Experimental Techniques & Data Analysis Detailed Syllabus for Production Engineering M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Experimental Techniques & Data Analysis M.Tech 2017-2018 (R17) first year second sem is as follows.
M.Tech. I Year II Sem.
UNIT- I : Measurement of Cutting Forces: Strain gauge and piezoelectric transducers and their characteristics. Dynamometer construction, Bridge circuits. Instrumentation and calibration. Displacement and strain measurements by photoelasticity. Holography, interferometer, Moir techniques, strain gauge rosettes.
UNIT- II : Temperature Measurement: Circuits and instrumentation for different transducers viz, bimetallic, expanding fluid, electrical resistance, thermister, thermocouples, pyrometers Flow Measurement: Transducers for flow measurements of Non-compressible and compressible fluids. Obstruction and drag methods. Vortex shredding flow meters. Ultrasonic, Laser Dopler and Hotwire anemometer. Flow visualization techniques, Shadow graphs, Schlieren photography. Inter ferometer.
UNIT- III : Metallurgical Studies: Optical and electron microscopy, X-Ray diffraction, Bragg‟s Law and its application for studying crystal structure and residual stresses. Electron spectroscopy, electron microprobe. Surface Measurements: Micro hardness, roughness, accuracy of dimensions and forms. 3-D co-ordinate measuring machines.
UNIT- IV : Experiment design & data analysis: Statistical methods, Randomised block design, Latin and orthogonal squares, factorial design. Replication and randomization. Data Analysis: Deterministic and random data, uncertainty analysis, tests for significance: Chi-square, student‟s „t‟ test. Regression modeling, direct and interaction effects. ANOVA, F-test. Time Series analysis, Autocorrelation and autoregressive modeling.
UNIT- V : Taguchi Methods: Experiment design and planning with Orthogonal arrays and linear graphs. Additive cause effect model. Optimization of response level. Identification of Design and noise factors. Performance evaluation and Optimization by signal to noise ratios. Concept of loss function and its application.
REFERENCES:
- Holman, J.P.: Experimental Methods for Engineers, McGraw Hill Int., New York.
- Venkatesh, V. C., and Chandrasekharan, Experimental Methods in Metal Cutting, Prentice Hall of India, Delhi.
- Davis, O.V.; The Design and Analysis of Industrial Experiments, Longman, London.
- Box and Jenkins; Time Series analysis, Forecasting and control, Holden Day, San Francisco.
- Dove and Adams, Experimental stress analysis and motion measurement, Prentice Hall of India, Delhi.
- Tapan P. Bagchi, Taguchi Methods Explained, Prentice Hall of India, Delhi.
For all other M.Tech 1st Year 2nd Sem syllabus go to JNTUH M.Tech Production Engineering 1st Year 2nd Sem Course Structure for (R17) Batch.
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