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Thursday, October 18, 2012

PD9211 QUALITY CONCEPTS IN DESIGN SYLLABUS | ANNA UNIVERSITY ME CAD COMPUTER AIDED DESIGN 1ST SEM SYLLABUS REGULATION 2009 2011 2012-2013

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PD9211 QUALITY CONCEPTS IN DESIGN SYLLABUS | ANNA UNIVERSITY ME CAD COMPUTER AIDED DESIGN 1ST SEM SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIRST SEMESTER ME CAD COMPUTER AIDED DESIGN DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

PD9211 QUALITY CONCEPTS IN DESIGN L T P C
3 0 0 3 AIM
To study about robust design, embodiment principles, various methods in
design of experiments, reliability charts and histograms and six sigma techniques.
UNIT I DESIGN FOR QUALITY 9
Quality Function Deployment -House of Quality-Objectives and functions-Targets-
Stakeholders-Measures and Matrices-Design of Experiments –design process-
Identification of control factors, noise factors, and performance metrics - developing
the experimental plan- experimental design –testing noise factors- Running the
experiments –Conducting the analysis-Selecting and conforming factor-Set pointsreflecting
and repeating.
UNIT II FAILURE MODE EFFECT ANALYSIS 9
Basic methods: Refining geometry and layout, general process of product
embodiment- Embodiment checklist- Advanced methods: systems modeling,
mechanical embodiment principles-FMEA method- linking fault states to systems
modeling-Case study- computer monitor stand for a docking station.
UNIT III DESIGN OF EXPERIMENTS 9
Design of experiments-Basic methods- Two factorial experiments-Extended methodreduced
tests and fractional experiments, orthogonality, base design method, higher
dimensional fractional factorial design-Statistical analysis of experiments: Degree of
freedom, correlation coefficient, standard error of the residual t-test, ANOVA-ratio
test, other indicators-residual plots, Advanced DOE method for product testing-
Product applications of physical modeling and DOE, Blender panel display
evaluation, coffee grinder experimental optimization-Taguchi method.
UNIT IV STATISTICAL CONSIDERATION AND RELIABILITY 9
Frequency distributions and Histograms- Run charts –stem and leaf plots- Pareto
diagrams-Cause and Effect diagrams-Box plots- Probability distribution-Statistical
Process control–Scatter diagrams –Multivariable charts –Matrix plots and 3-D plots.-
Reliability-Survival and Failure-Series and parallel systems-Mean time between
failure-Weibull distribution
UNIT V DESIGN FOR SIX SIGMA 9
Basis of SIX SIGMA –Project selection for SIX SIGMA- SIX SIGMA problem solving-
SIX SIGMA in service and small organizations - SIX SIGMA and lean production –
Lean SIX SIGMA and services
TOTAL: 45 PERIODS
REFERENCES:
1. Product Design Techniques in Reverse Engineering and New Product
Development, KEVIN OTTO & KRISTIN WOOD, Pearson Education (LPE), 2001.
2. Product Design And Development, KARL T. ULRICH, STEVEN D. EPPINGER,
TATA McGRAW-HILL- 3rd Edition, 2003.
3. The Management and control of Quality-6th edition-James R. Evens, William M
Lindsay Pub:son south-western(www.swlearning.com)
4. Fundamentals of Quality control and improvement 2nd edition, AMITAVA MITRA,
Pearson Education Asia, 2002.

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