Optimisation of manufacturing processes : a response surface approach / Mark Evans
- 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.
- Bibliography Note:
- Includes bibliographical references and index.
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