Department of Process Engineeringhttps://www.univ-soukahras.dz/en/dept/gp |
Module: Experiments Design
Lecturer | Ilhem DJAGHOUT |
Information |
Master - chemical engineering
Department of Process Engineering Website : https://www.univ-soukahras.dz/en/module/4592 Semester : S3 Unit : UEM 2.1 Credit : 3 Coefficient: 2 |
Content | Chapter 1: General introduction and factorial designs 1. Introduction 2. What is an experimental design? 3. Field of study and response surface 4. The factors 5. Notion of interaction 6. Notion of model and multiple linear regression 7. Complete 2k factorial design 7.1. Example of the calculation of effects 7.2. Graphical representation of effects 7.3. Matrix form - Multilinear regression 8. Example of application Chapter 2: Significance testing and model validation 1. Introduction 2. Experimental errors 3. Significance tests for effects 4. Confidence intervals for model effects 5. Analysis of variance. Validation of the linear model 5.1. The ANOVA table 5.2. Coefficient of determination-Coefficient of correlation 6. Example of application Chapter 3: Fractional designs 1. Introduction 2. Fractional design 3. Fractional plan analysis 4. Example of application 5. Other designs: Plackett-Burman and Taguchi designs Chapter 4: Response surface planes 1. Introduction 2. Notion of response surface and isoresponse curves 3. Plans for the study of second degree models 3.1. Box-Behnken design 3.2. Centred composite plane 4. Criteria for the quality and optimality of an experimental design 4.1. Calculation of optimal designs 5. Example of the application of response surface designs Chapter 5: Mixture designs 1. Introduction 2. Geometric representation of mixtures 3. Study area in mixing planes 4. Mathematical models of mixtures 5. Analysis of a mixing scheme 6. Example of application 7. Mixing designs and experimental designs: mixed designs Applications -Introduction to Minitab + Obtaining the coefficients of a complete design as well as the graphs of the main effects and interactions +ANOVA. - Fractional designs in Minitab - Optimisation using response surface designs (Box Benkhen+Central composite) - Use of mixture designs |
Evaluation | Continuous assessment: 40%; Exam: 60%. |