Design of Experiments detailed Syllabus for Industrial & Production Engineering (IPE), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.
For all the other VTU IPE 7th Sem Syllabus for BE 2018 Scheme, visit Industrial & Production Engineering 7th Sem 2018 Scheme.
For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for design of experiments is as follows.
Course Learning Objectives:
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Module-1
Introduction: Strategy of Experimentation, Typical applications of Experimental design, Basic Principles, Guidelines for Designing Experiments. Basic Statistical Concepts: Concepts of random variable, probability, density function cumulative distribution function. Sample and population, Measure of Central tendency; Mean median and mode, Measures of Variability, Concept of confidence level. Statistical Distributions: Normal, Log Normal &Weibull distributions. Hypothesis testing, Probability plots, choice of sample size. Illustration through Numerical examples.
Module-2
Experimental Design: Classical Experiments: Factorial Experiments: Terminology: factors, levels, interactions, treatment combination, randomization, Two-level experimental designs for two factors and three factors. Three-level experimental designs for two factors and three factors, Factor effects, Factor interactions, Fractional factorial design, Saturated Designs, Central composite designs. Illustration through Numerical
Module-3
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Module-4
Quality By Experimental Design: Quality, Western and Taguchi’s quality philosophy, elements of cost, Noise factors causes of variation. Quadratic loss function & variations of quadratic loss function. Robust Design: Steps in Robust Design: Parameter design and Tolerance Design. Reliability Improvement through experiments, Illustration through Numerical examples. Experiment Design Using Taguchi’s Orthogonal Arrays: Types of Orthogonal Arrays, selection of standard orthogonal arrays, Linear graphs and Interaction assignment, Dummy level Technique, Compound factor method, Modification of linear graphs. Illustration through Numerical examples.
Module-5
Signal To Noise Ratio: Evaluation of sensitivity to noise. Signal to Noise ratios for static problems: Smaller-the-better type, Nominal-the -better-type, Larger-the-better type. Signal to Noise ratios for Dynamic problems. Illustration through Numerical examples. Parameter And Tolerance Design: Parameter and tolerance design concepts, Taguchi’s inner and outer arrays, parameter design strategy, tolerance design strategy. Illustration through Numerical examples.
Course Outcomes:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Textbook:
- Design and Analysis of Experiments Douglas C. Montgomery Wiley India Pvt. Ltd 5th Edition, 2007
- Quality Engineering using Robust Design Madhav S. Phadke Prentice Hall PTR, Englewood Cliffs, New
Reference Books:
- Quality by Experimental Design Thomas B. Barker Marcel Inc ASQC Quality Press 1985
- Experiments Planning, analysis, and parameter Design C.F. Jeff Wu Michael John Wiley Editions 2002
- Taguchi Techniques for Quality Engineering Phillip J. Ross McGraw Hill International Editions 2nd Edn. 1996
For the detail Syllabus of all other subjects of BE (IPE) 7th Sem, visit Industrial & Production Engineering 7th Sem Subjects.
For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.