Design of Experiments Mech (Sandwich) 10th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective VI) detail syllabus for Mechanical Engineering (Sandwich) (Mech (Sandwich)), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (IE8791), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other mech (sandwich) 10th sem syllabus for be 2017 regulation anna univ you can visit Mech (Sandwich) 10th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective VI subjects do refer to Professional Elective VI. The detail syllabus for design of experiments is as follows.
Aims:
This course aims to introduce students how to statistically plan, design and execute industrial experiments for process understanding and improvement in both manufacturing and service environments
Course Objective:
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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- Duncans multiple range test, Newman-Keuels test, Fishers LSD test, Tukeys test- testing using contrasts-Randomized Block Design – Latin Square Design- Graeco Latin Square Design – Applications.
Unit III
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Unit IV
Special Experimental Designs
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- introduction to response surface methods, central composite 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- case studies.
Course Outcome:
- To understand the fundamental principles of Classical Design of Experiments
- To apply DOE for process understanding and optimisation
- To describe the Taguchis approach to experimental design for process performance robustness
- To apply Taguchi based approach to evaluate quality
Text Books:
- Douglas C. Montgomery, Design and Analysis of Experiments, John Wiley and sons, 2012.
References:
- Box, G. E., Hunter,W.G., Hunter, J.S., Hunter,W.G., Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition, Wiley, 2005.
- Krishnaiah K, and Shahabudeen P, Applied Design of Experiments and Taguchi Methods, PHI, India, 2011.
- Phillip J. Ross, Taguchi Techniques for Quality Engineering, Tata McGraw-Hill, India, 2005.
For detail syllabus of all other subjects of BE Mech (Sandwich), 2017 regulation do visit Mech (Sandwich) 10th Sem syllabus for 2017 Regulation.
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