OME751 Syllabus - Design Of Experiments - 2017 Regulation - Open Elective | Anna University

OME751 Syllabus - Design Of Experiments - 2017 Regulation - Open Elective | Anna University

OME751	DESIGN OF EXPERIMENTS	L T P C

3003

OBJECTIVE:

• To impart knowledge on various types of experimental designs conduct of experiments and data analysis techniques.

UNIT I	FUNDAMENTALS OF EXPERIMENTAL DESIGNS	9

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	9

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 test- testing using contrasts- Randomized Block Design – Latin Square Design- Graeco Latin Square Design – Applications.

UNIT III	FACTORIAL DESIGNS	9

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- 2K Design with two and three factors- Yate’s Algorithm- fitting regression model- Randomized Block Factorial Design - Practical applications

UNIT IV	SPECIAL EXPERIMENTAL DESIGN	9

Blocking and Confounding in 2K Designs- blocking in replicated design- 2K 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	9

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

OUTCOMES:

• Able to apply experimental techniques to practical problems to improve quality of processes / products by optimizing the process / product parameters.

TEXT BOOKS:

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.