Design of Experiments detailed syllabus scheme for B.Tech Automobile Engineering (AE), 2019 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Automobile Engineering 6th Sem 2019, do visit AE 6th Sem 2019 Onwards Scheme. The detailed syllabus scheme for design of experiments is as follows.
Design of Experiments Syllabus for Automobile Engineering (AE) 3rd Year 6th Sem 2019 DBATU
Pre-requisite:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Outcomes:
At the end of the course, students will be able to:
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Define Taguchi, factorial experiments, variability, orthogonal array, quality loss.
- Plan and design the experimental investigations efficiently and effectively.
- Understand strategy in planning and conducting experiments.
- Evaluate variability in the experimental data using ANOVA.
- Practice statistical software to achieve robust design of experiments.
Unit 1
Introduction
Modern quality control, quality in engineering design, history of quality engineering, The Taguchi Approach to quality: Definition of quality, loss function, offline and online quality control, Taguchi’s quality philosophy.
Unit 2
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Unit 3
Fractional Factorial Design
Fractional factorial design base done ight run experiments, folding over an eight run experimental design, Fractional factorial design in sixteen run, folding over sixteen run experimental design, blocking two level designs, other two level designs, Necessity to use more than two level, factors at three and four levels.
Unit 4
Taguchi Robust Design
Construction of orthogonal array, Additive model for factor effects, Signal to noise ratios, linear graphs, Taguchi Inner and outer arrays: Noise factors, experimental designs for control and noise factors.
Unit 5
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Unit 6
Computer Software for Experimental Design
Role of computer software in experimental design, summery of statistical packages, example of use of software packages.
Text Books:
- M. S. Phadke, Quality Engineering using Robust Design, Prentice Hall, Englewood Cliffs, NewJersey,1989.
- R.H. Lochner and J.E. Matar, Designing for Quality: An Introduction to the Best of Taguchi and Western Methods of Statistical Experimental Design, Chapman and Hall, London, 1983.
Reference Books:
- D.C. Montgomery, Design and Analysis of Experiments, John Wiley and Sons, New York, 5th edition, 2004.
- Peter Goos, Bradley Jones, Optimal Design of Experiments: A Case Study Approach, Wiley Publishers, July 2011.
- Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition, Wiley, January 2016.
For detail syllabus of all other subjects of Automobile Engineering (AE) 6th Sem 2019 regulation, visit AE 6th Sem Subjects syllabus for 2019 regulation.