MF9264 QUALITY AND RELIABILITY ENGINEERING SYLLABUS | ANNA UNIVERSITY ME MANUFACTURING ENGINEERING ELECTIVES SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY M.E MANUFACTURING ENGINEERING DEPARTMENT ELECTIVES 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 2010
MF9264 QUALITY AND RELIABILITY ENGINEERING L T P C 3 0 0 3
AIM:
To expose the students to the various quality control techniques and also to understand
the importance and concept of reliability and maintainability in industries.
OBJECTIVES:
To make the students to understand the various quality control techniques and to
construct the various quality control charts for variables and attributes and also the
design concepts for reliable system and maintenance aspects in industries.
UNIT I QUALITY & STATISTICAL PROCESS CONTROL 8
Quality – Definition – Quality Assurance – Variation in process – Factors – process
capability – control charts – variables X, R and X, - Attributes P, C and U-Chart tolerance
design. Establishing and interpreting control charts – charts for variables – Quality rating
– Short run SPC.
UNIT II ACCEPTANCE SAMPLING 8
Lot by lot sampling – types – probability of acceptance in single, double, multiple
sampling plans – OC curves – Producer’s risk and consumer’s risk. AQL, LTPD, AOQL,
Concepts – standard sampling plans for AQL and LTPD – use of standard sampling
plans.
UNIT III EXPERIMENTAL DESIGN AND TAGUCHI METHOD 9
Fundamentals – factorial experiments – random design, Latin square design – Taguchi
method – Loss function – experiments – S/N ratio and performance measure –
Orthogonal array.
UNIT IV CONCEPT OF RELIABILITY 9
Definition – reliability vs quality, reliability function – MTBF, MTTR, availability, bathtub
curve – time dependent failure models – distributions – normal, weibull, lognormal –
Reliability of system and models – serial, parallel and combined configuration – Markove
analysis, load sharing systems, standby systems, covarient models, static models,
dynamic models.
UNIT V DESIGN FOR RELIABILITY AND MAINTAINABILITY 11
Reliability design process, system effectiveness, economic analysis and life cycle cost,
reliability allocation, design methods, parts and material selection, derating, stressstrength
and analysis, failure analysis, identification determination of causes,
assessments of effects, computation of criticality index, corrective action, system safety
– analysis of down-time – the repair time distribution, stochastic point processes system
repair time, reliability under preventive maintenance state dependent system with repair.
MTTR – mean system down time, repair vs replacement, replacement models,
proactive, preventive, predictive maintenance maintainability and availability,
optimization techniques for system reliability with redundancy heuristic methods applied
to optimal system reliability.
TOTAL: 45 PERIODS
23
REFERENCES:
1. Amata Mitra “Fundamentals of Quality Control and improvement” Pearson
Education, 2002.
2. Bester field D.H., “Quality Control” Prentice Hall, 1993.
3. Patrick D To’ connor, Practical Reliability Engineering, John-Wiley and Sons Inc,
2002
4. Charles E Ebling, An Introduction to Reliability and Maintability Engineering, Tata-
McGraw Hill, 2000.
5. David J Smith, Reliability, Maintainability and Risk: Practical Methods for Engineers,
Butterworth 2002.
6. Dhillon, Engineering Maintainability – How to design for reliability and easy
maintenance, PHI, 2008.
MF9264 QUALITY AND RELIABILITY ENGINEERING L T P C 3 0 0 3
AIM:
To expose the students to the various quality control techniques and also to understand
the importance and concept of reliability and maintainability in industries.
OBJECTIVES:
To make the students to understand the various quality control techniques and to
construct the various quality control charts for variables and attributes and also the
design concepts for reliable system and maintenance aspects in industries.
UNIT I QUALITY & STATISTICAL PROCESS CONTROL 8
Quality – Definition – Quality Assurance – Variation in process – Factors – process
capability – control charts – variables X, R and X, - Attributes P, C and U-Chart tolerance
design. Establishing and interpreting control charts – charts for variables – Quality rating
– Short run SPC.
UNIT II ACCEPTANCE SAMPLING 8
Lot by lot sampling – types – probability of acceptance in single, double, multiple
sampling plans – OC curves – Producer’s risk and consumer’s risk. AQL, LTPD, AOQL,
Concepts – standard sampling plans for AQL and LTPD – use of standard sampling
plans.
UNIT III EXPERIMENTAL DESIGN AND TAGUCHI METHOD 9
Fundamentals – factorial experiments – random design, Latin square design – Taguchi
method – Loss function – experiments – S/N ratio and performance measure –
Orthogonal array.
UNIT IV CONCEPT OF RELIABILITY 9
Definition – reliability vs quality, reliability function – MTBF, MTTR, availability, bathtub
curve – time dependent failure models – distributions – normal, weibull, lognormal –
Reliability of system and models – serial, parallel and combined configuration – Markove
analysis, load sharing systems, standby systems, covarient models, static models,
dynamic models.
UNIT V DESIGN FOR RELIABILITY AND MAINTAINABILITY 11
Reliability design process, system effectiveness, economic analysis and life cycle cost,
reliability allocation, design methods, parts and material selection, derating, stressstrength
and analysis, failure analysis, identification determination of causes,
assessments of effects, computation of criticality index, corrective action, system safety
– analysis of down-time – the repair time distribution, stochastic point processes system
repair time, reliability under preventive maintenance state dependent system with repair.
MTTR – mean system down time, repair vs replacement, replacement models,
proactive, preventive, predictive maintenance maintainability and availability,
optimization techniques for system reliability with redundancy heuristic methods applied
to optimal system reliability.
TOTAL: 45 PERIODS
23
REFERENCES:
1. Amata Mitra “Fundamentals of Quality Control and improvement” Pearson
Education, 2002.
2. Bester field D.H., “Quality Control” Prentice Hall, 1993.
3. Patrick D To’ connor, Practical Reliability Engineering, John-Wiley and Sons Inc,
2002
4. Charles E Ebling, An Introduction to Reliability and Maintability Engineering, Tata-
McGraw Hill, 2000.
5. David J Smith, Reliability, Maintainability and Risk: Practical Methods for Engineers,
Butterworth 2002.
6. Dhillon, Engineering Maintainability – How to design for reliability and easy
maintenance, PHI, 2008.
No comments:
Post a Comment
Any doubt ??? Just throw it Here...