EL3010 Design of Experiments Syllabus:
EL3010 Design of Experiments Syllabus – Anna University Regulation 2021
OBJECTIVE:
• To impart knowledge on various types of experimental designs conduct of experiments and data analysis techniques.
UNIT I FUNDAMENTALS OF EXPERIMENTAL DESIGNS
Hypothesis testing – single mean, two means, dependant/ correlated samples – confidence intervals, Experimentation – need, Conventional test strategies, Analysis of variance, F-test, terminology, basic principles of design, steps in experimentation – choice of sample size – Normal and half normal probability plot – simple linear and multiple linear regression, testing using Analysis of variance.
UNIT II SINGLE FACTOR EXPERIMENTS
Completely Randomized Design- effect of coding the observations- model adequacy checking estimation of model parameters, residuals analysis- treatment comparison methods-Duncan’s multiple range test, Newman-Keuel’s test, Fisher’s LSD test, Tukey’s testtesting using contrastsRandomized Block Design – Latin Square Design- Graeco Latin Square Design –Applications.
UNIT III FACTORIAL DESIGNS
Main and Interaction effects – Two and three factor full factorial designs- Fixed effects and random effects model – Rule for sum of squares and Expected Mean Squares- 2 K Design with two and three factors- Yate’s Algorithm- fitting regression model- Randomized Block Factorial Design – Practical applications.
UNIT IV SPECIAL EXPERIMENTAL DESIGN
Blocking and Confounding in 2K Designs- blocking in replicated design- 2 K Factorial Design in two blocks- Complete and partial confounding- Confounding 2K Design in four blocks- Two level Fractional Factorial Designs- one-half fraction of 2K Design, design resolution, Construction of one-half fraction with highest design resolution, one-quarter fraction of 2K Design
UNIT V TAGUCHI METHODS
Design of experiments using Orthogonal Arrays, Data analysis from Orthogonal experiments Response Graph Method, ANOVA- attribute data analysis- Robust design- noise factors, Signal to noise ratios, Inner/outer OA design.
TOTAL: 45 PERIODS
OUTCOME:
• Understand the fundamentals of experimental designs
• Understand the concept of single factor experiments
• Understand the concept of factorial designs
• Acquire knowledge on various data analysis techniques
• Acquire knowledge on Taguchi methods
TEXT BOOK:
1. Krishnaiah K, and Shahabudeen P, “Applied Design of Experiments and Taguchi Methods”, PHI, India, 2011.
REFERENCES:
1. Douglas C. Montgomery, “Design and Analysis of Experiments”, John Wiley & sons, 2005
2. Phillip J. Ross, “Taguchi Techniques for Quality Engineering”, Tata McGraw-Hill, India, 2005.