Experimental planning with Design-Expert
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Duration
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3 days (On Site)
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Level
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First course on using Design Expert
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Prerequisite
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Basic knowledge of mathematics. Basic knowledge of statistics, such as provided in the Introduction to statistics for technical professionals course
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Topics covered
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How to plan a experimental programme
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Complete and partial factorial designs
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Interpretation of analysis of variance
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When and how to use transformations
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Augmenting a partial factorial to obtain more information
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Screening designs and designs for testing robustness
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Introduction to designs for response surfaces and for mixtures
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Objective
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Learn to use Design Expert and its powerful techniques for experimental design in order to get the greatest amount of useful information while limiting the number of experiments. The course does not cover in depth the use of Design Expert for response surface and mixture designs.
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Optimization of formulation using Design-Expert
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Duration
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3 days (On Site)
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Level
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Intermediate
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Prerequisite
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Familiarity with analysis of variance (for example, our first course on Design of Experiments with Design-Expert)
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Topics covered
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Setting up simplex designs
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Evaluating and augmenting an experimental plan
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Choosing an appropriate model for a mixture
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Creating ternary diagrammes (contour maps, 3D)
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Dealing with constraints
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Using pseudo-components
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Optimizing formulations
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Screening mixture components
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Combining composition variables with other variables
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Objective
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Learn to use Design-Expert to choose an experimental plan, model mixture properties, and optimize these properties
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