Metrology and Computer Aided Inspection

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METROLOGY AND COMPUTER ME01000561
FREE PDF ME01000561
Code: ME01000561 Credits: 4 Semester 1 AMT

Metrology and Computer Aided Inspection

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

Metrology and Computer Aided Inspection Syllabus — Unit-wise Content

The official GTU curriculum for Metrology and Computer Aided Inspection (subject code ME01000561) as prescribed for AMT · Semester 1 divides the course into 5 units, covering 28 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 (ME01000561)

Unit 1 Concepts of Metrology

9 lecture hours

  • Standards of measurement
  • Errors in measurement
  • Interchangeability and Selective assembly
  • Accuracy and Precision
  • Calibration of instruments
  • Basics of Dimensional metrology and Form metrology Program Name: Master of Engineering Level: PG Branch: Production Course / Subject Code : ME01000561 Course / Subject Name : Metrology and Computer Aided Inspection

Unit 2 Measurement of Surface Roughness

11 lecture hours

  • Types of Surface Texture: Surface Roughness Measurement Methods
  • Contact and Non-Contact type roughness measuring devices
  • 3D Surface Roughness Measurement
  • Nano Level Surface Roughness Measurement

Unit 3 Interferometry

8 lecture hours

  • Principles of light interference
  • Measurement and Calibration
  • Laser Interferometry

Unit 4 Computer Aided and Laser Metrology

10 lecture hours

  • Tool Makers Microscope
  • Coordinate Measuring Machines
  • Laser Micrometer
  • Laser Scanning gauge
  • Computer Aided Inspection techniques
  • In-process inspection
  • Machine Vision system-Applications

Unit 5 Image Processing for Metrology

7 lecture hours

  • Computer imaging systems
  • Image Analysis
  • Human vision system
  • Image model
  • Image enhancement
  • gray scale models
  • histogram models
  • Image Transforms - Examples

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