Appendix 2: Chi-squared X2-distribution
  • Appendix 3: Fisher's F-distribution a = 0.05
  • Appendix 4: Fisher's F-distribution a = 0.01
  • Appendix 5: Cochran's critical values
  • Appendix 6: Density of normal distribution N(0, 1)
  • Appendix 7: Probability P for Sd [less than or equal to] Sdo
  • Appendix 8: Random numbers
  • Bibliography
  • Index.

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