AM4006 Design and Analysis of Experiments Syllabus:
AM4006 Design and Analysis of Experiments Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To identify the key factors in designing experiments
To develop appropriate experimental design
To analyse the data to derive valid conclusions.
To optimize process conditions by developing empirical models.
To Design robust products and processes using parameter design approach.
UNIT I FUNDAMENTALS OF EXPERIMENTATION
Role of experimentation in rapid scientific progress, Historical perspective of experimental approaches, Steps in experimentation, Principles of experimentation.
UNIT II SIMPLE COMPARATIVE EXPERIMENTS
Basic concepts of probability and statistics, Comparison of two means and two variances, Comparison of multiple (more than two) means & ANOVA.
UNIT III EXPERIMENTAL DESIGNS
Factorial designs, fractional factorial designs, orthogonal arrays, standard orthogonal arrays & interaction tables, modifying the orthogonal arrays, selection of suitable orthogonal array design, analysis of experimental data.
UNIT IV RESPONSE SURFACE METHODOLOGY
Concept, linear model, steepest ascent, second order model, regression
UNIT V TAGUCHI’S PARAMETER DESIGN
Concept of robustness, noise factors, objective function & S/N ratios, inner-array and outerarray design, data analysis
TOTAL : 45 PERIODS
COURSE OUTCOMES:
Formulate objective(s) and identify key factors in designing experiments for a given problem.
Develop appropriate experimental design to conduct experiments for a given problem.
Analyze experimental data to derive valid conclusions.
Optimize process conditions by developing empirical models using experimental data.
Design robust products and processes using parameter design approach.
REFERENCES
1. Montgomery DC, Design and Analysis of Experiments, 7th Edition, John Wiley & Sons, NY, 2008.
2. Ross PJ, Taguchi Techniques for Quality Engineering, McGraw-Hill Book Company, NY, 2008.