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Optimisation of manufacturing processes : a response surface approach /

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Many engineering companies around the world are currently undergoing a quality control and improvement revolution that originally started in Japan many decades ago and this book provides a brief overview of this revolution. Robust design is a central component of the modern approach to quality impro...

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Bibliographic Details
Main Author: Evans, Mark (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: London : Routledge, Taylor & Francis Group, 2022.
Subjects:
Production planning.
Experimental design.
Quality control.
Production > Planification.
Plan d'expérience.
Qualité > Contrôle.
quality control.
Experimental design
Production planning
Quality control
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • PROCESS OPTIMISATION THROUGH INDUSTRIAL EXPERIMENTATION: Objectives of industrial experimentation for quality improvement
  • A simple model of a manufacturing process
  • Process optimisation
  • Statistically planned (designed) experiments
  • Planning a research programme
  • ENGINEERING CASE STUDIES: The ausforming process
  • High strength steels
  • Hot forged copper powder compacts
  • Closed die forging of aero engine disks
  • Friction welding
  • The injection moulding experiment
  • The spring free height experiment
  • The printing process study
  • THE 2k EXPERIMENTAL DESIGN: FULL FACTORIALS: The 22 factorial design
  • The 23 factorial design
  • The 2k factorial design
  • THE 2k-p EXPERIMENTAL DESIGN: FRACTIONAL FACTORIALS: Basic concepts
  • The one half fraction op the 2k design
  • Other fractional factorial designs
  • A 27v design for the ausforming process
  • Taguchits orthogonal arrays
  • CONTROLLING THE MEAN: LOCATION EFFECTS IN LINEAR DESIGNS: Definition of location effects
  • Methods of controlling the mean quality characteristics
  • They ates and least squares procedures for estimating location effects
  • Location effects estimated prom fractional designs
  • Location effects in the ausforming process
  • TESTING THE IMPORTANCE OF LOCATION EFFECTS IN THE 2K DESIGN: A distribution of effect estimates
  • The standard deviation of a location effect estimate
  • The t test in a replicated design
  • The t test within the least squares procedure
  • A graphical test for the importance of location effects
  • CONTROLLING PROCESS VARIABILITY: DISPERSION EFFECTS IN LINEAR DESIGNS: Noise-design factor interactions and process variability
  • A generalised response surface approach to process variability
  • An application to the 25 design on the ausformtng
  • Prediction errors and process variability
  • The disk forging operation experiment
  • A generalised linear model
  • The copper compact experiment
  • Comparing the response surface and generalised linear models using the injection moulding experiment
  • LINEAR PROCESS OPTIMISATION: A two step process optimisation procedure
  • Illustrations of process optimisation
  • SOME NON LINEAR EXPERIMENTAL DESIGNS: 3k designs
  • A 32 design for the friction welding case study
  • Central composite designs
  • A central composite design for the linear friction welding case study
  • The box-behnken design
  • Mixed level factorial designs
  • LINEAR AND NON LINEAR EFFECTS: A non-linear effect
  • The second order response surface model
  • Estimating response surface models
  • Analysis of the friction welding experiment
  • SEQUENTIAL TESTING: Sequential testing and the path of steepest ascent
  • Sequential experimentation for the ausforming process
  • DUAL RESPONSE SURFACE METHODOLOGIES: The dual response surface methodology
  • The printing process case study.