Design of Experiment detail syllabus for Production Engineering & Industrial Production Engineering (PE & IPE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RPI080), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other pe & ipe 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit PE & IPE 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-5 subjects do refer to Departmental Elective-5. The detail syllabus for design of experiment is as follows.
Unit I
For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Unit II
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 examples.
Measures of variability, Ranking method, Column effect method & Plotting method, Analysis of variance (ANOVA) in Factorial Experiments: YATE’s algorithm for ANOVA, Regression analysis, Mathematical models from experimental data. Illustration through Numerical examples.
Unit III
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.
Unit IV
For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Unit V
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 concepts, Taguchi’s inner and outer arrays, parameter design strategy, tolerance design strategy. Illustration through Numerical examples.
Books and References:
- Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition[Hardcover] George E. P. Box (Author) J. Stuart Hunter (Author), William G. Hunter (Author).
- Design and Analysis of Experiments [Hardcover] Douglas C. Montgomery (Author).
- Design of Experiments: An Introduction Based on Linear Models (Chapman & Hall/CRC Texts in Statistical Science) [Hardcover] Max Morris (Author).
- Design and Analysis of Experiments (Springer Texts in Statistics) [Hardcover] Angela M. Dean (Author), Daniel Voss (Author).
- Experiments: Planning, Analysis, and Optimization (Wiley Series in Probability and Statistics) [Hardcover] C. F. Jeff Wu (Author), Michael S. Hamada (Author).
- Statistical Design and Analysis of Experiments, with Applications to Engineering and Science [Hardcover] Robert L. Mason (Author), Richard F. Gunst (Author), James L. Hess (Author).
- Statistical Design and Analysis of Experiments (Classics in Applied Mathematics No 22. ) [Paperback] Peter W. M. John (Author).
For detail syllabus of all other subjects of B.Tech Pe & Ipe, 2019-20 regulation do visit Pe & Ipe 8th Sem syllabus for 2019-20 Regulation.
Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.