151-0034-10L  Engineering Tool: Introduction to Design of Experiments (DOE)

SemesterSpring Semester 2023
LecturersB. G. Rüttimann
Periodicityyearly recurring course
Language of instructionGerman
CommentThe Engineering Tools courses are for MAVT Bachelor’s degree students only.


AbstractThe course introduces to linear and non-linear modelling of processes via "Design of Experiments". DOE is an actively generated regression analysis for fast and economic determination of input parameters to achieve an optimal output with a reduced number of experiments.
ObjectiveThe students gain insight into theory and practice of DOE. They learn the most important terms, DOE types, full and fractional-factorial modelling and what has to be respected during the factor selection and investigational procedure, everything enriched by a practical exercise. The course provides indispensable basic knowledge for target-oriented scientific experimentation.
Content1. Einführung
- T&E, OFAT, DOE, Vorteile von DOE
- Auffrischung Statistik und Multiple Regression
- Multiple Regression vs DOE
- DOE Typen: Screening, Refining, Optimizing

2. Theoretische Grundlagen
- Vertiefung refining DOE
- Voll-, teilfaktorielle DOE, confounding
- Design generator, design resolution, factor levels, blocking
- Beta-Risiko, Power, Replicates, Repeats, Mid-Points, Lack-of-fit

3. Versuchsplanung und -durchführung, Resultatanalyse
- CNX Variablen
- Experiment set-up mittels Software
- Main effects, interaction plots
- Modellreduzierung, Residualanalyse
- Response optimizer
- Einblick in die nicht-lineare Modellierung

4. Praktische Übung "Katapultschiessen"
- Prozessverständnis
- Versuchsdurchführung
- Auswertung, Modellbildung, Wettbewerb
Lecture noteswird bereitgestellt und kann von den Kursteilnehmer heruntergeladen werden
LiteratureRüttimann, Wegener - The Power of DOE: How to Increase Experimental Design Success and Avoid Pitfalls, JSSM, 2015
Prerequisites / NoticeVoraussetzung für die Kursteilnahme: Studenten des Maschinenbaus, der Betriebswirtschaft o.ä.; Kenntnisse der Statistikgrundlagen sind von Vorteil aber nicht zwingend (kurze Einführung in die inferentielle Statistik und multiple Regression wird vermittelt)
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesfostered
Decision-makingfostered
Problem-solvingfostered