Advanced Metrology and Experimental Techniques

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KHUDKIBOOK
ADVANCED METROLOGY AND 3710808
FREE PDF 3710808
Code: 3710808 Credits: 4 Semester 1 CADA

Advanced Metrology and Experimental Techniques

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Advanced Metrology and Experimental Techniques Syllabus — Unit-wise Content

The official GTU curriculum for Advanced Metrology and Experimental Techniques (subject code 3710808) as prescribed for CADA · Semester 1 divides the course into 7 units, covering 67 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3710808)

Unit 1 Introduction

5 lecture hours

  • Concept of accuracy
  • Need for high precision measurement
  • Accuracy of numerical control system
  • Inaccuracy due to thermal aspects
  • Detailed surface roughness concept
  • Dimensioning & Dimensional chains
  • Surface and form metrology flatness
  • waviness cylindricity
  • Methods of improving accuracy & surface finish
  • Influence of forced vibration on accuracy
  • Dimensional wear of cutting tools and its influences on accuracy

Unit 2 Analysis of Experimental Data

8 lecture hours

  • Causes and Types of Experimental Errors
  • Error Analysis on a Commonsense Basis
  • Uncertainty Analysis and Propagation of Uncertainty
  • Evaluation of Uncertainties for Complicated Data Reduction
  • Statistical Analysis of Experimental Data
  • Probability Distributions
  • The Gaussian or Normal Error Distribution
  • Comparison of Data with Normal Distribution
  • The Chi-Square Test of Goodness of Fit, Method of Least Squares
  • The Correlation Coefficient
  • Multivariable Regression
  • Standard Deviation of the Mean
  • Students t- Distribution
  • Graphical Analysis and Curve Fitting
  • Choice of Graph Formats
  • Correlations, and Curve-fits
  • General Considerations in Data Analysis

Unit 3 Design of Experiments

4 lecture hours

  • Types of Experiments
  • Experiment Design Factors
  • Experiment Design Protocol and Examples

Unit 4 Laser Metrology

7 lecture hours

  • Free electron laser – optical alignment
  • measurement of distance – interferometry
  • reversible counting
  • refractive index correction
  • surface topography and optical component testing
  • beam modulation telemetry
  • pulse-echo techniques surface velocity measurements using speckle patterns – laser spectroscopy – modular beam spectroscopy
  • saturation spectroscopy
  • two photon spectroscopy

Unit 5 Holography

4 lecture hours

  • Basic principles
  • holographic interferometry
  • double exposure holographic interferometery
  • sandwich holograms
  • real time holography
  • time-average holographic interferometer
  • Character recognition

Unit 6 Coordinate Measuring Machine

6 lecture hours

  • Co-ordinate metrology
  • CMM configurations
  • hardware components
  • Probe sensors
  • Displacement devices
  • Performance Evaluations
  • Dynamic errors
  • Thermal effects diagram
  • Temperature variations environment control

Unit 7 Machine Vision and Image Processing

8 lecture hours

  • Machine vision systems
  • Vision system measurement ultisensory systems
  • Overview of Image Processing
  • Computer imaging systems
  • Image Analysis
  • Human vision system
  • Image model
  • Image enhancement
  • gray scale models
  • histogram models
  • Image Transforms

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