JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objective

The course aims at providing the students with the details of importance of quality

engineering in terms of tolerance through various mathematical models in ANOVA and orthogonal arrays.

Course Outcomes

At the end of the course, the student is able

• understand the concept of quality engineering in design and production.
• analyze tolerances of different components in various designs.
• perform analysis of variance in different levels.
• perform calculations through orthogonal arrays.
• understand and implement concepts of brain storming, bench marking and fishbone diagram.

UNIT - I

Quality Value and Engineering: An overall quality system, quality engineering in production design, quality engineering in design of production processes. Loss Function and Quality Level: Derivation and use of quadratile loss function, economic consequences of tightening tolerances as a means to improve quality, evaluations and types tolerances. (N-type, S-type and L-type)

UNIT - II

Tolerance Design and Tolerancing: Functional limits, tolerance design for N-type. L-type and S-type characteristics, tolerance allocation for multiple components. Parameter and Tolerance Design: Introduction to parameter design, signal to noise ratios, Parameter design strategy, some of the case studies on parameter and tolerance designs.

UNIT - III

Analysis of Variance (ANOVA): NO-way ANOVA, One-way ANOVA, Two-way ANOVA, Critique of F- test, ANOVA for four level factors, multiple level factors.

UNIT - IV

Orthogonal Arrays: Typical test strategies, better test strategies, efficient test strategies, steps in designing, conducting and analyzing an experiment. Interpolation of Experimental Results: Interpretation methods, percent contributor, estimating the mean.

UNIT - V

ISO-9000 Quality System, BDRE, 6.-sigma, Bench marking, Quality circles Brain Storming — Fishbone diagram — problem analysis.

REFERENCES:

• 1. Taguchi Techniques for Quality Engineering / Phillip J. Ross / McGraw Hill, Intl. II Edition, 1995
• 2. Quality Engineering in Production systems I G. Taguchi, A. Elsayed et al / McGraw Hill Intl. Edition, 1989.
• 3. Taguchi Methods explained: Practical steps to Robust Design / Papan P. BagchiI Prentice Hall md. Pvt. Ltd., New Delhi. M. TECH. I Year II Sem. (AMS)