Design of Experiments detailed syllabus for Chemical & Electrochemical Engineering (CEE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CEE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Chemical & Electrochemical Engineering 5th Sem scheme and its subjects, do visit CEE 5th Sem 2021 regulation scheme. For Professional Elective-II scheme and its subjects refer to CEE Professional Elective-II syllabus scheme. The detailed syllabus of design of experiments is as follows.
Course Objectives:
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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 checkingestimation 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 contrasts-Randomized Block Design – Latin Square Design- Graeco Latin Square Design -Applications.
Unit III
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Unit IV
SPECIAL EXPERIMENTAL DESIGN 9
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 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.
Course Outcomes:
- 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 Books:
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Reference Books:
- Douglas C. Montgomery, “Design and Analysis of Experiments”, John Wiley & sons, 2005
- Phillip J. Ross, “Taguchi Techniques for Quality Engineering”, Tata McGraw-Hill, India, 2005.
For detailed syllabus of all the other subjects of Chemical & Electrochemical Engineering 5th Sem, visit CEE 5th Sem subject syllabuses for 2021 regulation.
For all Chemical & Electrochemical Engineering results, visit Anna University CEE all semester results direct link.